Much has been written about how cloud computing changes the way businesses source their software and services. For software companies, instead of being installed inside the company, software like business applications run on a computer installed at an external site. If the external site is not shared with any other business, this is called a private cloud; if it is owned and operated by a third party and supports more than one business, it is called a public cloud. In the case of public clouds, users access the applications via the Internet, and increasing they can do this while out of the office, using laptops or mobile devices like smartphones and tablets. The main advantages of this model are that companies don’t need to invest in hardware or support staff to install and maintain hardware or software like these applications, the vendor handles system updates and users can work anywhere (including on the move) by logging in through a Web browser or an application designed specifically for mobile technology. Our research confirms that the overall importance is overall important in more than half (57%) of organizations.
New Generation of Recurring Revenue and Billing Inspired from Cloud Computing
Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Financial Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
8x8 Integrates Communications and Contact Center in the Cloud
8x8, Inc. was founded in the 1980’s to provide semiconductor products to the emerging personal computer market; in 2002 it was relaunched to focus on Voice over IP (VoIP) services. By 2008 it had become the second-largest independent VoIP provider in the U.S., and its product, Virtual Office, was widely used by businesses for telecommunications. In 2011 8x8 acquired Contactual and entered the cloud-based call center market. Today the company brands itself as a “communication and collaboration solutions provider in the cloud” and has two main product lines, Virtual Office and Virtual Contact Center.
Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Unified Communications
NICE Systems is best known for its suite of workforce optimization products [http://www.nice.com/workforce-optimization-lobby] that I recently assessed. However, after attending its user event last year, I wrote in 2013 that it was extending its portfolio and changing its focus to concentrate on packaged solutions that address specific business needs. Over the years the company’s portfolio has evolved through a combination of in-house development, acquisitions and partnerships. This approach enabled NICE to build a broad portfolio quickly, but it also created challenges in integrating the separate products into a homogeneous whole. One of the key acquisitions was Fizzback, which gave NICE entry to the market for customer feedback and voice of the customer (VOC) software. In this context I was keen to learn during a recently briefing how the company is integrating these products into a broader VOC portfolio.
Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Workforce Force Optimization
InContact Advances Workforce Optimization for Contact Centers
InContact has cloud-based products that cover multichannel communications infrastructure (sometimes referred to as a “contact center in the cloud”) and workforce optimization. The channel management products were developed by inContact and through a partnership with Verint. InContact has been working to make Verint’s workforce optimization products available in the cloud while integrating the two sets of products. I met Kristyn Emenecker, inContact’s VP of workforce optimization, at the recent ICMI Contact Center Expo to find out how the recent announcement that it has acquired Uptivity, which also provides workforce optimization products in the cloud, will impact that partnership and the future direction for the products.
Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Workforce Force Optimization
Contact Center Expo 2014 Highlights Cloud Computing and Customer Experience
I recently presented at the 2014 ICMI Contact Center Expo and Conference and have a few insights I want to share. I was impressed by the two main keynote speeches. In the first Bill Rancic, an entrepreneur, author and TV personality, talked about “How to Succeed in Business and Life.” Bill is not in the contact center industry, but he reminded the audience that individuals and companies that succeed in life and business grab opportunities when they come along. He went on to say that consumers (which includes you and me) are changing the ways we conduct our lives and the ways we engage with each other and with businesses. As we all know, use of mobile devices has rocketed, as has use of the Internet and social media, and as a result people are less inclined to talk to each other directly, choosing instead to text, post comments to social media or use the increasing number of mobile applications available; when we do talk, it is now increasingly likely to include video. This change creates opportunity for companies; those that meet expectations about communicating in these ways can grab the attention of customers and generate more business. I couldn’t agree more, having written about these changes myself. Consumers have already made these changes, and companies need to act now to grab the opportunities.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
NICE Delivers Customer Interactions with Next Generation Workforce Optimization
In my research of NICE Systems for several years I have remarked often that its biggest challenge is to integrate all the products that now make up its Customer Interaction Management suite. Through acquisitions, in-house development and partnerships, this suite has grown to include interaction recording, quality management, workforce management, incentive management, interaction analytics, performance management, real-time guidance, customer feedback management, mobile access and Web-based customer service. The company still offers each of these applications separately, but increasingly NICE bundles selected products into what it calls “solution suites” for uses such as workforce optimization. It also configures these suites to meet specific business needs such as voice of the customer and operational efficiency. These bundles require integration, common administration and management capabilities, as well as standardization of the user interface. My latest briefing by NICE executives showed the company moving in these directions but still having more to do to meet the expectations of a new generation of users. Successfully integrating applications to become business-related solutions is critical according to our benchmark research into next-generation workforce optimization, in which nearly half (48%) of participants said that integration is very important; analysis show that they want systems to be easier to use, to provide a better user experience, to be less error-prone and to connect processes such as customer feedback and workforce optimization. Version 6 of NICE Customer Interaction Management moves in this direction, with an integrated portal into performance management, workforce management and contact management, unified administration capabilities and enhancements to the user interface.
Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Mobile Apps, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Workforce Force Optimization
Customer Analytics Research Reveals Required Capabilities for Software
Our recently released research into next-generation customer analytics shows that the most participants (52%) use spreadsheets as a customer analytics tool. I recently wrote that while these popular tools are adequate for some tasks, they are not suitable for analyzing large volumes and many types of customer data. So I think it is appropriate that one in four (26%) participants have adopted a dedicated customer analytics tool and a further 29 percent are planning to invest in such a tool in the next 24 months.
Topics: Social Media, Customer Analytics, Speech Analytics, Voice of the Customer, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics
Interactive Intelligence Advances Contact Center Software Portfolio
Building a contact center is growing in complexity as companies struggle to support customers’ ever-higher expectations. Customers now insist on engaging with companies through the channel of their choice, often from a mobile device, and at a time of their choosing. If they interact with a person, they expect that person to have the social and technical skills to resolve their issues quickly and effectively. If they use any form of self-service, they expect the technology to help rather get in the way of speaking with a person. And of course many disgruntled customers don’t hesitate to publish their views on social media.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
Customer Analytics Deserve More Than Spreadsheets
I recently completed two closely related benchmark research reports, on next-generation customer engagement and next-generation customer analytics. The research on customer engagement shows that companies on average engage with customers through seven or eight communication channels and that almost every business unit except IT engages with customers. To provide customers with personalized, in-context and consistent experiences across these channels, companies need an up-to-date, complete view of their customers that gives those who interact with them the information they need to decide how to respond. However, the customer analytics research shows that the majority of companies don’t have access to such information and analysis. The most common analytics tool for more than half of companies is spreadsheets in 52 percent of organizations. Although spreadsheets meet individual users’ needs for ad-hoc analysis, they are inadequate for enterprise processes such as customer analytics. Almost three-fifths (57%) of companies in the research said that using spreadsheets makes it difficult to produce accurate and timely customer analysis.
Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Governance, Risk & Compliance (GRC), Information Management, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics
Envision Takes Workforce Optimization to the Cloud
Envision has carved out a slice of the workforce optimization market by offering its suite of products as cloud-based services. In addition to core products such as interaction recording, quality assurance, workforce management, training, coaching and agent analytics, it offers speech and desktop analytics and customer feedback management through surveys and our part of my research agenda. Our last Value Index shows that this is a highly competitive market, and my benchmark research on next-generation workforce optimization reveals that various segments of the market such as call recording and quality management have high levels of penetration. I was therefore keen to understand where Envision’s latest release, Click2Coach Cloud, fits in this market.
Topics: Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Force Optimization
Uptivity Launches Gamification Capabilities for Workforces
I am not comfortable with the term “gamification” used in the context of business applications. It sounds as if employees are officially allowed to play games while working and thus take their attention away from the task at hand, which in a contact center is serving customers. So I was skeptical when Uptivity recently wanted to brief me about gamification capabilities it recently announced for its suite of workforce optimization products. I was doubtful that gamification will help companies in their quest to optimize performance from their contact center agents.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
Customer Engagement in 2014: Agenda for Delivering Best Customer Experience
In 2013 we continued to see change in the contact center, customer service and customer experience markets: Consumers’ communication habits continued to evolve, more business units outside the traditional contact center became involved in handling interactions, software vendors continued to come up with new technologies, and cloud computing, mobility, big data, collaboration, social media and analytics all had a big impact on the ways users access and consume software. Many of these trends surfaced in my benchmark research on next-generation workforce optimization and next-generation customer engagement. Overall my research shows that organizations are slowly maturing in terms of the people, processes, information and technology they use to support customer engagement and related customer-facing activities. However, it also shows that many of the old issues have not gone away and that companies still have work to do to meet customer expectations and achieve their business goals.
Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Location Intelligence, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
Verint Doubles Down on Customer Engagement with Acquisition of KANA
Verint recently announced a definitive agreement to acquire KANA Software. Its goal, in the words of the press release, is to “transform the way organizations engage with their customers.” Customer engagement and customer experience management have become the topics of many conversations in my research area, so I wanted to understand the substance behind this move.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Force Optimization
Enkata Launches Action Center for Optimizing Employee Performance
Enkata, as I wrote not long ago is continuing to expand the range and capabilities of its products for optimizing employee actions while maintaining a firm foothold in analytics for the contact center and agents. Its latest release, Action Center, maintains this position with a focus on improving employee performance.
Topics: Customer Analytics, Customer Experience, Speech Analytics, Enkata, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics
Alteryx Advances the Process of Customer Analytics
The market for customer analytics continues to grow as organizations realize the current competencies and technology are not aligned to the priority of providing the best possible customer experience through supporting business processes. At the same time those organizations that have invested and continue to improve in this area are taking advantage of why I call a new generation of customer analytics. As I research into technology to support customer analytics, I had a chance to assess the work done by a business analytics software provider called Alteryx. My colleague Tony Cosentino who is the research director of our business analytics efforts recently wrote an analysis of Alteryx, but I wasn’t familiar with the company until my own briefing about its customer analytics focus. For the technical aspects of the product, you can consult Tony’s analysis, but I want to discuss several key points that came up during my briefing.
Topics: Social Media, alteryx, Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics
NICE Systems Acquires Causata to Optimize Customer Analytics
NICE Systems is well known in the contact center market for its suite of workforce optimization products. However, over the past several months it has gradually been expanding out of the pure-play contact center market into back-office and mobile applications, as well as the broader market of customer interaction handling. My research on the contact center in the cloud shows that customer interaction processes are getting more complex as customers demand faster, more personalized responses, interactions occur through more communication channels, and more lines of business are involved with interaction handling. My recent benchmark research shows that companies are becoming increasingly reliant on analytics to monitor and assess how well they are performing these critical tasks and in what areas they need to improve.
Topics: Social Media, Customer Analytics, Customer Experience, NICE Systems, Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, CRM, Desktop Analytics, Text Analytics
Verint Brings New Business Solutions to Optimize Customer Relationships
Earlier this year I wrote that Verint Systems, which makes workforce optimization and analytics products for customer engagement, has changed its focus from individual product capabilities to packaged business solutions that include specifically configured versions of its products. The first of those was real-time personalized guidance; it uses several of the company’s Impact 360 workforce optimization products to guide agents in real time as they handle customer interactions. I wrote at the time I was expecting more of these from Verint, and now it has brought out three additional solutions, which I learned about during a recent briefing.
Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Verint, Workforce Force Optimization
Enkata used to focus its products on improving agent performance in the contact center. It has gradually expanded that focus to include improving the performance of workers in the back office, an effort that has culminated in a suite of products that help companies improve processing of healthcare claims.
Topics: Customer Experience, Enkata, Operational Performance, Business Analytics, Business Intelligence, Customer & Contact Center, Call Center, Contact Center, Desktop Analytics, Workforce Force Optimization
IBM Improving the Science to Apply Business Analytics for Better Customer Engagement
I recently wrote how IBM is making customer analytics smarter. Since then IBM has run events in North America and Europe to demonstrate how it is continuing these efforts and expanding into other areas. Outside of the customer space you can read how my colleagues assess its efforts: Mark Smith discusses HR, Robert Kugel sees its impact on business overall, and Tony Cosentino addresses it in IT. Our research My focus remains the customer and I have learned more about what IBM is doing in social media, identity reconciliation, visualization, mobile apps and big data.
Topics: Social Media, Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, IBM, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, IBM Watson, Text Analytics
SAS Aligns Marketing and Customer Intelligence
I recently attended SAS’s European analyst event, where I went to focus on new developments around customer intelligence, an application of big data that SAS includes in its high-performance analytics and visual analytics. SAS offers an amazing number and range of products that is hard to keep track of, so I was glad to get a sense that now it is focusing more on business solutions built with data visualization and discovery, big data, data management, cloud computing, marketing analytics (which appears to be the new branding for customer intelligence) and enterprise decision management. It appears that the European event followed closely the lines of the U.S. event my colleague Mark Smith attended; he offers an analysis of the company’s wider messages.
Topics: SAS, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
Interactive Intelligence Reveals Ambitious Plans for Customer Service
At its recent user conference, Interactions 2013, Interactive Intelligence (Nasdqaq: ININ) showcased its extensive product portfolio and its ambitious plans to improve the products both technically and functionally. I have written more than once about the complexities of building a contact center, which is getting even more complex as companies begin to support more channels of interaction as inbound ones are distributed around the organization including sales (59%), marketing (46%) and CRM team (41%) and distribute to many different contact center sites according to our customer relationship maturity research. To keep up with developments, I divide contact center systems and applications into five groups:
Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Force Optimization
NICE Systems Leading Change at Interactions 2013
I recently attended NICE Systems’ annual user conference, this year called Interactions 2013. In discussions of its different products and latest releases and testimonials from selected clients, I was surprised by how the messages were packaged. NICE has a long history of acquiring companies, and it has let many of them continue to operate as autonomous lines of business. Often there was minimal integration with other NICE products, a variety of user interfaces, no common software administration tools. In my opinion this policy prevented it from taking advantage of having a suite of products focused on handling customer interactions. At the conference, Zeevi Bregman, CEO and President, positioned NICE as supporting three lines of business: interaction management, fraud and compliance, and security. He explained at length how the three are inextricably linked, tying fraud and compliance and security to interaction management and customer service. Fraud and compliance is linked to customer service because market segments such as banking have to ensure that the customer service they provide conforms to legislative requirements, and security is an increasing part of knowing customers and ensuring the safety of their information. Other executives also stressed these themes.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, NICE Systems, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Business Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
Companies Need Effective Contact Center Analytics
I began my involvement with contact centers – actually they were called call centers in those days -more than 20 years ago. I quickly learned that almost everyone involved in running a contact center is obsessed with metrics: queue times, average call handling times, agent utilization, average length of after-call work – the list seemed to be endless. Since joining Ventana Research I have carried out numerous benchmark studies into customer and contact center performance, and found things haven’t changed a great deal. The number of metrics has increased and old favorites are still high up on the list.
Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
IBM recently announced its new Customer Experience Lab. During a briefing I learned that the lab is a response to what IBM discovered by interviewing more than a thousand CMOs, who are concerned about the explosion of data companies collect about their customers. This explosion is being driven by changing customer communication preferences and the way customers now interact with organizations, which I recently highlighted in my post about the 2.0 world. My research into the contact center in the cloud shows a similar trend; although traditional channels such as telephone calls and email are still the most popular, channels such as social media, instant messaging, text messaging and video are fast catching up.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, IBM, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
Taking Advantage of a New Generation of Customer Analytics Using Big Data
Organizations have been talking about how to effectively analyze customer data for more than three decades. This has evolved into a desire for a “360-degree view of the customer” - a comprehensive picture drawn from all available data. As yet, not many organizations have achieved it. Our recent research into customer relationship maturity shows that fewer than one-third (31%) of organizations produce a single set of reports and analysis that the whole organization uses to support customer-related activities. Even those that do produce such a set of reports and analysis lack some critical information, such as customer interactions and social media comments.
Topics: Social Media, Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
Salesforce.com Helping Organizations Achieve Customer Excellence
I recently wrote that Salesforce.com was a vendor to watch during 2013, and during a recent briefing I heard more messages that support this view. First there was confirmation about financials. Even though the company is only 14 years old and the overall economy is not exactly booming, revenues for 2012 were up 35 percent to $3.05 billion, with Europe matching this with a 37 percent year-on-year growth. This not only shows the company is here to stay, but that the cloud is now well and truly established as a delivery model.
Topics: Sales Performance, Salesforce.com, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
Welcome to the 2.0 World of Technology Marketing
Like me, you have no doubt spotted the propensity for software vendors and consultants to call anything new “2.0”; for example, we have ERP 2.0 and CRM 2.0. Just recently during a joint Aspect and Microsoft presentation, the companies went one step further and introduced the concept of the 2.0 customer meeting the 2.0 company. My first reaction was one of horror, but as I thought about it, it became clear that customers have changed and so companies need to change to keep up – welcome to the 2.0 world.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization
Three Unified Communications Trends in Evidence at UCExpo 2013
I recently attended the Unified Communication Expo exhibition and conference in London to find out how much communications has been changing. As I entered the exhibition center the first thing I noticed was the huge variety of vendors on show, everything from major brands in the telecommunications industry (Aspect, AT&T, BT, Cisco, Mitel, Nokia and Siemens Enterprise Communications) to some major brands perhaps not so associated with telecommunications (Dell, Citrix, Google and Microsoft), to several niche players with products such as mobility management, IP-based voice and data networks, audio/web/streaming/video conferencing, email/chat/text messaging and unified communications (presence and collaboration), to suppliers of audio equipment (Dell, Jabra, Logitech, Plantronics and Sennheiser). For me the most disappointing thing was the lack of vendors focused on the contact center, with only Aspect, Enghouse Interactive, Microsoft (in partnership with Aspect), Noble Systems and ShoreTel in evidence.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization
Genesys Acquires Angel.com to Advance Contact Centers
The first positive signs for the “the new Genesys” emerged just 100 days after its sale by Alcatel was completed last year, and those positive signs have continued. The company has not only maintained strong development of its core products but has also made an aggressive move into the contact center mid-market, the contact center in the cloud market, and the multichannel communications management market. It strengthens its position now with the announcement of its acquisition of Angel.com.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Genesys, Mobile Apps, Self-service, Analytics, Business Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
Transera Uses Big Data for Customer Engagement Analytics
Transera is an established contact center in the cloud vendor with in-depth interaction routing capabilities. During a recent briefing I learned that it has now supplemented these capabilities by launching a new product that it calls Adaptive Customer Engagement. Although it’s not entirely obvious from the name, the product uses big data analytics to analyze past customer interactions, profile customers, then use these insights to optimize current and future customer-facing activities such as handling a live customer interaction, planning a marketing campaign or focusing agent training and coaching. The objective is to proactively influence these activities so the outcomes are better both from the customer’s and company’s perspectives.
Topics: Customer Analytics, Customer Experience, Speech Analytics, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Transera
OnviSource is best known for its OnviCenter Product Suite, which includes what is commonly referred to as workforce optimization (recording, quality, monitoring, workforce management, analytics) plus a telephony platform that includes a soft, IP-based PBX, IVR and call routing. It is available on-premises or through the company’s cloud-based option, OnviCloud. Recently OnviSource added a further option, OnviLink, and announced enhancements to OnviTel, its telephony platform.
Topics: Sales Performance, Customer Analytics, Customer Experience, Speech Analytics, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, OnviSource, Workforce Force Optimization
Verint Announces Real-Time Personalized Guidance
Recently Verint announced a new development in its workforce optimization suite Impact 360 Workforce Optimization that it calls Personalized Guidance. It aims to improve the customer experience by prompting anyone handling customer interactions with what they should do next. The principle is simple and logical: Analyze all the data you can so you understand the customer and context of the interaction, identify best next action, and prompt the person handling the interaction with this action so the customer receives a response best related to the interaction. Ideally, customers are happier and more interactions are resolved at the first attempt. The software also closes the loop and feeds information back to all other related lines of business so people there can also take appropriate action, which might mean changing a process, improving a product or updating a use guide, for example.
Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Verint, Workforce Force Optimization
Companies Miss the Point of Voice of the Customer (VOC)
The majority of companies think it is important to collect customer feedback, according to my recent research into customer feedback management, and they put that feedback to an average of five uses, the top five of which are to improve customer service (75%), to develop customer experience and interaction processes (54%), to identify agent training needs (54%), to improve products (50%) and to create a customer service strategy (49%).
Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
Best Practices and Benefits from Using a Customer Service Agent Desktop
My research into the customer service agent desktop shows that most centers expect a lot of their contact center agents: more than half (59%) handle between two and five different services (such as general queries, complaints and sales) and 14 percent handle seven or more. Nearly half (49%) are expected to handle between six and 15 calls per hour, and as well as calls, the majority (75%) are expected to handle other forms of interactions, with most handling between one and five per hour. To achieve these goals most agents (65%) have to access an average of three or four different business applications, as well as multiple communication channels and dashboards. To make matters worse, a minority (28%) still have to use multiple desktops to access these systems, and the majority (62%) have to sign into each system independently. It is therefore not surprising that only a third (35%) of respondents believe their agents are satisfied with their roles.
Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
2013 Direction of Technology for Customer and Contact Management
At the beginning of 2012 Ventana Research predicted that six major technologies would have an impact on the provision and supply of IT systems, and that these would bring about innovation in the way organizations support their business. Each of the six – business and social collaboration, mobile, analytics, cloud computing, social media and big data – has affected how organizations engage with their customers, but I don’t believe the full impact has yet been fully realized. Indeed, in some areas, their impact will accelerate.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
Customer and Contact Center Management Research Agenda for 2013
Despite the recession, 2012 was a busy year in the contact center, customer service and customer experience markets. Ventana Research completed four benchmark research studies into customer relationship maturity, contact center in the cloud, customer feedback management and agent desktop. Overall these show that organizations are slowly maturing in the processes, people, information and technology they use to support customer-facing activities. However, they also show many of the old issues have not gone away, and companies have still have lots to do in order to meet customer expectations and deliver on business goals.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Operational Performance, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
Verint Advances Integration and Interactivity for Workforce Optimization
In early 2012 I wrote a blog post about how Verint was overcoming some of its product integration issues by using an information-driven approach that allows users to drill down from key performance metrics into underlying application data. The latest version of its Impact 360 Workforce Optimization suite extends this approach and supports a flow of data between applications and workflows that enables cross-application processes. The suite of products includes interaction recording, workforce management, agent quality monitoring, eLearning and coaching, enterprise and customer feedback management, performance management, and desktop, process, text and speech analytics. The latest release is designed to make these operate seamless so that companies can manage processes related to handling customer interactions.
Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Verint, Workforce Force Optimization
Customers have always been important to companies, but what are the best metrics to measure the success of customer-related activities, and how well companies meet customer expectations?
Topics: Customer Analytics, Customer Feedback Management, Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Customer & Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics
Mplsystems Extends Beyond Contact Center in the Cloud
The parent company of mplSystems, Message Pad Ltd., was founded in the U.K. in 1994 and provides the infrastructure to support contact center operations. mplSystems’ main product family is intelligentContact (iContact), which is available either on premises or in the cloud. It is an interesting mix of products that covers call, email, chat, SMS, social media management and routing from a universal queue, a new social media product that routes social media posts to agents and provides the interface through which agents can respond. It offers some WFO capabilities, such as call recording, quality monitoring and workforce management, along with a new tool set that allows companies to build mobile customer service apps and a suite of reporting and analytics tools. Companies can choose to deploy as many of these applications as they require, adding more at a later date based on business demands to build a solution that meets the organization’s business requirements. mplSystems provides services to work with customers on these type of projects.
Topics: Microsoft, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications
Zeacom Enters the Growing Enghouse Interactive Contact Center Solution Empire
I recently wrote a blog post about how Enghouse Systems is expanding its portfolio of contact center vendors, and another detailing more about what capabilities its products support. I noted that its acquisition trail wasn’t over and that it was in the process of acquiring Zeacom. Although not quite evident from the Zeacom website, that deal is now done and Zeacom is part of Enghouse Interactive. This means that Enghouse Interactive now has three major contact center products, so it was good to catch up with a Zeacom executive to learn more about how Zeacom fits in with Enghouse Interactive’s overall portfolio.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization
Building The Collaborative Enterprise to Improve Customer Relationships
I have challenged some of the hype about the social enterprise because I feel “social” gives the wrong impression. For most people, social media is predominately about being social. While everyone likes to feel that going to work is partly about being social, when it comes down to it running a business is about winning customers, selling them your products or services, and providing customer service when needed. In today’s competitive markets, none of these is an easy task.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Operational Performance, Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization
CallMiner Introduces Real-Time Speech Analytics
I recently wrote how CallMiner had expanded into text analytics and had released its myEureka product, which in my opinion took the presentation of analytics to a new level. My colleagues agreed, and our firm awarded CallMiner the 2012 Ventana Research Technology Innovation Award for Customer Excellence.
Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Callminer, Analytics, Business Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
Vocalcom Supports Contact Center in the Cloud
Vocalcom is one of the up-and-coming names in the contact center market. Founded in 1995, it is headquartered in France but has a worldwide presence, with 4,500 customers and more than half a million users of its services. It may not be as well-known as other companies in the same space because many of the customers are in southern Europe, and a high percentage are outsourcers who use its services to provide contact center services based on its platform. It offers what I call multichannel contact center interaction management in the cloud – what some term “communications in the cloud.” A full contact center consists of the systems to manage multiple communication channels, systems to manage agent performance, business application such as CRM, and analytics. Vocalcom’s strength is in the former, along with integration tools that support interfaces with business applications and analytics that focus on interaction performance.
Topics: Salesforce.com, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vocalcom
Call Centre Expo 2012 Reveals Some Surprising Trends
Call Centre & Customer Management Expo has been running for several years now. The event provides an opportunity for contact center and customer service managers in Europe to catch up with all the latest and greatest going on in the market. At this year’s event earlier this week, as usual, I found the normal mix of presentations, vendor exhibition stands and other side events. The vendor show included a mix of core contact center vendors (interaction management, CRM, WFO, customer experience management, customer and contact center analytics), supporting vendors such as headphone suppliers and post code software, contact center media players and associated professional bodies. My primary interest is in the core multi-channel contact center market and vendors, and having attended for more years than I can remember, I look for emerging trends on what vendors are present and what they have to offer.
Topics: Sales Performance, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization
Confirmit Moves to Voice of Customer and Feedback Management
Confirmit is one of the leading vendors of market research services. It has a full range of products that support every step of the market research cycle. Its software lets users create surveys that can be delivered through multiple channels, perform panel management (managing teams of people that contribute to research programs), collect the data from completed surveys, and use a suite of reporting and analysis tools to gain in-depth insights from the data collected. The company has been steadily moving into the enterprise feedback market, using similar products and services that allow companies to focus on customers and employees. These developments have been accelerating, as evidenced by three recent announcements: the release of the company’s latest Horizons 17 software, a new set of services that focuses on the customer, and the acquisition of CustomerSat, an enterprise feedback management software and services provider.
Topics: Sales Performance, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Confirmit
Voice Print International recently announced it has selected Hewlett-Packard’s Autonomy to deliver speech and multi-channel analytics. This news means VPI joins a small group of vendors that can provide a view of customer interactions across multiple communication channels, which is of growing importance to companies. My research into the contact center in the cloud shows that companies now support an average of four to five channels of interaction with customers. Without a multi-channel view they are in danger of upsetting customers but not knowing what customers have tried before. The core challenge is that many interactions are either in the form of call recordings or text (email messages, forms, letters, chat and web scripts, and social media). Companies that cannot process all of these forms of data are left with an incomplete view.
Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, VPI, Management, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
Other Side of the Pond Takeaways from Salesforce Dreamforce
Saleforce.com puts on a marketing event that no other software vendor can come close to. Any CEO that can get MC Hammer rapping about your company as an introduction to your keynote has to be admired. The actual content got mixed reviews; my colleague Mark Smith saw some shortfalls in how Salesforce.com supports analytics, while Robert Kugel felt the company’s cloud-based software could help midsize companies.
Topics: Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization
Customer Feedback Processes Lagging in Companies Today
Many people these days talk about voice of the customer (VOC) programs and how they can improve business performance. The foundation of any VOC program is collecting customer feedback, analyzing it and using the insights to improve customer-focused processes, training and the use of technology. Changes usually focus on customer service, but increasingly companies are focusing on the customer experience – how companies engage with customers to resolve issues, provide information, close sales and respond to social media. Our benchmark research into customer feedback management shows that although their use of customer feedback to slowly maturing, companies still need to address a number of fundamental issues.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
NewVoiceMedia Provides Contact Center in the Cloud
Our recent benchmark research into the adoption of cloud-based systems to support contact center operations shows that around 10 percent of companies have adopted what is commonly termed communications in the cloud – that is, systems in the cloud to manage delivery of telephone calls to the right location, be it an internal extension number within an organization, a branch office number, a contact center extension or someone’s home or cell phone number. Given that telecommunication service providers manage calls in the cloud, it makes sense to intercept calls before they are delivered to a physical location, use rules to decide the correct final destination and route calls directly. NewVoiceMedia, founded in 2000, was one of the first companies to offer such services in the cloud. It first came to my attention at a UK contact center exhibition when within minutes of visiting its stand I was set up as a technical support agent and began receiving calls from its test contact center – very impressive given that with similar on-premises systems setting up such a task could take hours if not days.
Topics: Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, NewVoicemedia, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
Companies Should Consider Adopting Contact Centers in the Cloud
Our recent benchmark research on the contact center in the cloud shows companies are under more pressure than ever to upgrade their contact centers. The large majority of companies (73%) think it is very important to improve the way they handle customer interactions, and only a small percentage are fully satisfied with their current applications (19%) or their communications (14%). Upgrading presents a significant challenge, however, because simple call centers that handle only phone calls have been made obsolete by the need to support multiple channels of communications. Consumer communication preferences have changed, and as a result companies on average now support five channels of communication in their centers, with just over a third (37%) supporting six or more – the most popular being inbound calls (still tops), email, outbound calls, fax and postal mail.
Topics: Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
After this summer’s SAS European analyst event, I wrote that I came away less than convinced SAS was truly committed to the cloud, based largely on the fact that most other vendors are blowing their cloud trumpets much louder than SAS. It seemed developments in and around customer intelligence and its other products were higher priority to the company than its cloud strategy. However, after a recent update, I was left with no doubt that the cloud is important to SAS and that the company has a well–thought-through strategy based around two services that Ventana Research touched on earlier this year.
Topics: SAS, Customer Analytics, Customer Data Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics
Interactive Intelligence Embraces Business Process Management
The product page for Interactive Intelligence highlights what the company is best known for – IP-based business communications. This image is further strengthened by its flagship Customer Interaction Center platform, which offers organizations a fully featured multimedia contact center in the cloud. This offering includes multimedia communications in the cloud along with many of the capabilities that Ventana Research terms agent performance management. However, the company also offers a third set of products, which support business process automation. On first examination these seem somewhat tangential to the other products, but my research into customer relationship maturity shows the product sets are likely to converge more and more as organizations address the challenges of providing customers with excellent experiences.
Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Force Optimization
The Collaborative Enterprise to Support Customer Interactions
I’ve challenged a lot of the hype about the social enterprise, because I feel “social” gives the wrong impression. For most people, social media is predominately about socializing. While everyone likes to feel that going to work is partly about interacting with friends, when it comes down to it running a business is about winning customers, selling them your products and services, and providing customer service when needed. In today’s competitive markets, none of these are easy tasks. As I look across four of our benchmark research areas: customer information management, customer experience management, customer feedback management and customer relationship maturity, I have come to several conclusions:
Topics: Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Operational Intelligence, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
Enghouse Expands Its Portfolio of Contact Center Vendors
A look at Enghouse Interactive’s Products page shows it is not the easiest of companies to understand. Listed are six products – companies actually – that make up the parent: Arc Solutions, CosmoCom, Datapulse, Synellect, TelRex and Trio. As yet this list doesn’t include the latest acquisition, Zeacom. All the businesses in some way connect to multichannel communications and the contact center, with products that range, respectively, from communication management systems for Cisco, a cloud-based contact center, unified communications applications that improve collaboration between employees within an organization, a premises-based multichannel contact center, IP call recording and workforce management, and telephony systems, with Zeacom adding a cloud-based unified communications system based on Microsoft Lync.
Topics: Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Enghouse interactive, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
VPI Optimize Agents for Quality Customer Interactions
VPI, a well established vendor in the workforce optimization (WFO) space, was recently rated as a Hot vendor in the Ventana Research Agent Performance Management 2012 Value Index, which extends the traditional definition of WFO to include multichannel interaction capture, agent-related analytics, and agent compensation management. VPI’s Hot rating is a tribute to the functionality and architecture of its suite, even though it doesn’t include a WFM product (instead, workforce management is supported through integration with a number of the specialist WFM products) or compensation management.
Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, VPI, Knowlagent, Nexxphase, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Pipkins, Workforce Force Optimization
This month Kana announced it had acquired contact center provider Ciboodle. This comes a few years after Ciboodle was acquired by Sword, a marriage that apparently didn’t work out because Sword, a predominantly services company, didn’t make the necessary investment in the Ciboodle products to keep them competitive. Kana, looking to expand its portfolio beyond service experience management, spotted that Ciboodle, with its customer experience management portfolio, provided a good, complimentary set of products – so hopefully this ends up as a happy marriage.
Topics: Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Kana, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
My research into customer experience management shows that companies are increasingly aware that the customer experience has a profound impact on business success. In almost equal numbers, participants said it determines the loyalty of customers (21%), the propensity of customers to recommend the company to others (21%), the amount of additional purchases they make (19%) and their general level of satisfaction (19%). Furthermore, companies also realize that good experiences save money, because customers complain less (11%) and contact them less frequently (9%).
Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization
Agents Performance Management is Hot for Successful Customer Interactions
Our benchmark research into agent performance management shows that the majority of companies are not very mature in their use of people, processes, information and technology in handling customer interactions. Companies are most mature is their use of information, but even in this area they are hampered by their failure to use the latest technologies available to support their efforts.
Topics: Predictive Analytics, Sales Performance, Social Media, Customer Analytics, NICE Systems, Speech Analytics, Voice of the Customer, VPI, Call Copy, Enkata, Envision, Genesys, KnopahSoft, LiveOps, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Workforce Performance, Call Center, coaching, Compensation, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, OnviSource, Training, Verint, Workforce Force Optimization
Social Dynamx Enables Social Customer Service
I hear a lot of talk about the impact of social media on customer service and the contact center. My research into customer relationship maturity shows much of this is only talk. The research shows that while many companies have rushed to create a Twitter handle and a Facebook page and put video on YouTube, most are struggling to integrate social media into their customer service or more broadly their customer engagement strategy and processes.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Social Dynamx
SAS Expands Business Relevance in Using Analytics
After the SAS analyst event last year, I wrote that it is hard to keep track of everything SAS has to offer because it had so many products and developments in the pipeline. Back from this year’s event, I can report that 2011 was successful, its revenue and worldwide presence are up, and SAS continues to expand its channels to market. On top of everything I saw last year even more products and developments are in the pipeline, but the theme and focus remain the same: enabling business analytics.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Speech Analytics, Voice of the Customer, Management, Analytics, Business Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Governance, Risk & Compliance (GRC), Contact Center Analytics, Desktop Analytics, Text Analytics, Vendor(s)
Vitria Aims To Boost Adoption of Operational Intelligence
Ventana Research was the first analyst firm to cover operational intelligence, and a while back I wrote how the products of Vitria support proactive customer service by using event data to anticipate likely impacts of operation issues on customer service. Our research into the use of analytics shows that while more mature companies have begun to adopt OI, they are mainly early adopters. In an effort to speed up adoption, Vitria has developed what it calls operational intelligence apps and it has opened up a trial program for companies to explore how they can help improve their operations using these new applications.
Topics: Predictive Analytics, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Vitria, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Operational Intelligence, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
Jacada pioneered what I call a smart agent desktop when in 1990 it created the tools that allow companies to develop a desktop application that follows the process of handling a call, hides applications behind a simple-to-use interface and automates access and updating of systems. This smart agent desktop enables agents to answer calls more efficiently and effectively and to focus on the customer. The product includes tools that allow developers to map the process of handling different call types, build the user interface to match those processes, interface with applications and report on various aspects of how calls are handled.
Topics: Predictive Analytics, Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Jacada, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
Echopass Demonstrates Value of Contact Center in the Cloud
Our benchmark research into the contact center in the cloud shows that almost all companies now support multiple communication channels to engage with customers. Most of them also involve multiple business units in handling inbound and outbound interactions. More companies now support at-home agents, and contact centers are becoming more distributed. These scenarios are a good fit for cloud-based systems, and the research finds that the top three ways organizations said they can meet these challenges, and thus improve the way interactions are handled, are to improve training and coaching, adopt applications in the cloud and adopt communications in the cloud. It also shows that organizations have high expectations of cloud-based systems, expecting them to require less capital expenditure, facilitate innovation in interaction handling, lessen demand on in-house resources, including IT and better support home-based agents.
Topics: Predictive Analytics, Sales Performance, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Echopass, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications
Make It Simple for Customers To Engage with You
A recent research project involving 7,000 consumers carried out by the Harvard Business Review concluded that to retain customers and get them to buy more products, organizations must make it simple for people to engage with them, provide information they trust and allow them to weigh their options before they buy. The research found that consumers are bombarded with information and choices, and as a result they tend to go down the easiest route, which often leads them to take a blinkered view: I haven’t got the time and energy to consider options so I’ll take this one.
Topics: Predictive Analytics, Sales Performance, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Interactive Intelligence Offers Customers Mobile Self-Service
Interactive Intelligence announced Interaction Mobilizer, the latest application in its growing portfolio of products. As I recently wrote, Interactive Intelligence has come a long way since it launched its first software-based PBX in 1994. It was a pioneer in offering contact center applications in the cloud, which now include communications in the cloud and products for workforce optimization. The latest announcement follows similar ones from other vendors also announcing applications to support mobile self-service. Each of those products supports slightly different sets of capabilities, but all of them follow the trend to provide organizations with another channel through which customers can interact with them, and support customers who want self-service capabilities from their smartphones or tablets.
Topics: Predictive Analytics, Sales Performance, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management
NICE Transforms Customer Experience through Mobile and Interaction Intelligence
I attended NICE Systems’ annual Interactions (Twitter #Interaction2012) conference in Nashville to get the latest from this growing global software business that focuses on customer-centric applications. If you have not heard of NICE you might not be primarily involved in managing and interacting with customers, the area in which NICE has been growing organically and by acquiring technology providers that complement its existing portfolio. As we discussed in recent analyses, and NICE acquired Merced Systems for its sales- and service-centric performance management applications and Fizzback for customer feedback management software. Both have helped it become a more strategically focused software business. NICE Systems targets enterprise contact centers as well as financial risk, compliance and security. NICE makes its applications available not just on-premises but also in software as a service and hosted environments.
Topics: Predictive Analytics, Sales Performance, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, NICE Systems, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Financial Performance, Governance, Risk & Compliance (GRC), Operational Intelligence, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management
Customer Engagement Day Reveals New Issues and Opportunity
I recently attended the second in the series of customer engagement days organized by the Directors Club (GB & NI). The format of the event was the same as the first day that I wrote about and included three keynote presentations and three roundtable sessions where attendees discussed how organizations should engage with customers. As for the first event I chaired the roundtable on perfecting multichannel customer engagement in the contact center and gave a keynote on how social media is impacting the contact center.
Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Sustainability, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, NICE Systems, Social CRM, Speech Analytics, Voice of the Customer, Genesys, InContact, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management, Noble Systems, Verint
Interactive Intelligence Puts Meaning Back in Innovation
Marketing claims about a company’s innovation have become so common as to be almost meaningless, and this is true in the software business. That’s a shame because it obscures cases in which a vendor really is innovative. For example, at a recent partner and analyst event hosted by Interactive Intelligence (ININ), its CMO told me that ININ has stopped using the phrase “deliberately innovative” because claiming to be innovative isn’t helpful in getting across its messages.
Topics: Microsoft, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Unified Communications, Workforce Management
Verint Revamps Applications in Information-Driven Approach
Verint is one of the major players in the contact center market, with two suites of products that support contact centers and voice of the customer analysis. The company’s website shows that these suites have been put together from a combination of in-house developments and acquisitions (Blue Pumpkin, Witness Systems, Mercom, Iontas, GMT and Vovici are among them). Although this strategy has allowed Verint to create comprehensive suites of products in both areas, it also created issues with integration of the products and a lack of commonality in the user interface. These concerns were the main factors that kept Verint from being ranked as highly as it might have been in our last Value Index for Agent Performance Management (APM).
Topics: Predictive Analytics, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management, Verint
Last December NICE Systems announced a definitive agreement to acquire Merced Systems. I have been covering both companies for several years, and initially it wasn’t obvious to me why the acquisition made sense. My colleague Mark Smith wrote about the deal and expressed concerns about how the acquisition would impact both sets of customers and both organizations. Now it turns out that the Merced acquisition will have a much bigger effect on NICE than expected.
Topics: Predictive Analytics, Sales Performance, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management
SAS is one of the largest and best-known independent vendors of BI and analytics. The company’s website shows 16 product lines, and product variations to match almost every business analytics requirement in any industry. One of its core products lines is Customer Intelligence, which I wrote about last year. Customer Intelligence consists of four main components: strategy and planning, information and analytics, orchestration and interaction, and customer experience – among all these interesting areas, only the last really indicates what the products do.
Topics: Predictive Analytics, Sales Performance, SAS, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Customer Intelligence, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Contact Center Analytics, Desktop Analytics, Text Analytics
In the last several years many companies have shifted away from the mad pursuit of new customers toward focusing on retaining existing customers and winning more business from them. Against that background I expected to see a resurgence of customer relationship management processes and systems, but instead there is a growing focus on social media, customer experience management (CEM) and voice of the customer (VOC). I have already voiced my concerns on the level of focus on social business. My research into CEM shows that as yet few companies fully understand it or have the systems they need to support an enterprise-wide CEM initiative. The same seems to be true of VOC.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management
inContact Supports Customer Interaction Management
Managing contact centers typically includes five areas: communications management, workforce optimization, business applications such as CRM, analytics and customer experience management. Last year I wrote about how inContact has evolved from a communications provider to sell a contact center in the cloud that supports most of those requirements. Its products cover communications (ACD, CTI, Dialer and IVR), workforce optimization (Quality Management, Workforce Management and eLearning, which includes content production, hiring and screen recording), analytics (Reports 2.0, which through a partnership with QlikView provides enhanced reporting and analysis capabilities) and customer experience management (ECHO Customer Survey).
Topics: QlikView, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, InContact, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Workforce Management, Verint
ResponseTek Enhances Understanding of Customers
If they haven’t done so yet, businesses ought to become acquainted with two relatively new concepts: customer experience management (CEM) and voice of the customer (VOC). Ventana Research defines CEM as the practice of managing the customer experience at all touch points regardless of the communications channel being used. To manage that experience, three types of systems are directly helpful: smart desktop technology to help employees deliver great experiences to customers as they are occurring; smart self-service technologies that support easy-to-use, Web-based customer service; and customer feedback management to collect and analyze survey responses, free-form comments and social media posts. This focus is part of my research on trends and best practices in customer feedback management and is part of my latest research agenda. We define VOC as reports and analysis of all customer-related data (structured, unstructured and event-based), not just analysis of speech or feedback.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Callminer, ResponseTek, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
Expo Shows Maturity of Unified Communications
Like many other observers with a business perspective, I have been skeptical of unified communications, but a day I spent at the recent Unified Communications Expo 2012 went a long way to convincing me that unified communications has entered the mainstream. At this point I think organizations should consider it as a viable option to improve the efficiency of their communications systems, the ability to collaborate internally and with customers, and the effectiveness of their multimedia contact centers.
Topics: Microsoft, Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Dell, NEC, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, IBM, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Nokia, Vocalcom and Zeacom
Research Reveals Challenge of Building Customer Relationships
Businesses have long struggled to build ongoing, profitable relationships with their customers. Our new benchmark research into customer relationship maturity shows that this is not getting easier.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Customer Engagement Day Highlights Issues for Companies
My namesake Jon Snow is chairman of the Directors Club (GB & NI), an association for professionals who focus on dealing with customers.Recently he organized the first of a series of customer engagement days designed to bring together senior representatives of U.K. companies to listen to a few presentations about hot issues in engaging with customers and more importantly to share experiences and concerns about key customer engagement issues in roundtable discussions, such as “the rise of the social enterprise,” “listening to the voice of the customer” and “mobile customers require a mobile strategy.” In addition to presenting a keynote on the state of social media in customer service, I chaired a discussion on “perfecting multichannel customer engagement in the contact center.”
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Cicero provides what I call a smart desktop product. The software allows users to hide multiple applications behind an easy-to-use interface and build rules to complete tasks more efficiently and effectively, for example, specifying what field to complete next or the next question to ask a caller. It enhances customer experience management by enabling users to focus on the customers rather than on how to access the various systems, data and information needed to resolve interactions.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Voice of the Customer, Cicero, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics
The Customer and Contact Management Research Agenda for 2012
In all the years I have spent building contact centers and tracking this market, from both business and technology perspectives many things have not changed. Center managers are still under pressure to drive down costs, customers generally are not satisfied with the way their interactions are handled (perhaps less so), and organizations still aren’t making the most of customer interactions. However, as noted in my predictions for 2012, I am expecting more rapid change in the next couple of years than ever before with the advent of a collection of technologies that are already impacting business interactions with customer or by their actions.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Zeacom Announces Full Support for Microsoft Lync
A few months ago, I evaluated Zeacom CommunicationsCenter (ZCC), which provides a multichannel contact center that is integrated closely with business process automation. This allows organizations to build a contact center tied to their interaction-handling processes and deliver any form of interaction to the person most qualified to handle it. At the time of my review, the product ran alongside products from the likes of Avaya, Cisco and NEC, and was resold and supported by the partner networks of these suppliers. There was also a beta test under way that supported integration with Microsoft Lync, which provides an alternative to using PBX products from these vendors.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Zeacom
Enkata Expands Customer Analytics for a Better Customer Experience
The products of Enkata have generally been designed for what Ventana Research terms performance management for customer service and call centers, including applications connected to agent performance management (quality monitoring, coaching, training and related analytics) and operational performance analytics based on transactional, structured data. Recently Enkata has taken a new direction with its branding (“changing the customer experience”) and has been filling out its portfolio of products to include analytics for unstructured data, so it now includes speech (courtesy of a partnership with Callminer), desktop, cross-channel and text analytics; the last supports the analysis of customer surveys and social media posts.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Callminer, Enkata, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Workforce Management, OpenSpan
Confirmit Provides Customer Insights through Surveys
Ventana Research believes that to provide excellent customer experiences it is necessary to understand what customers want and their likely behaviors, and one direct way to achieve this is by collecting and analyzing customer feedback. The challenge for organizations in this regard is that most customers are reluctant to complete surveys unless they are provided at an appropriate time, in an easy-to-use format and through the channel of their choice. Confirmit’s Horizons products support collection and analysis of feedback from marketing campaigns, employees and customers. The core survey engine enables design and authoring of surveys, and add-on modules handle collecting data, panel management (of a panel of customers, employees or market segments to help focus business activities) and analysis and reporting. It was built on the Microsoft .Net platform, but the most recent release, version 16, extends support to other environments and browsers. This release also enhances security, scalability and availability so Confirmit can collect hundreds of millions of surveys for customers around the world. The product is available for deployment on-premises or as software as a service (SaaS).
Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Confirmit
Feedback Management Can Improve the Customer Experience
There is a lot of talk today in customer service circles about the “voice of the customer” (VOC). For some people it means speech analytics (literally the voice of the customer), some others use it as an equivalent to the “360-degree view” of the customer, and for others it is about customer feedback. At Ventana Research we take a broader view and define VOC as reports and analysis that include as much customer information as possible. It should draw data from all available customer sources and use various forms of analytics to extract, report and analyze it as fully as possible. I am also an avid supporter of customer experience management (CEM) and urge companies to focus on the experiences customers receive at every touch point. This is where I see VOC and customer feedback come together.
Topics: Predictive Analytics, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management
Clarabridge Advances Customer Experience Management
Clarabridge is an established vendor of text analytics products, which it sells both directly to the market and indirectly through an extensive set of partnerships with companies such as MicroStrategy, IBM Cognos and Verint. Recently it has been marketing its applications under the category of customer experience management (CEM). To me, CEM is about personalizing and influencing the customer experience while an interaction is in progress. Organizations cannot do this without the right information about the customer, and text analytics is one of the primary tools that allows organizations to derive that information; in this way Clarabridge fits in CEM.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Clarabridge, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Customer and Contact Center Management in 2012
After reviewing the benchmark research I carried out during 2011 into customer and contact center analytics, the use of technology in contact centers and the adoption of cloud-based contact centers and systems, I have come up with a list of critical investments that I predict will distinguish customer and contact center management in 2012.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Cloud-Based Contact Center Research Finds Deployment Growth
Cloud-based systems have arrived as an option for how organizations source their IT systems, now and in the future. Proponents of the cloud – of which I am one – will tell you they have several major advantages over conventional on-premises systems. They require little upfront capital expenditure; the major costs come as a monthly “rental” charge for using the service rather than an annual license; they are less demanding on in-house resources; they are quicker, easier and less risky to implement; there is no annual maintenance fee as updates are built into the service charge; and organizations have disaster recovery taken care of by the vendor. With this background I recently carried out benchmark research to discover organizations’ current and likely adoption of cloud-based systems to support their contact center operations.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
The old proverb “When all you have is a hammer, everything looks like a nail” applies well to the management of customer relationships. If business technology vendors are to be believed, managing customer relationships involves – indeed, is driven by – software.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
NICE to Acquire Merced Systems for Excellence in Customer Service and Sales
NICE Systems last week announced an agreement to acquire Merced Systems, a provider of business applications for customer service and sales organizations. This acquisition slipped by with little fanfare, but it marks a significant milestone for NICE, a major provider of applications and technology for call centers and a player in their evolution into multichannel contact centers. Building on a good 2010, as my colleague Richard Snow noted, NICE expects to reach almost $800 million of revenue in 2011, which would make it one of the largest companies in its segment. NICE has made multiple acquisitions to build its software portfolio, including purchases of Actimize, CyberTech, eGlue and others mentioned below. It recently won our 2011 Ventana Research Leadership Award in the contact center category with its customer deployment at Alliance Data. NICE Systems plans to have Merced Systems as a foundation of its enterprise systems and a complement to its contact center workforce optimization offering. This purchase builds on its other acquisitions, including FizzBack recently and IEX and Performix in 2006, which helped NICE establish its customer service and back office agent performance management software. That area has not grown as quickly as NICE would like, mostly due to marketing that was not aggressive enough in attracting customers. NICE recently rebranded its NICE SmartCenter for helping agents, as Richard noted, and is leveraging its assets into the back office, which he also assessed. Our benchmark research on contact center technology found that companies’ priorities for future investments match up well with NICE Systems’ focuses on expanding customer service agent applications and analytics applications.
Topics: Predictive Analytics, Sales, Sales Performance, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Marketing, Merced Systems, NICE Systems, Revenue Performance, Sales Compensation, Sales Force Automation, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Financial Performance, Workforce Performance, Call Center, CFO, CMO, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Sales Performance Management, SFA, Text Analytics, Unified Communications, Workforce Management
Actuate Brings Business Intelligence to Customer Information
Actuate, which develops commercial versions of the open source Business Intelligence Reporting Tool (BIRT) technology, recently held a one-day event in London. My colleague Mark Smith covers Actuate’s products, but I was impressed by the simplicity of the company’s message, the core of which is that the ActuateOne suite of products allows companies to extract data from multiple data sources, use one product to analyze it and present the results in multiple formats in response to individual user requirements. A key component of this visualization is how easily it can display the results on smartphones and tablets. Actuate presenters demonstrated these capabilities in a lengthy session designed to show that this is “BI for the layman”; that is, after some from help from IT in setting up access to data sources, users can do everything else through the software’s drag-and-drop capabilities. My recent benchmark research into contact center analytics suggests that such simplicity is critical for more business users to adopt BI; if companies are to move away from using spreadsheets to produce their customer and contact center analyses, in addition to being able to do more the new products will have to be as easy to use as spreadsheets.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Contact Centers Should Align Objectives and Metrics
It never ceases to amaze me, when you ask people what their business objectives are and how they are measured, how often the two have little in common. This has been the case consistently in the research I have carried out over the last eight years into customer service and contact center performance. The main objective for contact centers is to improve customer satisfaction, but the key performance metric is average call-handling time. Despite hours of contemplation and discussions with colleagues, I still can’t see how one relates to the other.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Zeacom Simplifies Multichannel Interaction Management
For years building a call center was technically challenging as it typically involved integrating proprietary products from multiple vendors. Although more vendors now offer integrated solutions, even these can difficult to administer and use because of variable user interfaces and gaps in the integration. These challenges become harder as companies expand their contact centers to support multiple communication channels and agents of several kinds dispersed over multiple locations.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Zeacom
Despite Recession, Acquisitions Continue in Contact Center Market
It has been a busy year for relationships among vendors in the contact center market and despite tough economic times, it doesn’t look like things are slowing down. For example, early this year Salesforce.com acquired Radian6 to strengthen its position as a supplier for what it calls “the social enterprise.” This is not a term I particularly like, but there is no doubt CEOs are interested in understanding what customers are saying about them on social media, and so this looks like a smart move. Just how many companies fully understand social media and the implications for their business is another question, but social media is not going to go away so I expect more companies to develop plans for it in 2012.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, [Vendor references]
Transera Delivers Contact Center Interactions in the Cloud
Throughout this year we have seen more vendors begin to offer a contact center in the cloud. The latestis Transera, which offers an integrated set of products that focuses on enabling interactions for customer service agents. It has four main groups of products: operations management, agent management, media and call management, and routing and queuing.
Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Transera
Interactive Intelligence Offers Trial Access to Contact Center in the Cloud
Cloud computing offers companies opportunity to innovate in the ways their contact centers handle customer interactions. Systems vendors have been gradually moving call and other interaction management to the cloud, along with some of the core applications required to operate a contact center such as call recording, workforce management and analytics. Interactive Intelligence is one of the front runners in this market with its Customer Interaction Center. To approach potential customers that aren’t convinced of the virtues of cloud-based systems, Interactive Intelligence recently launched a new service, Quick Spin, a trial version of the its suite.
Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management
I find that customer experience management (CEM) means different things to people. Recently I attended a seminar organized by Rapide, a U.K. technology vendor that specializes in helping companies improve their interactions with customers. The seminar included talks from speakers I don’t normally associate with CEM, and they opened up a new perspective that revolves around a concept I first explored while working at Price Waterhouse Consulting: Moments of Truth.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Rapide, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
New Customer and Contact Center Technology at Call Centre Expo
I have spent the last two days at the U.K.’s largest contact center trade show, which this year moved to London Olympia from the NEC in Birmingham. While the overall number of visitors seemed to be down, some exhibitors told me there were more high-level attendees with serious intent to purchase.
Topics: Predictive Analytics, SAP, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Call Copy, Enghouse interactive, Enkata, Genesys, NewVoicemedia, Nexidia, ShoreTel, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Cisco, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management, and Verint, cTalk Ltd, Noble Systems, Digital Technology
Interactive Intelligence Advances Cloud-Based Contact Center
Interactive Intelligence recently released version 4.0 of its Customer Interaction Center (CIC). CIC provides companies with integrated communications and contact center functions that can be deployed on-premises, in the cloud or in a hybrid environment divided between them.
Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management
Verint Will Acquire GMT To Extend Workforce Management
Recently Verint announced its intent to acquire GMT, a provider of workforce management products. My initial reaction was that Verint was primarily interested in acquiring GMT’s customer base to extend its already large share of the workforce management market. In a briefing Verint confirmed this but said there are other reasons behind its move as well.
Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Verint
NICE Acquires Fizzback for Customer Feedback Analytics
NICE Systems has agreed to acquire Fizzback, a specialist vendor of customer feedback management software. On first read this appears to be another acquisition to gain market share, as NICE already provides a customer feedback tool; however, Fizzback’s customer base is much smaller than NICE’s, so this looks unlikely. Representatives of NICE explained to me that the acquisition is part of its long-term strategy to enhance its customer feedback management capabilities and to build a stronger voice of the customer.
Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, NICE Systems, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Salesforce.com Presents the Social Enterprise
As he opened last week’s Cloudforce 2011 conference in London, Salesforce.com CEO Marc Benioff declared that companies “must become social or die.” He reiterated the message in answer to a direct question I put to him during lunch with the media and analysts. I have heard several of his keynotes, and reviewed my colleague analysis from recent Dreamforce conference in San Francisco. and this one had a distinct change of emphasis. Benioff seems to feel that the cloud argument has been won, his big CRM competitors have been overcome and it is time to focus on helping companies grasp the changed business environment they now exist in. Dare I say it, there was even a hint that the answer is software – specifically, software to enable what Salesforce calls the social enterprise.
Topics: Predictive Analytics, Salesforce.com, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Merced Customers Apply Analytics and Metrics To Improve Agent Performance
Ventana Research’s benchmark research into agent performance management shows that most companies recognize the vital role contact center agents play in creating good customer experiences and thus good business outcomes. The research also shows that only the most mature companies have put in place processes and metrics that encourage behaviors that deliver such business outcomes. Furthermore, the research shows that companies are held back from adopting more customer-related metrics because they don’t have performance management tools that can help them create such metrics; instead most rely heavily on spreadsheets. Thus I was encouraged to hear during a recent roundtable discussion sponsored by Merced Systems from two customers that have used the Merced Performance Suite to institute a more rigorous, metrics-driven approach to improving agent performance.
Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Merced Systems, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
LinkedIn’s CRM experts group is hosting an active discussion about what are the top three CRM systems. Along with the blatant promotion of certain well-known products, you can’t fail to notice that the term means different things to people, and that systems gathered under this acronym may cover a range of capabilities. A closer examination of the discussion shows that a majority of discussion participants associate CRM with sales force automation, fewer with customer service and the fewest with marketing. Dovetail Software belongs in the second group, positioning itself as specializing in “support and service software.”
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Dovetail, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Salesforce.com and the Big Picture from Dreamforce
Even here in the U.K., we are well aware that Salesforce.com’s annual event Dreamforce is happening this week in San Francisco. Unfortunately I couldn’t be there, but a contingent of the Ventana Research team is there, and from what they are telling me it is quite a show. I have written before that Salesforce has the best marketing machine in the world, let alone the software industry, and it seems to have topped previous events. The company undoubtedly has changed the way many companies think about software, forced many vendors to change their delivery models and is impacting the way consumers think about communicating and running their lives. But let me make a few long-range observations.
Topics: Predictive Analytics, Sales, Salesforce.com, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Alpineaccess Supports Home Agents and Cloud Communications as Outsourcing Alternative
In the past companies had two basic choices in how to provide call center services: internally or by outsourcing the service, typically to a company based where labor costs are low. Recently some companies have supplemented their in-company resources with home-based agents, and a growing number of providers offer outsourcing services in-country, for example, in North America. From a technology perspective as well, companies had two choices: on-premises or the outsourcer using its own technology. Here also a third option has opened up as technology vendors provide their systems “in the cloud,” housed at the vendor’s premises and accessed by users over the Internet. One of these is Alpineaccess, which offers an alternative to third-party outsourcing through home-based agents and cloud-based technology.
Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, [Vendor references]
In the past year various vendors have begun to offer some or all of the systems required to build and run a contact center through a cloud-based service. I recently came across another one, Echopass, which has a different operating model than I am used to. Its core services are provided by products from two vendors that as yet don’t provide their products in the cloud: Genesys, which supplies call routing, intelligent front-door and intelligent back-office workflow, and Verint for workforce optimization (WFO). Echopass supplements these with other vendors’ products, such as Voxify’s speech platform, speech engines from IBM and Nuance and Microsoft .Net and SQL services. Along with a number of in-house developments this array enables Echopass to offer what is in effect a best-of-breed suite that is integrated to create a unified offering.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Echopass, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Envision is an established provider of workforce optimization (WFO) products and last year was rated a “Hot” vendor in the Ventana Research Value Index for Agent Performance Management (APM). Its suite of products includes recording, quality monitoring, workforce management, coaching, e-learning, performance management and speech analytics. The WFO market is now quite competitive, and along with other vendors, Envision recently announced some product improvements. As well as a number of technical improvements – such as support for more Microsoft products, performance and scalability – the main improvements center on quality monitoring and training of contact center agents.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Envision, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
It has taken me a long time to recognize that companies function through a series of processes, mostly executed by people (employees) and supported by information and systems. I was familiar with process maps that show activities happening in sequence and branches caused by certain conditions, but these were mainly paper exercises; my working assumption was that people “just get on with things.” But looking closely reveals that getting on with things happens in processes. To help make this clear, OpenConnect provides a product designed to create process visibility of activities, variances and metrics, with the goal of improving performance.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, OpenConnect
Vitria’s Operational Intelligence Enables Proactive Customer Service
Vitria is one of a small group of vendors offering a type of analytics called operational intelligence. The term is not widely known, although Ventana Research has defined and tracked this market for many years and researched. We define operational intelligence (OI) as “a set of event-centered information and analytics processes operating across the network that enable people to take effective actions and make better decisions.” For its part Vitria defines OI as “a new type of real-time, dynamic analytics that delivers visibility into business operations.” Marry the two and you begin to see what differentiates OI from other forms of analytics.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Vitria, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Salesforce.com Customers Demonstrate Tactical Success
Salesforce.com (SFDC) brought five customers to a recent U.K. analyst event to talk about how they used different SFDC services to solve what turned out to be down-to-earth business issues. SFDC of course would have us believe that moving to the cloud is the only way to purchase IT systems (in its parlance, services) and that it has all the services to solve any issue concerning CRM, sales management, customer service, contact center, social media or software development. Only individual users can judge how successful these services are in their organizations, but the five chosen customers all seemed happy. I want to share with you some observations I gleaned from listening to them.
Topics: Predictive Analytics, Salesforce.com, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
I’m no great fan of three-letter acronyms, so I wondered what KANA Software means by positioning itself as the leader in service experience management (SEM), which is a term I had not heard. I have thought of KANA as a CRM vendor, but through a program of internal development and two acquisitions, it has transformed itself into something quite different. The acquisition of Lagan in 2010 added additional CRM functionality, enterprise case management and a track record of providing solutions to public-sector authorities. In April of this year Kana announced the acquisition of Overtone, which added text analytics capabilities, with a particular focus on analyzing content extracted from social media.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Kana, Lagan, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Overtone
CallCopy Continues To Refine Agent Performance Management
About a year ago I wrote that CallCopy had emerged as a major vendor of agent performance management (APM) software. Ventana Research has updated its definition of APM to mean the people, processes, information and systems involved in effectively managing the entire workforce that handles customer interactions, and this includes interaction recording, quality monitoring, workforce management, training, coaching, incentive management , agent-related analytics and performance management. Our revised definition recognizes that companies now have to manage more channels of communication and that more people, including home workers, are engaged in handling interactions.
Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Call Copy, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Verint Expands Feedback Management with Vovici
Verint recently announced that it has acquired Vovici,a vendor of enterprise feedback management systems. In light of the fact that Verint was recently rated the top vendor in the Ventana Research Value Index for Customer Feedback Management, at first it seemed odd that the company would buy another that offers a very similar product. In this situation the business driver often is to gain market share, with the net effect being that customers are left with fewer choices. Looking deeper reveals that is not so in this case; comparing the two product sets and target markets you can see benefits for current and future customers. Verint has positioned itself in the customer feedback market and has mainly focused on collecting customer feedback through IVR surveys. In contrast, Vovici has been in the enterprise feedback market and has capabilities for collecting feedback through channels other than IVR, and it also collects employee feedback as well as customer feedback. Thus the combination of the two product sets now enables Verint to offer survey collection and analysis across all channels, both for customers and employees. The Vovici product set also has capabilities to create and run social media-based groups, which provide another avenue for communicating with customers.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Verint, Vovici
Optimizing the Customer Experience Requires Dedication
In my research area, a lot is said and written these days about optimizing the customer experience. Some say it is done by improving key performance metrics such as customer satisfaction (CSAT), net promoter score (NPS) and customer effort score (CES). Others say customer experience management (CEM) is the “new CRM”; some think it is part of a multichannel service strategy, and for others it is as simple as managing social media. In my view it takes all of these, and other efforts, to optimize the customer experience, and thus it is difficult for companies to achieve. Customer experience management is the practice of managing the effectiveness of customer interactions so the outcome meets the customer’s and the company’s expectations. In any case, the key question is how companies achieve this goal.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Cicero, Cincom, MarketTools, ResponseTek, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Upstream Works, Confirmit, OpenSpan, Verint
If you look at the SAS Institute home page it appears easy to identify what it does – “the leader in business analytics software and services, and the largest independent vendor in the business intelligence market.” My colleague recently assessed them as the multi-billion dollar business analytics supplier which I would agree. However, at the company’s recent analyst event I learned that this description only skims the surface of what it really does; even SAS CMO Jim Davis said he couldn’t be sure of the exact number of products it has (more than 200). Some things, however, are more evident: SAS is successful, with revenues up 6.7% on a like-by-like basis from last year; staff numbers continue to grow (up 2.4% from 2010 and 2011 already showing a 4.9% growth); Fortune named it one of the best places to work; customer satisfaction scores are at an all-time high; and it has enough cash in the bank to be self-funding and able to execute an extensive acquisition program, including companies such as DataFlux, which specializes in data management.
Topics: Predictive Analytics, SAS, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
Managing Customer Communications in a Multichannel World
In the customer service and contact center markets we used to talk about phone calls, letters, faxes and email; now we talk about “communications,” “interactions,” “contacts” and “touch points.”These four terms are used almost interchangeably to talk generally about actions involving customers and can include all forms of communication – calls, documents (letters, email, forms and surveys), website visits, text messages, instant message (chat) sessions and social media – over all types of channels – fixed and mobile phones, in person and the Web. This proliferation of forms and channels of communication has caused various issues for companies.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
inContact and Siemens Enterprise Communications Working the Contact Center in the Cloud
While the contact center business is not the most dynamic market, it is undergoing more changes than I have ever seen. One of the biggest changes is coming about because of cloud computing. This trend was led by salesforce.com, and the impact is now being felt in the contact center market as more vendors start to provide a “contact center in the cloud.” I recently wrote about inContact , one of the first vendors to provide a full contact center in the cloud. Recently inContact announced an important partnership – and it’s not an obvious match.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, InContact, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Siemens Enterprise Communications
My research into customer analytics shows three important things: Text analytics are at the early adopter stage; companies still use spreadsheets as their main tool for analysis; and to move companies away from spreadsheets vendors must offer tools that are as easy to use as spreadsheets. That’s no easy task, given the huge volume and varied types of text data companies are generating and the complexity of analyzing unstructured text. However, the research also indicates that this challenge will be met, and a new software release from text analytics vendor Attensity is the type of product that can help companies overcome these challenges.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
InContact Enhances Contact Center in the Cloud
I have been writing quite a lot lately about the contact center in the cloud. Now it seems that more vendors are moving in this direction. One of them, inContact has evolved from a telecommunications carrier into a software vendor and now has a suite of products for a contact center in the cloud. It includes many of the necessary communications management capabilities (such as ACD, IVR, CTI and autodial) as well as key workforce optimization applications such as interaction recording, quality monitoring, workforce management and e-learning. Recently inContact announced three new features that add even more capabilities.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, InContact, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management
Clarabridge Expands to Europe and Deepens Text Analytics
In March U.S.-based text analytics vendor Clarabridge opened an office in the U.K. and recently celebrated it at the British Library in London. Sid Banerjee, the company’s founder and CEO, brought over key members of his team along with representatives of three U.S. clients. He explained that the new office would enable the company to support international clients better and allow expansion into European countries. The three clients then gave detailed presentations on how they use the Clarabridge product to understand their customers better and to use the insights gained to improve business performance.
All had similar messages. They felt forced to support more channels of communication with their customers, especially social media. As a result they were generating much greater volumes of text-based data – email, forms, surveys and social media interactions – but weren’t using it to generate insights apart from through some highly manual processes that provided very limited results. They had automated the analysis process using Clarabridge tools, and all three said the insights they gained far exceeded their expectations, especially as they could tie together insights gained from both structured and unstructured data.
All three, to one degree or another, were advocates of net performer scores (NPS) and said that analyzing free-form text from their surveys enabled them not only to produce the NPS scores but understand better what was driving customers to score them in the ways they were, both positive and negative. The customers said they used these insights to drive improvements across the business. In effect this confirmed my conclusion that the real value of analysis and metrics lies in taking action driven by that analysis. These actions should take the form of improvements in products, processes (especially those related to activities that cross business units), and most importantly the performance of people, either to focus training or to motivate individuals.
Alongside all these positive messages, there is one note of caution or perhaps better described as a learning experience. Each company had bought the product for its own reasons and with its own goals in mind. But again they echoed a message I have heard from other users of text analytics (and speech analytics as well), which is that a company won’t really understand the full benefit of this technology until trying it. This is best illustrated by an example I often use. Many users start by “defining” what they consider to be a complaint, which many do by trying to spot words, phrases and sentiments that they believe customers use when complaining. The first few trials might indeed spot some complaints, but many users I have spoken to discover that the language customers use is not quite what they expected. It is therefore important to have tools that allow users to “look at” the content of their initial complaints and further refine their definitions until they are not only picking out true complaints but can drill down into different classes and types of complaints – for example by product, call center agent, channel of communication or IVR script – and also the severity of complaint – minor, major or threatening to desert to the completion. Down at this level, users I have spoken to say, they see how to get the most benefit from their text analytics product.
With this in mind, Clarabridge announced in its version 4.5 “Tower” release can help apply text analytics to your customer and consumer level analytics. One of the new capabilities it calls “word clouds” which come as part of several new analytics capabilities. Word clouds show users in graphic form the content of text, helping them identify words and phrase they should be zeroing in on. Other new capabilities include easy-to-use dashboards, more advanced visualization options and improved sharing of data and insights between users. The explosion in social media has led Clarabridge to include interfaces to more social media sites, so users can extract data directly from them and one of my recent points of emphasis. The new release comes with support for two more languages, French and Portuguese, with more promised to support the expansion into Europe. Alongside these function enhancements are several new administration features that make the product easier to set up, configure and manage. This release builds on my last analysis of Clarabridge that I see as connecting the dots in finding causal factors contributing to good and bad customer experience.
My recent research into customer analytics shows that adoption of text analytics is slightly lagging behind speech analytics. At the same time, there is no doubt that the explosion of social media is influencing companies’ requirements. Most companies I speak with want at least to monitor what people are saying about them on social media and determine their overall sentiment towards them. Text analytics is the right tool for these tasks, and as the three companies speaking at the Clarabridge launch highlighted, once you get the hang of using it, the benefits to be had are many and varied.
Have you invested in text analytics? I have provided you the focus that it is part of the contact center revolution in 2011, and now it is up to you to act upon. If so please tell us the benefits you have found and we can in return provide you some insightful research on customer analytics and role of text in your processes.
Regards
Richard Snow – VP & Research Director
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Clarabridge, Operational Performance, Analytics, Business Analytics, Business Intelligence, Customer & Contact Center, Customer Service, Information Management, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
Conference Highlights Social Media, Analytics and the Customer Experience
The Directors Club of the U.K. recently held its inaugural National Customer Show in London. The event was well attended and attracted sponsorship from some of the biggest vendors in the contact center industry; among them were platinum sponsors Interactive Intelligence and salesforce.com, and session sponsors Nexidia and SwordCiboodle. I noticed three common themes, covering very different aspects of managing the customer, and I’ll hit the highlights of each.
Social Media
These days you can’t escape discussions about social media and the impact it is having on how companies interact with customers and prospects. As I recently wrote, social media is here, and millions of people are using it to communicate with friends, colleagues, businesses and even government. But all the hype, statistics and YouTube videos are masking the realities of business use. My research shows that as yet social media has had little impact on the contact center, and at the show I found confirmation of this point. I also heard more people than usual, even from salesforce.com, uttering cautionary words about social media. The reality is that business use outside of marketing and training videos is still low and consumer use is largely confined to complaining. Several people picked up the latter point; whereas in the past one complaint was heard by a few tens of people, now a single complaint may be heard by thousands (and potentially by millions) of people. Companies need to be aware of this; they need to monitor comments and take positive action about them and do whatever is possible to not let the things that generated the complaints happen again. So the message was monitor social media, have a process and people in place to take appropriate action and have a process to address the root cause of customer issues.
Contact Center Analytics
Throughout the show, and at one session I chaired, I heard conversations about the need for companies to review their existing metrics and add new metrics that reflect their business goals, rather than settle for efficiency metrics that just show how well things are or are not working. The general consensus seemed to be that no one metric is going to fit the bill for all companies. Yes, net promoter scores add insight to potential new business, and having good customer effort scores makes sense from an efficiency and customer perspective because making it easy for customers to interact with your company is likely to generate more business at lower costs. But companies need a balanced set of metrics from contact center analytics that I recently researched that reflect their business and priorities. I was pleased to find considerable support for my view that having “metrics for metrics’ sake” is pointless and that companies need to have in place processes that ensure action is taken based on their key performance metrics.
The Customer Experience
As a concept, customer experience management is going the same way as CRM, in that it means many things to different people. For me it is about proactively managing the experience customers receive at any touch point. So when it comes to the most popular channel – calls to the contact center – CEM is about how agents handle each and every customer call.
This theme was echoed during one session I attended that connected customer experience with agent empowerment. My benchmark research into CEM has shown that the major influence on the customer experience is the agent’s attitude. The discussion took up the theme that if agents are not empowered to handle calls effectively then customers are likely to go away unhappy. Empowerment seemed to come down to doing some basic things well: process (not doing dumb things), training and coaching, motivation, and setting rewards and performance metrics that positively encourage agents to do a good job and deliver to the company’s business requirements.
Personally I like the theme “take the dumb out of handling customer interactions.” Too many times companies do dumb things: asking customers to repeat information they have given before, having metrics that drive agents to do the wrong things (keep calls short rather than solve the problem), using IVR menus that don’t match what customers want to do, providing inconsistent information on different channels – the list goes on. If companies would stand back and examine objectively the dumb things they are doing and put them right, we would all get a better experience.
In this day of social media fixing broken processes is even more important. Dumb things will end up exposed in public. This begs the question of who should be responsible for social media, because one dumb response can cause more trouble than the original issues. As a result companies need to pay more attention to interaction-handling than ever before.
Are you ready to cope with this new environment? Can you be certain that interactions are being handled consistently and effectively across all channels? How is social media impacting customer experience and do you use analytics to gain better visibility to what you do not know. If so, I’d love to know how you do it.
Regards
Richard Snow – VP & Research Director
Topics: Predictive Analytics, Sales Performance, Salesforce.com, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Nexidia, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Workforce Management, SwordCiboodle
Recently Verint Witness Actionable Solutions announced the latest release of its Impact 360 Workforce Optimization software, which it calls the first “fifth-generation” product in this space.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management, Verint
Think Carefully about Social Media and Your Customers
Unless you have been on a long vacation somewhere without newspapers, mobile phones or the Internet, you must have noticed all the buzz about social media – some of it factual and lots of it hype. Over a billion people use Facebook. There are many millions of tweets on Twitter every day, and YouTube has become the place to share videos, whether for a laugh, for a company’s brand awareness or for training courses. The key question for business is how much of this is useful for commerce and how much is just socializing. I started researching this movement and its intersection some time back and last year spoke about Customer Service in the Social Media Age.
Companies should be looking at social media as another channel of communications with their customers and prospects. My research into the state of technology in contact centers shows that companies on average now support four channels of communications but that as yet social media is the least used. This is due to some extent to its newness, but I believe other factors also come into play. Social media is different than other channels. It is much more open-ended, and it is impossible to control who (and how many people) might see an entry. Therefore, companies and customers should be careful about what they post (or allow employees to post in their name). Social media generates high volumes of communications and thus can consume lots of time and effort both to keep up with and respond to entries. And like it or not, it is open to abuse, such as with disgruntled consumers running negative campaigns against companies, companies manipulating entries to sway consumers’ views and both sides reacting badly to provocative entries.
Another significant difference is that use of social media transcends business units; this might be the hardest thing for companies to reconcile. As a speaker pointed out at the recent IQPC Executive Customer Contact Exchange (ECCE) conference, business can use social media for four activities – brand management (marketing), sales, customer service and product development. Of these it seems that the most use is for brand management, with marketing departments using it as a “cheap” channel to place advertising and also to monitor consumer comments about the company or brand. The next widest use is in the largely negative side of customer service, as customers post negative comments about companies, products and the quality of service they receive, and some companies respond. At the very least companies should be monitoring these comments using one of the many social media analytics tools; doing so they can extract a wealth of insights into what they and others are doing right and wrong (most often the latter).
At the present time other uses are less common. A few companies have extended the use of social media into their end-to-end customer service processes, such as in picking up entries requesting information on how to get a product working. This typically involves capturing social media entries using one of the engines now available, routing service entries to the contact center or customer service group, and then having someone post a response through the same channel or if appropriate a different channel. In a similar way some companies are picking up potential sales opportunities, as in the form of entries requesting information about a product, and routing these into their sales process. Finally some innovative companies are using social media forums to solicit feedback on potential product developments or enhancements.
It is still uncertain which of these uses will deliver real business value, but as companies experiment with social media, I advise them to take into account that typically each of these four uses is the responsibility of a different business unit. My research on the use of technology shows that one of the most important things for companies and customer alike is consistency – of information and experience. Inconsistency in either means increased costs (providing multiple channels to get an answer), increased customer frustration and loss of potential business. To avoid these, companies should regard social media as a cross-business-unit responsibility and ensure that all use a single source of customer information and synchronize their processes across unit boundaries.
There was also a lot of discussion at the ECCE event as to how companies should put together their social media strategy. It seems to me that the first thing companies should do is “listen” to how their customers are using social media and what they are saying on different sites. Several vendors are doing this that I have been assessing including Attensity, Clarabridge, Genesys, ResponseTek, RightNow, salesforce.com and SAS These products, some of which are deployed in the cloud, can extract relevant entries from different sites and use text analytics to assess the content. Once you have this ability to listen you’ll be in a position to decide strategy and how best to benefit from social media going forward. Where does your company stand with regard to social media? What uses are you making of it? Do you have a product in place to monitor what is happening? Drop me a line and tell me about your experience.
Regards,
Richard Snow – VP & Research Director
Topics: Predictive Analytics, Sales Performance, Salesforce.com, SAS, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Clarabridge, Genesys, ResponseTek, RightNow, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics
Twenty years ago, when I began consulting in the contact center industry, building a call center was a hard, resource-consuming task. Just to begin handling calls required purchasing lots of proprietary equipment, such as PBXs and automatic call distributors (ACDs), as well as software for computer/telephony integration (CTI) and business applications such as case management and CRM – and then spending a lot of time and effort integrating them. Lots of tasks were managed using spreadsheets, and if you wanted anything more than the basic reports available from your PBX/ACD supplier, you would have to budget a great deal more money. Right from those early days, call center managers focused on efficiency and relied on basic metrics such as queue lengths, average call-handling time, hold times and call transfers.
Topics: Predictive Analytics, Sales Performance, SAP, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, InContact, LiveOps, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management, Contactual
Interactive Intelligence Integrates Contact Center Interactions
Interactive Intelligence (ININ) recently invited partners, consultants and analysts to Portugal to hear about the latest developments in its products. Not surprisingly given the extensive range of products it now supports, none of us had much time to enjoy Lisbon but were put through an intensive program of presentations and discussions.
Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, RightNow, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management
