2017 has been a year of major changes in the contact center market: several significant acquisitions, vendors expanding their capabilities to support more channels of engagement, a continued trend to move products to the cloud and, as a result, more vendors expanding their global presence. One such vendor is NewVoiceMedia. When I last wrote about the company I pointed out that when it was founded in 2000 it was one of the first vendors to move telephony management to the cloud and offer contact center in the cloud services. At the time I wrote my perspective, it had just raised considerable funding to help it further develop the product and expand its presence around the globe.
NewVoiceMedia Invests for Contact Center in the Cloud Success
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Customer Service, Contact Center, Omnichannel, Customer Journey Maps, Workforce Optimization
NICE Integrates Cloud Platform for Customer Engagement
Our benchmark research over the last couple of years confirms what we all instinctively know: Consumers engage with each other and organizations using an increasing number of engagement channels. Indeed, our latest research into the next-generation contact center in the cloud shows the average number of channels organizations now support has grown to almost eight. The same research confirms that organizations now realize the way to compete is to match or exceed customer expectations regarding how these interactions are handled. Summing these expectations up, customer engagement must be easy, personalized, in-context and above all consistent across all channels.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Customer Service, Contact Center, Omnichannel, Robotic Process Automation, Customer Journey Maps, Workforce Optimization
Aspect Software Makes Progress with New Customer Engagement Center
Not many years ago, building and running a contact center was a complex task. Organizations typically had to license all the systems they required (most of them proprietary and on-premises), customize them to meet their requirements and integrate them into a workable architecture. But beyond all the systems issues, the key to running the center was forecasting the right number of skilled agents that would be needed to handle expected interaction patterns and then routing calls to the most skilled agent for that specific interaction.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Customer Service, Contact Center, Omnichannel, Robotic Process Automation, Customer Journey Maps, Billing and Recurring Revenue, Workforce Optimization, Digital transformation
RingCentral Integrates Contact Center and Unified Communications
Customer engagement is undergoing its biggest transformation in decades. Consumers now use a significantly greater number and variety of channels to engage with organizations – everything from phone, email and the corporate website to social media, text messaging, chat, mobile apps and video. This is forcing organizations to change in order not to miss out on business opportunities.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Customer Service, Contact Center, Omnichannel, Robotic Process Automation, Customer Journey Maps, Billing and Recurring Revenue, Workforce Optimization
Technology Improves Customer Experience: Does Yours?
Our benchmark research into next-generation customer engagement finds that three-quarters (77%) of organizations participating in the research said it is very important to improve the way they engage with customers. The two main drivers behind this are improving the customer experience (cited by 74%) and improving performance of the customer service organization (70%). This is important because most companies said their customers have good experiences, but only one-third said that experience is excellent.
Topics: Mobile, Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Cloud Computing, Collaboration, Customer Service, Internet of Things, Contact Center, Digital Technology, Omnichannel, Customer Journey Maps, Billing and Recurring Revenue
ResponseTek Makes Customer Experience Management Simple and Sophisticated
ResponseTek is a software vendor whose platform and services help companies collect and act on feedback from their customers. It supports a closed-loop process that collects feedback, analyzes it, provides customizable reports and analysis dependent on the user, and most importantly enables taking action based on the information. This allows companies to understand product and service issues, customer sentiment, intentions, and likely behaviors, and where necessary ensures the most appropriate actions are taken.
Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Customer Performance, Analytics, Business Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Text Analytics
Calabrio Supercharges Workforce Optimization with Analytics for Customer Engagement
Calabrio is a vendor of workforce optimization software whose core product is Calabrio ONE. It includes the common workforce optimization applications: call recording, quality management, workforce management and analytics. The company is rated Hot in our 2015 Workforce Optimization Value Index, and its product suite is the highest rated in the Usability category. Since our assessment, each of the modules has undergone upgrades, Calabrio has introduced more cloud-based services, and its analytics has undergone extensive changes to support customer experience management. The aim of these enhancements is to provide a single view of the customer that includes customer interactions across all channels, help companies streamline processes through workflow and automation, support more users and provide more deployment options. The Calabrio ONE Cloud Edition supports the full suite in a multitenant environment and is scalable to support companies of all sizes. It also enables users to store data, such as call recordings, in cloud-based services such as Amazon Web Services. I have reviewed these enhancements and note the most significant changes.
Topics: Big Data, Customer Feedback Management, Customer Performance, Business Analytics, Cloud Computing, Call Center
NICE Delivers Customer Journey Maps for Customer Engagement
Through a continuing program of acquisitions and internal development, NICE Systems has transitioned from being a vendor of workforce optimization systems to one focused on aspects of the customer experience, notably voice of the customer (VOC), customer engagement analytics and customer journey mapping. It is also moving to cloud-based services from products installed on customers’ premises and is taking a business-solution approach (providing previously integrated and configured products that address specific business issues) rather than general-purpose products. All of these changes are evident in its latest services, which link VOC, real-time journey mapping and predictive analytics to address common customer service and engagement issues. The foundation for these packages are products I have previously covered – Fizzback for multichannel customer surveying and feedback analysis and Causata for a big data analytics platform that includes predictive analytics capabilities – along with its own customer engagement analytics platform, which can link customer data from disparate sources. The result, for example, is that journey maps can show all interactions on all channels a customer uses to try to resolve issues, including the customer sentiment at each touch point and the outcome of the journey.
Topics: Big Data, Customer Feedback Management, Customer Performance, Business Analytics, Business Collaboration, Cloud Computing, Call Center
Corvisa Brings New Generation of Contact Center Communications in the Cloud
Contact centers in the cloud are increasingly popular alternatives to managing them on a company’s own premises. Running many business applications on hardware owned and managed by a third party is relatively straightforward and requires less support internally. Also the payment model changes from a license to a recurring fee, and typically the vendor provides updates as part of the fee. The challenge with placing a contact center in the cloud is that it is not a single system or even a collection of similar systems. The center includes infrastructure systems to manage communication channels, a network to support telephone extensions and access points to business applications, specialist systems such as routing and IVR, business applications (such as ERP, CRM and workforce management) and performance management and analytics systems; increasingly the contact center has to support mobile and social media as well. Moving all these to the cloud in an integrated manner is a complex task.
Topics: Big Data, Customer Feedback Management, Customer Performance, Business Collaboration, Cloud Computing, Call Center
Salesforce Helps Companies Innovate in Customer Management
In recent years I have tracked Salesforce, its product development and its announcements. Despite having grown into a giant corporation, it continues to introduce innovations. At a recent analyst day in the U.K., I followed up on the company’s overall direction, some key product developments and a new service to help drive adoption of innovative customer-related processes. Salesforce’s primary aim is to help organizations market and sell to, service, engage with and know their customers through innovative processes and cloud-based systems. To support these efforts, it has made significant updates to its marketing, service community and analytics clouds. For example, it has added Marketing Cloud Predictive Decisions to its Marketing Cloud. The new module enables marketers to apply analytics to a range of customer-related data to gain a more complete picture of their customers and from it build more personalized marketing messages and campaigns. Business users can set up their own analytics, determine next best actions and deliver marketing messages and dialogues through multiple communication channels. Predictive Decisions helps transform marketing’s approach from general one-off marketing campaigns to one-to-one, personalized dialogues through channels that individuals prefer. On another front, the company has enhanced its Service Cloud with Service Cloud Intelligence Engine. This product also runs across multiple channels. It dynamically pushes work to the right employee, based on the skill set required to handle the task and the history of the request, and at the same time it distributes and manages the workload across employees who handle customer interactions. Analytics here provides an enhanced view of customers so that dialogues concerning a case can be viewed and preserved across all channels. In other developments Community Cloud has been enhanced to expand the range of expert groups to engage, deliver customer self-service as part of a community, and do this on smart mobile devices. Analytics Cloud now can ingest larger volumes and types of customer-related data, including interaction data. It enables both business users and analysts to use a wider range of data sources to find answers to specific questions, also on mobile devices. It also includes capabilities for developers to build specific analytic apps for targeted business uses. My colleague has assessed the product in Salesforce Analytics Cloud Delivers Wave of Elegant Dashboards. All of these developments and existing capabilities have been brought together on what Salesforce calls the Customer Success Platform. It is built on the company’s cloud infrastructure, and as well as its own cloud-based apps, it includes all the partner apps available on the Salesforce app store. A “scalable metadata platform” glues everything together. It includes data and objects, a mobile user interface, collaboration tools, analytics, workflow and identity management. Enhancements enable developers to build mobile apps for both customers and employees more easily. In the pipeline are capabilities to use wearable technology to collect and display data. Salesforce’s efforts to help companies “do business in a new way” reflect challenges that many companies encounter in trying to serve customers more effectively. Our research into next-generation customer engagement shows that the three most common challenges are integrating systems (49%), managing communication challenges in a unified way and not as silos (47%) and inconsistent responses and information in customer interactions (33%). My research and customer case studies lead me to conclude that changing processes is the biggest challenge. To meet this challenge Salesforce has introduced a consulting program called Ignite. This collaborative consulting service aims to help organizations design their customer management vision and execution roadmap. It is comprised of four steps: discovery, inspiration and design, prototyping and iteration and doing it. Discovery uses joint workshops and interviews with key stakeholders to introduce the program and its objectives, gain buy-in and discover the current state. Inspiration and design is another series of joint workshops to develop ideas and envision the desired state. Prototyping and iteration uses the new ideas to develop prototypes of how the new vision can be delivered. The “do” step presents and demonstrates the prototypes to stakeholders and develops a value statement and an implementation plan so the business can decide the way forward. Overall this seems to be a fairly typical consulting service that focuses on customer engagement and associated processes, systems and metrics, but it is deliberately collaborative and tailored around Salesforce applications and tools. The main innovation I see is that it is designed to uncover new ways of working that organizations may not have considered. Business, especially around customer engagement, is changing more rapidly than ever, and it is hard for organizations to keep up with technology developments and learn how to gain maximum benefit from them. Ignite should help Salesforce customers identify how they can improve customer management and introduce new approaches to keep ahead of the competition. The Salesforce Customer Success Platform is a comprehensive package of systems that focus on customer management processes, underpinned by improved integration, analytics and collaborative capabilities. Our research consistently finds that most companies are still relatively immature in the use of people, processes, information and systems for customer management. I therefore recommend companies seeking to survive and prosper in today’s highly competitive markets assess how the Salesforce products and service can help. Regards, Richard J. Snow VP & Research Director
Topics: Big Data, Customer Feedback Management, Customer Performance, Business Analytics, Business Collaboration, Cloud Computing, Call Center
Genesys Advances Omnichannel Experience for Customer Engagement
I recently wrote about six technologies that can help companies deliver experiences that live up to their customers’ expectations: an integrated multichannel infrastructure, analytics, a smart agent desktop, business applications such as workforce management and knowledge management, collaboration and mobile apps. They should be closely integrated to simplify system administration, to support processes that have been disconnected because they required multiple systems and to be easy to use. In my experience few vendors provide systems that meet all these goals so I was keen to learn about the latest version of the Genesys Customer Experience Platform which was the recipient of 2014 Ventana Research T Technology Innovation award for contact center in its works with IBM Watson Engagement Advisor.
Topics: Big Data, Customer Feedback Management, Customer Performance, Business Analytics, Cloud Computing, Call Center
Verint Introduces Gamification Software to Motivate and Engage the Workforce
Some new words can give the wrong impression. Take “gamification,” for example. It may sound as if employers are inviting their employees to play games just for fun, when actually this is a technique increasingly being used to recognize achievement and thus help improve performance. Several workforce management software vendors have introduced gamification systems that support setting targets, measuring achievement against those targets, rewarding players who meet their target and displaying winners who do best at meeting or exceeding their targets. This concept is not entirely new in contact centers, which long have used notice boards that recognize achievements such as “agent of the month,” which is also an award to the employee best meeting his or her targets. A new product called Verint Gamification supports similar capabilities but visualizes them in more engaging ways that link meeting personal goals with enterprise objectives.
Topics: Big Data, Customer Feedback Management, Customer Performance, Cloud Computing, Call Center
In the Digital Economy, the Customer Experience Is Critical
Advertising and marketers tell us we now live in a “digital economy.” That implies the economy is based on and depends on digital technologies. It certainly is true that many consumers, especially younger ones, have changed the ways they interact with each other and businesses; they are now more likely to use digital channels of communication, particularly email, websites, text messaging, instant messaging and social media. In this digital world, where customers can search globally for products and services and change suppliers instantly, it is critical for companies to focus on the customer experience.
Topics: Big Data, Customer Feedback Management, Customer Performance, Cloud Computing, Call Center
New Research to Examine Best Practices in Customer Interactions and Experience with Cloud Computing
In 2013, Ventana Research carried out groundbreaking benchmark research into contact centers in the cloud. It revealed that customer pressures have forced companies to support an increasing variety of channels of interaction. This research investigated the systems companies were using then or were planning to use, particularly cloud computing, to manage these channels. The research uncovered three major challenges: integration of systems, channels of communication supported as silos and customers receiving inconsistent information across channels. We found that to overcome these challenges, companies most often were planning to improve agent training and coaching (73%), to deploy contact center applications such as CRM and workforce optimization in the cloud (63%) and to adopt communications management systems in the cloud (44%). Further benchmark research shows continuing changes. The number of channels customers use continues to grow, and in particular more customers prefer to use digital self-service channels such as chat, visual IVR, voice-activated virtual agents and social forums. On the business side more employees across the organization have become involved in handling interactions, including finance and HR departments, mobile customer service and home agents. As channels proliferate more companies have realized that they need a single, comprehensive view of their customers that includes a history of their interactions, the channels they used for those interactions and likely actions they might take as a result of the outcomes of those interactions.
Topics: Big Data, Customer Feedback Management, Customer Performance, Cloud Computing, Call Center
In covering Verint for several years I have watched it go from selling call recording systems to adding workforce optimization software, analytics, and support for multiple channels of interaction with customers. Its latest product, Customer Engagement Optimization, increases support for customer engagement and managing the customer experience. Verint has achieved this expansion through a combination of acquisitions and in-house development. Its acquisition of Kana enabled it to go from supporting workforce optimization with some analytics to supporting multiple channels of customer engagement, workforce optimization and advanced analytics. I have written several times that this approach has its advantages – acquisitions shorten the time it takes to add new capabilities and extend the scope of the products – and disadvantages – it creates challenges in producing fully integrated products and developing a common user interface so the products are easier to use. During a recent briefing I saw that the company continues its efforts to advance in all these areas.
Topics: Big Data, Customer Feedback Management, Customer Performance, Business Analytics, Cloud Computing, Call Center
Enghouse Interactive Expands Portfolio of Contact Center Systems
Enghouse Interactive is one of three divisions of Enghouse Systems, a publicly traded Canadian company founded in 1984. The other two divisions provide network technology to telecommunications providers and applications for public and private transportation companies; Enghouse Interactive owns the company’s three contact center systems. The corporate group has a history of growth – it now has a market capitalization of more than US$1 billion - achieved both organically and through an aggressive acquisition policy. The same applies to Enghouse Interactive. Its three core products are built on three acquisitions – Syntellect in 2002, CosmoCom in 2011 and Zeacom in 2012. Each of these has been enhanced by a combination of in-house development and integration with other acquired products. The three products are maintained and developed independently, something Enghouse Interactive says will continue for the foreseeable future. However it is working to integrate its latest acquisitions with all three products, so each will gain new capabilities.
Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Customer Performance, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Tracking the Customer Journey Is Critical for Engagement
Competition for customers is more intense today than ever before, and companies struggle to differentiate themselves from the competition. Our research repeatedly finds that customer experience is a key differentiator. Our research into next-generation customer engagement said the impetus for improving engagement is to improve the customer experience in almost three quarters (74%) of participants. One increasingly popular way to do this is to use customer journey maps, which show how companies plan to engage with customers: at what times, through which channels, at which touch points and with which business units or using which self-service technologies. Our benchmark research into customer relationship maturity shows that two-thirds (67%) of very customer-focused companies use customer journey maps. The top four uses are to develop more customer-focused employee training (by 78%), personalize customer experiences (76%), enhance customer experience processes (73%) and drill down on customer experience processes to the customer segment level (73%). Typically producing these maps has been a manual process, perhaps using process mapping tools; in these cases few companies were able to capture and visualize actual journeys. However, as more business units engage with customers and companies deploy multiple channels of engagement – including self-service – improving the customer experience and mapping the customer journey become more complex, and to keep up companies have to invest in processes and tools that help them automate the process of producing maps and capture data about and visualize actual customer journeys.
Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Customer Performance, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Verint Advances Feedback Management to Improve Customer Experience
Verint entered the enterprise market for customer feedback management when it acquired Vovici in August 2011. Since then the Vovici products have been integrated into Verint’s Customer Engagement Optimization suite, which includes products originally developed by Verint and Kana, which it also acquired. The current suite supports a range of capabilities that Verint groups into three categories: customer analytics (various types of analytics and Enterprise Feedback Management), customer engagement (which is largely the Kana products that support the agent desktop, email, chat and co-browsing, knowledge and case management, and Web-based self-service) and workforce optimization (quality monitoring, workforce management, desktop and process analytics, performance management and e-learning and coaching). Having this broad array of capabilities allows Verint to support a closed-loop approach to customer feedback and connect it to the processes with which to identify issues raised through feedback and take action to improve (through process change, training and coaching, for example).
Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Customer Performance, Analytics, Business Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, Text Analytics
Genesys is best known as a provider of contact center management systems and has long provided computer/telephony integration (CTI) and single-queue call routing systems. Over the past few years it has had changes of ownership and now is a stand-alone company focused on providing systems to improve the customer experience. To do this its combines contact center infrastructure systems and a suite of workforce optimization applications. We included the suite in our 2015 Workforce Optimization Value Index, which evaluates workforce optimization vendors against the requirements of companies as found in our benchmark research into next-generation workforce optimization. Genesys is rated a Warm vendor in the Value Index as a consequence of not actively participating with our process forcing us to base the evaluation on publicly available information including product documentation, presentation and briefings, which although comprehensive does not address all aspects included in the Value Index. During a recent briefing I learned more about Genesys’ software and services that I can provide more depth on some key areas of their workforce optimization offering.
Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
I recently wrote about customer experience lessons I learned during 2014 and the technologies required to deliver EPIC experiences. Both of these analyses focus on the people, processes, information and technologies required to improve the customer experience at every touch point, and these themes will also be at the heart of our customer technology research agenda for 2015.
Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Technology Requirements for Providing an EPIC Customer Experience
Customer Experience was one of the subjects most talked and written about during 2014, and I expect this to continue in 2015. Many observers and analysts, including me, believe it can be the difference between companies succeeding or going out of business. Yet debate continues to define what customer experience is and how to manage it. Some think the best tools are “voice of the customer” information and systems that enable companies to track and understand customer sentiments and likely actions. Others advocate customer or interaction analytics that provide a complete view of the customer. For others it is all about social media and how it changes the customer relationship, and many diehards still insist customer relationship management (CRM) systems are the key. Indeed, as it is with CRM, ask 100 people what it is and you may get 100 different answers. I go back to basics. For me the customer experience is how customers feel and act during and after any engagement with a company. Of course, there are many ways of interacting these days, whether it is seeing an advertisement, receiving an email, talking to an agent in a call center, having a service engineer visit your house, looking for answers on a company’s website, trying to navigate through IVR menus, using the company’s mobile app or watching a YouTube video. These all impact customers’ perceptions of a company, affect their emotions and drive their reactions. In all, the customer experience is determined by the combination of how employees behave, how well processes work, how complete the information about the customer is and the impacts of diverse types of systems, all of these at any point of engagement throughout the customer life cycle.
Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Workforce Optimization Software Vendor Ratings in Perspective
As with many other research topics, Ventana Research investigates workforce optimization in two ways. Our benchmark research into next-generation workforce optimization assesses how companies use workforce optimization systems now and intend to in the future, while our Workforce Optimization Value Index evaluates how well workforce optimization products and vendors match buyers’ needs. In our newly released 2015 Workforce Optimization Value Index the top vendors are Verint and VPI, both rated Hot, followed by five other Hot vendors: NICE Systems, OnviSource, Aspect, Calabrio and Envision. The overall scores place all seven Hot vendors within four percentage points of each other, and only a further three percentage points separate the three Warm vendors – Genesys, KnoahSoft and Interactive Intelligence. The closeness of the scoring suggests that this is a mature market and in most respects vendors support much the same features.
Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Customer Engagement Analytics Getting Simpler with Verint
Verint is a well-established vendor of workforce optimization systems. It recently acquired KANA Software, as I discussed, which enabled Verint to move further into the customer engagement market. Now Verint has combined the two companies’ range of analytics products to create Verint Engagement Analytics.
Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
When Salesforce.com began in 1999 its stated intent was “to reinvent CRM in the cloud.” In 15 years, the company has achieved much more than that, having a major impact on the way IT systems are delivered: Large numbers of vendors have followed its example to provide cloud-based systems. It added a platform as a cloud – a software development environment in the cloud – to its portfolio, introduced an apps store where many vendors sell their products and services, moved into social and mobile computing, and expanded CRM in the cloud to marketing, sales and service clouds. And it continues to innovate in the fast-changing business software market.
Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Operational Performance, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Lessons Learned about the Customer Experience in 2014
During this year talk has been widespread about the customer experience, which is good. What is not so good is that, according to my benchmark research into next-generation customer engagement, most companies still struggle to deliver satisfying experiences. However, the research and my discussions with users and vendors lead to some clear conclusions:
Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Interactive Intelligence Innovates in the Cloud for Contact Centers
Interactive Intelligence is a well-established supplier of contact center systems and just celebrated its 20th anniversary. Customer Interaction Center (CIC) is its on-premises product, which provides integrated management of multiple communication channels and supports a high degree of customization. Communications as a Service (CaaS) is a virtual private cloud (for single tenants) version of CIC and as such offers less potential for customization. Recently Interactive Intelligence released PureCloud, an innovative cloud-based service that is available through Amazon Web Services.
Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
IBM Enables Business Innovation from 21st Century Technology
Those of us who have been in the technology industry for many years remember the phrase “No one ever got fired for buying IBM.” Then IBM was both a hardware and a system software vendor, and most IT managers new that hardly anyone would question a decision to go with IBM. These days IBM has done extensive marketing to make itself known for everything “smart” – planets, cities, commerce and of course technology. While its website suggests it offers a limited number of software products, in fact IBM is one of the largest providers software and is committed to innovation. David Stokes, CEO of the U.K. and Ireland division, kicked off its recent U.K. BusinessConnect event by reminding the audience that IBM is driven by three fundamentals – data, the cloud and security.
Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
New Generation of Recurring Revenue and Billing Inspired from Cloud Computing
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.
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
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
Confirmit Advances Social Analytics for Voice of Customer
The last time I reviewed Confirmit it had just acquired CustomerSat and was re-engineering its products to support a broader approach to voice of the customer (VOC), which Ventana Research defines as a complete view of customer interactions, customer sentiments after interactions and the outcomes of those interactions. During my latest briefing, I found out that the new architecture will be available in version 18 of the product, which Confirmit recently announced as generally available. Confirmit also recently announced the acquisition of Integrasco for social and text analytics and says it intends to have those products at least partly integrated into the core product during the second quarter of this year.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics, Unified Communications
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
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
Companies Need to Reconcile Customer Interaction Priorities
Today companies handle an increasing number of customer interactions and they do this through a greater number and variety of communication channels, and by using more employees that are dispersed throughout the organization. Managing the pool of agents in a contact center has always proved a complex task and this is made more complex as interactions are now handled by most lines of business (marketing, sales, customer service, finance, HR, home workers and mobile workers). To do this many companies have deployed what collectively is called workforce optimization (WFO) systems: interaction recording, quality monitoring, workforce management, training and coaching, compensation management and reporting/analytics. My benchmark research into Next Generation WFO set out to discover what people, process, information and systems companies are using, the benefits they have gained, future plans to change and what barriers are holding back those changes.
Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Operational Performance, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
IBM Social Business Bets on Key Application and Technologies
I recently attended an IBM event about its new social business products and services. I was skeptical at first: I have seen another vendor’s “social enterprise” come and go, and although companies need to address customer use of social media, I don’t think “social” is the path businesses should take; it is more to do with collaboration. However, I quickly learned that IBM sees things rather differently. Its starting point is the need for companies to make their workforces smarter – something I agree with. Employees are the heart of a company; for example, according to my research into customer service and the agent desktop, not only do happy, empowered employees twice as often deliver superior customer experiences, but they also meet customer-related targets more often, and deliver or retain more satisfied and more loyal customers who spend more.
Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Operational Performance, Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Financial Performance, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Two years ago I wrote about communications in the cloud taking over the annual U.K. contact center event Call Centre Expo. Now that dominance is almost complete. At one point at this year’s event I was standing at the center of the show floor and without taking a step I spotted 11 vendors all offering some form of communications in the cloud. This term includes all the systems that manage the various communication channels companies now support for managing customer interactions: telephone, email, fax, postal mail, corporate websites, chat, mobile text messaging, video and social media. Not long ago these channels would have been bundled into the contact center infrastructure and typically managed by disparate, on-premises, often proprietary systems. Now, as these systems reach the ends of their lives, companies are looking for more cost-effective and integrated ways to support multiple communication channels and increasingly are moving to cloud-based systems, which my last benchmark research on the contact center in the cloud identified as the third-most common response to the challenges of interaction-handling.
Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Verint Utilizes Voice and Feedback to Advance Employees and Customer Satisfaction
Verint has been a major player in the workforce optimization and voice of the customer (VoC) feedback markets for several years. As I noted in a previous analysis, its major challenges stem from the fact that its product portfolio has come about largely through a series of acquisitions, which has led to integration and user interface issues. Verint has been steadily addressing these by taking an information-driven approach and adding extensive analytics capabilities to the overall portfolio. Recently it has begun developing what it calls “business impact solutions,” the first of which I have written about. These offerings combine a number of individual products into predefined, prepackaged bundles that address some of the common business issues companies face, including personalized guidance of agents on the next best action, call avoidance and cost to serve. During recent briefings I learned that Verint is continuing down this path with two new releases.
Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Text Analytics
ResponseTek is a well-established player in the marketing and customer feedback markets. It has four products that cover market research, customer feedback, knowledge management and media monitoring, that enable companies to capture comments made on public sites, typically social media-based. Its customer feedback products support creation, collection and analysis of feedback through multiple channels, as I have noted, including mobile devices. ResponseTek has now taken its support for mobile one step further with the recent announcement of a mobile app.
Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Text Analytics
The last time I was briefed by Confirmit it had just acquired CustomerSat and, in addition to undergoing a number of internal developments, was transitioning from supporting market research, customer and employee feedback to focusing more on voice of the customer (VOC). One of its key differentiators has been its ability to combine market research, customer and employee feedback to close the loop and produce VOC reports and analysis that include all three perspectives. Confirmit added the ability to collect feedback throughunstructured “conversations” on smart mobile devices, in recognition that these devices are being used more frequently by consumers and therefore such capabilities increase the likelihood of consumers responding to requests to provide feedback. Although my research on customer feedback management shows this to be an important, growing requirement, the Confirmit products continue to support the creation and analysis of surveys as a core way of collecting and understanding customer feedback.
Topics: Sales Performance, Customer Analytics, Customer Experience, Customer Feedback Management, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, CRM, Text Analytics, Confirmit
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
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
Astute Solutions Supports Integrated Approach to CRM
Like all analysts, I have a series of classifications to help group together vendors with similar capabilities. My challenge is to create categories that align with most users’ expectations so I don’t confuse readers when I define which category a vendor falls into. My “big five” are WFO or agent performance management (quality monitoring, workforce management, training and coaching, remuneration, and agent-related analytics); contact center infrastructure, including cloud-based systems (multichannel interaction management, routing, CTI, and rerecording); CRM (marketing, sales and customer service); customer experience management (agent desktop, self-service, customer feedback management, knowledge management); and contact center and customer analytics (transactional, speech, text, event, process, multichannel, predictive and big data). Occasionally a vendor comes along that defies these classifications. Astute Solutions is one such. It describes itself as providing “best-of-breed CRM Customer Service, Social CRM, Contact Center, IP Communications, Knowledge Management, Mobile, and Self-Service solutions specifically designed for enabling customer-centric business strategies” – quite a mouthful.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Interactive Intelligence, Unified Communications
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
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
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
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
Linking Customer Feedback and Business Benefits
Many organizations collect customer feedback, but my recent research into customer feedback management shows that most have yet to take advantage of modern techniques. The research shows that companies on average use approximately four methods. The most popular remain email and online surveys, listening to call recordings and outbound phone calls. Newer techniques such as reviewing social media posts, social media forums, mobile apps and mobile text-based conversations remain the domain of early adopters and innovative companies. The same can be said of how companies analyze customer feedback, with by far the most common method being manual. Only the most mature companies having adopted specialized analytics tools that automate the process, thus making it more efficient, letting them use bigger samples of customer input, and making the outputs more reliable and consistent.
Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
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
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
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
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
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
Calabrio Provides Integrated Workforce Optimization
Calabrio offers a suite of workforce optimization (WFO) products used in call centers that includes call recording, quality recording, workforce management and performance management, and it also offers a purpose-built speech analytics product. From a briefing and demonstration, I confirmed that the core WFO products support the capabilities that our research shows companies expect of these products. Ventana Research defines agent performance management (APM) as WFO plus capture of all forms of customer interaction, agent training and coaching and agent compensation management, as well as all forms of contact center-related analytics such as text, voice and desktop. The recent Ventana Research APM Value Index shows that this market is highly competitive, as all the top five vendors scored within one percentage point of each other.
Topics: Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Calabrio, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, 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
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
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
Tello Launches Innovative Method To Collect Customer Feedback
The various media, including the social form, insist that the customer is king; exaggeration or not, it is true that understanding their customers is of greater importance to companies than ever before. The newest way to understand customers is to capture all the comments they make about a company, analyze them and produce reports containing information such as likes and dislikes, hot issues, trends and sentiment analyses – many people today call this collection the voice of the customer (VOC). It can help companies with a range of tasks: refining customer-facing strategies, improving products and services, streamlining front- and back-office business processes, focusing training and supporting front-line operational decisions such as how to handle customer interactions.
Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Voice of the Customer, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, CRM
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
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
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
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
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
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
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
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
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