I am happy to share some insight on AWS drawn from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for contact centers in the cloud. We evaluated AWS and 12 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on contact centers in the cloud.
AWS Lags in Connecting Contact Centers in Cloud Computing
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Collaboration, Customer Service, Contact Center, Workforce Optimization
8x8 Brings Good to Contact Center in the Cloud Market
I am happy to share some insight on 8x8 drawn from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for contact centers in the cloud. We evaluated 8x8 and 12 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on contact centers in the cloud. .
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Collaboration, Customer Service, Contact Center, Workforce Optimization
IFS brings Focus to CX with Contact Center in the Cloud
I am happy to share some insight on IFS-mplsystems drawn from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for contact centers in the cloud. We evaluated IFS-mplsystems and 12 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on contact centers in the cloud.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Collaboration, Customer Service, Contact Center, Workforce Optimization
Altitude Brings Simplification to Customer Engagement for Contact Centers
I am happy to share some insight on Altitude drawn from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for contact centers in the cloud. We evaluated Altitude and 12 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on contact centers in the cloud.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Collaboration, Customer Service, Contact Center, Workforce Optimization
Five9 Brings Balanced Value to Contact Center in the Cloud
I am happy to share some insight on Five9 drawn from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for contact centers in the cloud. We evaluated Five9 and 12 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on contact centers in the cloud.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Collaboration, Customer Service, Contact Center, Workforce Optimization
I am happy to share some insight on RingCentral drawn from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for contact centers in the cloud. We evaluated RingCentral and 12 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on contact centers in the cloud.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Collaboration, Customer Service, Contact Center, Workforce Optimization
Content Guru Brings Manageable Contact Center in the Cloud
I am happy to share some insight on Content Guru drawn from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for contact centers in the cloud. We evaluated Content Guru and 12 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on contact centers in the cloud.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Collaboration, Customer Service, Contact Center, Workforce Optimization
NewVoiceMedia Demonstrates its Validation in Contact Center in the Cloud
I am happy to share some insight on NewVoiceMedia drawn from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for contact centers in the cloud. We evaluated NewVoiceMedia and 12 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on contact centers in the cloud.
Topics: Customer Analytics, Customer Engagement, Customer Experience, NewVoicemedia, Cloud Computing, Collaboration, Customer Service, Contact Center, Value Index, Workforce Optimization
Serenova Simplifies Contact Center in the Cloud for Business
I am happy to share some insight on Serenova drawn from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for contact centers in the cloud. We evaluated Serenova and 12 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on contact centers in the cloud.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Collaboration, Customer Service, Contact Center, Workforce Optimization
Genesys Brings a Pure Focus to Contact Center in the Cloud
I am happy to share some insight on Genesys drawn from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for contact centers in the cloud. We evaluated Genesys and 12 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on contact centers in the cloud.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Collaboration, Customer Service, Contact Center, Workforce Optimization
Cisco Unified Contact Centers in Cloud Computing with BroadSoft
I am happy to share some insight on BroadSoft drawn from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for contact centers in the cloud. We evaluated BroadSoft and 12 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on contact centers in the cloud.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Collaboration, Customer Service, Contact Center, Workforce Optimization
Aspect Brings Great TCO and ROI for Contact Centers in the Cloud
I am happy to share some insight on Aspect Software drawn from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for contact centers in the cloud. We evaluated Aspect Software and 12 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on contact centers in the cloud.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Collaboration, Customer Service, Contact Center, Workforce Optimization
NICE inContact Leads the Pack in Contact Center in Cloud Value Index
I am happy to share some insight on NICE inContact drawn from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for contact centers in the cloud. We evaluated NICE inContact and 12 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on contact centers in the cloud.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Collaboration, Customer Service, Contact Center, Workforce Optimization
2018 Value Index for Contact Center in the Cloud Vendor Ratings
I am happy to share some insights gleaned from our latest research. The Ventana Research Value Index: Contact Center in the Cloud in 2018 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our benchmark research, we utilize a structured research methodology with evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal to vendors in contact centers in the cloud. Using this methodology, we evaluated vendor submissions in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). This research-based index is the first such industry undertaking to assess the full business value of software designed for enabling a contact center in the cloud. You can learn more about our Value Index as an effective vendor selection and RFI/RFP tool at https://www.ventanaresearch.com/value-indexes/inclusion.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Collaboration, Customer Service, Contact Center, Workforce Optimization
Supercharging Customer Experiences Through Contact Centers in the Cloud
An intensified focus on the customer is driving the trend toward enabling omnichannel support in contact centers, our benchmark research on contact centers in the cloud has found. In my last analyst perspective I highlighted some key benefits of a contact center in the cloud. In this perspective, I want to elaborate on the finding that only about one-third (35%) of organizations participating in our benchmark research said their customers are satisfied with the way interactions are handled. Far more (47%) said their customers are only somewhat satisfied, which may not be good enough in a fiercely competitive marketplace. Not surprisingly, improving the customer's experience is the most common motivator (cited by 82%) for change in the technology being used.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Collaboration, Customer Service, Contact Center, Workforce Optimization
Embracing New Channels Through Contact Center and Cloud Computing
To remain competitive, organizations must deliver the best possible customer experience through all channels of engagement. One technological approach to accomplish this is to enable a contact center to handle all the channels through which customer interactions with the organization are routed and acted upon. The contact center continues to need to handle telephony, of course, as this remains a channel that carries a significant portion of interactions. But new channels continue to be added to the interaction mix. With the advent of cloud computing, enabling systems and technologies to be managed on the Internet rather than on the premises of an organization, contact centers can be established and interaction channels can be added and configured far more easily.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Collaboration, Customer Service, Contact Center, Workforce Optimization
We now are well beyond the year depicted in 2001: A Space Odyssey, a cinematic perspective on the future of artificial intelligence in which HAL 9000, a computer, is able to simulate human behavior and control machines. Anyone reviewing the past two years of marketing around AI in the business technology industry can be forgiven for believing that we have arrived at the futuristic state Stanley Kubrick imagined. We have not.
Topics: Big Data, Data Science, Mobile, Customer Analytics, Customer Engagement, Customer Experience, Machine Learning, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Customer Service, Data Governance, Data Integration, Data Preparation, Internet of Things, Contact Center, Information Optimization, Digital Technology, Machine Learning and Cognitive Computing, Cybersecurity, Billing and Recurring Revenue, Workforce Optimization, collaboration for business
We are have arrived at the May 25, 2018 date when the European Union’s General Data Privacy Regulations (GDPR) become enforceable, following what has been a two-year transition period. Companies were given this time to put in place reasonable measures and the systems necessary to support the legislation’s wide-ranging personal data privacy requirements, which apply to any organization with more than 250 employees that serves EU citizens. While this regulation will apply in the EU, it has implications for any organization in the world that provides services involving the personal data of any EU citizen.
Topics: Big Data, Data Science, Mobile, Sales, Customer Analytics, Customer Engagement, Customer Experience, Marketing, Analytics, Business Intelligence, Cloud Computing, Collaboration, Data Governance, Data Integration, Data Preparation, Internet of Things, Contact Center, Digital Technology, Digital Marketing, Digital Commerce, Cybersecurity, Billing and Recurring Revenue, collaboration for business, mobile marketing
Beyond Digital Transformation: Effective Technology Innovation in 2018
Advancing the potential of any business requires continuous improvement in the processes and technology that support it. Many companies have embraced attempts at a digital transformation, and it’s become a goal to which organizational resources and budgets have been dedicated around the globe.
Topics: Big Data, Data Science, Mobile, Sales, Customer Analytics, Customer Engagement, Customer Experience, Human Capital Management, Machine Learning, Marketing, Marketing Performance Management, Mobile Technology, Office of Finance, Wearable Computing, Analytics, Business Intelligence, Cloud Computing, Collaboration, Customer Service, Data Governance, Data Integration, Data Preparation, Internet of Things, Contact Center, Information Optimization, Product Information Management, Digital Technology, Digital Marketing, Digital Commerce, Operations & Supply Chain, Machine Learning and Cognitive Computing, Pricing and Promotion Management, Cybersecurity, Billing and Recurring Revenue, Workforce Optimization, collaboration for business, mobile marketing
NewVoiceMedia Invests for Contact Center in the Cloud Success
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.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Feedback Management, Customer Service, Contact Center, Omnichannel, Customer Journey Maps, Workforce Optimization
NICE Brings Employee Engagement to Enhance Customer Experience
2017 has been a year of major changes in the contact center market. There have been more acquisitions than in any year I can remember. There have also been more partnerships announced, which have at least in part been enabled by the advance of cloud-based systems. The move to the cloud has continued apace, along with the addition of new capabilities that allow employees to access systems from mobile devices. Vendors have of course announced many updates to existing systems, as well as exciting new developments around technologies such as video, collaboration, artificial intelligence, machine learning, predictive analysis and bots. Moreover, several new vendors have popped out of the woodwork with innovative new products.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Service, Contact Center, Omnichannel, Workforce Optimization
A few years ago, we carried out benchmark research into customer service best practices. A key element of the research was to compare the approaches of the nearly three-fifths (58%) of organizations that described themselves as very customer-focused and the remaining two-fifths (42%) that are not so focused on their customers.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Service, Contact Center, Customer Journey Maps, Digital transformation
Zuora Maximizes Potential of Subscription Billing Portfolio
At the recent Zuora Subscribed17 London event, Founder and CEO Tien Tzuo took about 10 minutes to demonstrate that over the last 12 months the subscription economy has grown considerably and assert that Zuora is committed to supporting organizations that make the transition to such a business model. The numbers Tzuo presented were impressive but more striking still was the understanding that emerged during the event and at a lunch for analysts of the nature of the transition companies are going through: software companies moving from on-premises to cloud-based models, a major industrial vehicles-for-hire company moving from renting out machines to providing subscription-based services so the organization hiring the vehicles knows exactly what the machines are up to and how to get best value out of them, a car manufacturer moving to renting cars on a subscription basis based on miles driven, a utility company increasingly automating people’s homes, and a real estate firm providing access to legal advice and mortgage experts as needed.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Billing and Recurring Revenue, Digital transformation
Verint Desktop Provides Omnichannel Customer Experience
A lot is being written and said about the omnichannel customer experience and the role contact center agents play in providing such experiences. From the customer’s perspective, I think it boils down to four things: that the interaction is easy, personal to them, within the context of the relationship and previous interactions, and consistent no matter with whom or what technology they interact. From the agent or user’s perspective, it should be easy to find the information needed to resolve the interaction to the customer’s satisfaction, and he or she must be empowered to resolve any issues that arise.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Service, Contact Center, Omnichannel, Robotic Process Automation, Workforce Optimization
Our benchmark research into next-generation customer engagement shows the telephone is far from dead as a channel of customer engagement. Although the research shows other channels are likely to grow more quickly over the next two years, nearly half (46%) of organizations said they expect to see significant or some growth in the volume of calls they need to handle. So, as well as supporting additional digital channels of engagement, organizations must ensure the way they handle calls meets customer expectations. Primarily this means that there are no delays, voice quality is good and customers get consistent responses no matter who they engage with.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Service, Contact Center, Omnichannel, Workforce Optimization, Revenue
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
Amazon Web Services Introduces Turmoil to Contact Centers
I have been involved in the call center market for around 30 years, first as a consultant building call centers for organizations and later as an analyst covering developments in organizations’ customer engagement best practices and vendor product developments. Looking back over the first 20, maybe even 25 years, it has been a slowly developing market. Early call centers essentially included an on-premises ACD or PBX, call routing software, computer telephony integration (CTI) software that could identify the caller and display a page from a selected system – typically CRM – on the screen of the agent handling the call. For the most part, agents were left to their own devices to handle the call, although some organizations developed scripts. Such centers were so successful, organizations began to see the true cost of handling all these interactions, so many started to deploy “call avoidance” systems such as IVR and FAQs on the corporate website to try and cut down costs.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Service, Contact Center
Customer engagement is nothing new – organizations have been engaging with customers in one way or another ever since business began. Over the years, however, the nature of this engagement has changed dramatically, from largely face-to-face encounters and the written word to telephone, email, fax and text messaging and now to text-based applications, social media, mobile apps and video. These changes prompted organizations to create call centers to centralize the handling of phone calls, then contact centers that handle multiple channels of engagement, more recently, self-service channels like IVR and web-based FAQs, to the latest customer engagement centers that embrace all aspects of engaging with customers. Responding to these changes, Verint, best known as a workforce optimization vendor, has extended its suite of products to include a customer engagement center suite.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Service, Contact Center, Workforce Optimization, Knowledge Management
Genesys Doubles Down on Customer Experience Platform
Today many conversations about contact centers and CRM focus on customer engagement and the customer experience. Customer engagement should be relatively straightforward, addressing how organizations interact with customers through different channels of engagement. However, when it comes to customer experience, I believe many miss the point. The key word is experience, which means it is ultimately about perceptions and emotions. Companies must consider how customers feel prior to, during and after interactions. A common example would be a customer who feels frustrated when he or she gets a bill and believes it is wrong, who then gets angry talking to an agent who can do nothing about it and, as a result, considers changing suppliers.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Cloud Computing, Customer Service, Contact Center, 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
Customer Expectations Remain a Business and Technology Challenge
Our benchmark research into next-generation customer engagement shows that companies use, on average, seven channels of communication to engage customers. It also finds that supporting multiple channels leads to several challenges for organizations, chiefly difficulty of integrating systems (49%), channels managed as silos (47%) and inconsistent responses across channels (33%). Today’s customers have little sympathy for such problems – they quickly lose patience, and customer satisfaction levels fall. This problem in customer satisfaction will likely intensify. In our research, organizations reported that they expect volumes of interactions to increase on all channels and more digital channels such as text messaging, chat, mobile apps and video. In addition, to resolve more interactions at the first point of contact, organizations are using more employees in back-office groups such as finance, HR and operations.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Office of Finance, Customer Service, Contact Center
NICE Evolves Workforce Optimization Portfolio for Customer Excellence
I recently discussed how NICE continues to invest in its core products while creating a full customer experience platform, combining its core offerings with products newly acquired from inContact and Nexidia. During two recent briefings, I learned that these investments continue at quite a pace; the company announced a new product to address the ever-increasing number of channels of engagement, and another so that smaller centers with less sophisticated requirements can take advantage of a specialized workforce management product.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Office of Finance, Customer Service, Contact Center
Our benchmark research into the next-generation contact center in the cloud shows that organizations are supporting more and more channels of engagement; an emerging one is video. Adoption rates suggest that use of this technology for customer service is still in its early days, but as more consumers make video calls using mobile apps such as FaceTime, WhatsApp and Skype, we expect adoption rates and usage to increase. During two recent briefings I learned that Pitney Bowes has built a portfolio of products to support various uses of video.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Office of Finance, Customer Service, Contact Center
Imperative for Customer Engagement Needs Attention
Not long ago, organizations engaged with customers by meeting them in person, speaking with them on the telephone or writing to them. To be competitive today, however, organizations cannot confine customer service to those forms of engagement. Customers now engage with each other and organizations through a variety of digital channels that include email, corporate websites, text messaging, instant messaging, social media, smartphone applications and video.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Office of Finance, Customer Service, Contact Center
Our benchmark research into next-generation contact centers in the cloud confirms what many others are writing and talking about – that customer experience is now the business differentiator. This means that organizations need to get customer engagement right at every touch point, be it assisted by employees or digital. The same research shows that while organizations are supporting more channels of engagement, many are struggling to integrate systems and engagement channels; fewer than half of companies can offer omnichannel experiences. Making matters worse, many of their employees don’t have the full range of skills needed to handle all channels and types of interactions. To overcome these challenges, organizations need a systems architecture that integrates assisted and digital channels, workforce optimization and other business applications such as CRM and multidimensional analytics. Several vendors are working to provide such a suite, most focusing on in-system integration of channels, WFO and analytics, and integration with third-party CRM systems.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Service, Contact Center
Ever since I became involved in the CRM and customer service markets, everyone – businesses, vendors, consultants and analysts – has been talking and writing about the “360-degree view of the customer”. Despite claims from several vendors, I haven’t seen any products that produce a full 360-degree view, and user organizations haven’t had the time or resources to develop the technology themselves. As our research into next-generation customer analytics shows, the main issue is data – organizations have far more of it than most realize. The research shows that organizations on average use eight data sources as input to analytics, but there are more than 20 potential sources of customer-related data and the situation is getting worse. Beyond the sheer volume of it, data now comes in several forms – structured, unstructured (such as call recordings and text), event data (for example, video that customers download) and process data.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Office of Finance, Customer Service, Contact Center
Genesys Advances Engagement and Optimization of Customers
In tracking Genesys for several years I have seen it grow through a series of product developments and acquisitions – from predominantly selling call routing and computer/telephony integration (CTI) software to providing a suite of products that manage inbound and outbound, assisted and digital channels of customer engagement. Continuing this expansion Genesys recently acquired Interactive Intelligence and Silver Lining. These new assets signal another round of transformation as the company builds support for what I call a customer experience hub – a combination of products to support all aspects of enterprise-wide customer engagement.
Topics: Mobile, Customer Analytics, Customer Engagement, Customer Experience, Office of Finance, Analytics, Cloud Computing, Collaboration, Customer Service, Internet of Things, Contact Center, Digital Technology
Content Guru Brings Interactions to Cloud for Customer Engagement
Until recently, the contact center technology systems market was straightforward. Vendors typically provided on-premises systems that fell into four broad categories: telephony management, workforce optimization, business applications (most noticeably CRM) and analytics. The advent of more digital channels of engagement – the cloud, mobile devices, and artificial intelligence – has muddied the waters somewhat, making it harder to compare vendors. The cloud has had one of the most dramatic impacts; while some vendors still provide on-premises systems, more are providing services through a private or a public cloud or a hybrid model that combines on-premises and cloud-based systems; some providing services based on other vendors’ systems. More new vendors have entered the customer engagement market, and some established vendors have taken higher profiles in it.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Service, Contact Center
In tracking NICE for a decade I have seen the company grow, through a series of acquisitions and product developments, from a vendor largely of workforce management systems to one that offers a full suite of workforce optimization products. It is now advancing what I call a customer experience platform that builds on top of my last coverage of it advancing its efforts. This includes systems to manage assisted channels of engagement (primarily the telephone), digital channels of engagement, workforce optimization, advanced analytics and tight integration with business applications such as CRM. NICE is on the road to building such a platform using existing and newly developed products and those that it recently acquired from Nexidia and inContact. It will take time before a fully integrated platform is available, but the company has already taken steps toward this goal.
Topics: Big Data, Customer Analytics, Customer Engagement, Customer Experience, Mobile Technology, Analytics, Cloud Computing, Collaboration, Customer Service, Contact Center, CRM, Digital Technology
ShoreTel Offers Communications and Contact Centers
Until recently most organizations deployed systems on their own premises to build communications and contact center infrastructures, which often required them to integrate products from several vendors. In the past few years many vendors have moved their systems to the cloud, and others have begun as cloud-based suppliers. This trend has opened up the opportunity for more organizations to take advantage of modern communication systems and contact centers. Using the cloud for either, or both can save money and resources, reduce risk, and make available more integrated, multi-channel systems. While the adoption of such systems has undoubtedly increased and is likely to continue to do so, our benchmark research into next-generation contact centers in the cloud finds that many organizations still prefer to remain on premises, and adoption of cloud-based systems occurs on a case-by-case basis. In addition, many organizations look for vendors that support multiple models so they have the option of starting out using one model but transitioning later to another, including to a hybrid model in which some systems are on-premises and others are cloud-based..
Topics: Big Data, Mobile, Customer Analytics, Customer Engagement, Customer Experience, Machine Learning, Wearable Computing, Analytics, Business Intelligence, Cloud Computing, Collaboration, Internet of Things, Contact Center, Digital Commerce, Subscription Billing
One of the first applications I learned about in the contact center market was customer relationship management (CRM). The core capabilities of a CRM system were to manage customer data, marketing campaigns, sales opportunities and service requests. Vendors also touted them as the source for a comprehensive “360 degree” view of the customer, which they could never actually deliver because they did not include customer financial data, interaction histories or customer sentiment in the form of feedback. In any case CRM applications became integral to contact centers as a source of information to answer customer queries, but in reality they did little to actually manage the customer relationship, which was a factor in why they gained a bad reputation. Over time, many vendors adopted a different approach and broke the CRM category into marketing, sales and service clouds, which although they include additional capabilities basically do the same thing, with one big drawback – customer data is managed in three different systems, reducing the availability of a single source of customer data even further.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Contact Center, Digital Commerce
In 2016 Ventana Research saw a significant shift in the customer engagement and contact center software markets. Our benchmark research into the next-generation contact center in the cloud shows that for 70 percent of companies, customer experience is and will be an important way of competing; the largest growth in ways of competing is to introduce digital self-service, which will increase by 12 percent. To support those changes, organizations have introduced more channels of engagement, to the extent that our research shows the average has grown to eight channels. Our benchmark research into next-generation customer engagement shows that in nearly half (47%) of organizations these channels are managed as silos, which indicates that most organizations still operate multiple channels rather than supporting omnichannel engagement. The next-generation contact center research confirms that customer engagement is an enterprise-wide issue but one-third (33%) of companies struggle to provide consistent responses across touch points.
Topics: Mobile, Customer Analytics, Customer Engagement, Customer Experience, Office of Finance, Analytics, Cloud Computing, Collaboration, Customer Service, Internet of Things, Contact Center
USAN Integrates Management of Contact Centers and Communication Channels
Over the last few years the telecommunications and call center industries have undergone radical changes. Telecommunications was mainly in the hands of national and regional telecom companies, which essentially owned all the cables in the ground. The call center market was dominated by a small number of vendors that provided on-premises systems to manage and route calls when they arrived at a company’s offices. The telecom model was in effect the first cloud-based service, though almost no one stopped to think about how a call made on one device arrived at another. The arrival of the internet and wireless technologies and the telecom companies’ willingness to lease capacity on their lines changed both models. Now almost any company can provide communication services, and the majority of contact center systems are cloud-based. In this evolution some organizations that previously were hidden behind the telecoms have emerged as suppliers of communications and contact center services.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Employee Engagement, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
CallMiner Advances Customer Engagement Analytics
Our benchmark research into the next-generation contact center in the cloud confirms what most people intuitively know – that consumers now engage with each other and organizations through more communication channels than a few years ago and that many of these are speech- and text-based. Companies are therefore generating large volumes of voice recordings and textual records. They contain vital information about what customers feel about issues connected to their dealings with the organization – marketing messages the sales process, product and service quality, and employee behavior, among others. The challenge for organizations is to extract insights from these unstructured records and take action to benefit the business based on those insights. When it was founded in 2002, CallMiner set out to support organizations in that quest, and in 2012 it won a Ventana Research Technology Innovation awards.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Employee Engagement, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Zuora provides software that supports the rapidly expanding subscription economy. I recently attended the company’s user event in London, called subscribe16. During his keynote speech CEO Tien Tzuo insisted that the subscription economy is not only here to stay but is likely to grow substantially. In the U.K. alone, he said, 40 million users are using subscription services, including 14 million use video streaming services, 5.4 million use music streaming services, and perhaps most surprising, 78 percent of adults age 55 or older use at least one subscription service.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Employee Engagement, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Verint is an established vendor of contact center systems. Its portfolio of products includes digital customer engagement, knowledge management, agent desktop, workforce optimization (for which it was recently rated the top vendor in the Ventana Research 2016 Value Index), voice of the customer and multiple forms of analytics - including text. Verint has built its portfolio through internal developments and acquisitions, the latest of which is OpinionLab. This merger adds two significant capabilities to its already extensive voice of the customer capabilities, giving organizations the ability to measure customer feedback across all channels, including digital.
Topics: Customer Engagement, Customer Experience, Speech Analytics, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, CRM, Text Analytics
NICE Robotic Automation Improves Interaction Experience
Robotics is nothing new to some aspects of manufacturing and the IT industry, but it is relatively new in the customer experience (CX) market. The term often conjures up images of little gray machines taking over tasks previously handled by humans – machines making cars, programmed vacuum cleaners and the like. In the CX space, however, we are not talking about machines but about software that can automate routine tasks. For the time being, I don’t believe robots will take over the contact center and replace human agents. Indeed our recent research into next-generation contact centers in the cloud strongly suggests the opposite. It shows that the telephone is still the top channel of communication and that almost two-thirds (62%) of organizations expect call volumes to rise over the next 24 months. Thus agents will continue to handle large volumes of interactions, which may become more complex.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Employee Engagement, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Analysts have been talking and writing about a “360 degree” view of the customer for years. Our own benchmark research into customer relationship management shows that only37 percent of organizations are able to produce analysis and reports that yield such a comprehensive view. Other research into next-generation customer analytics reveals that the main issue in this area for nearly two-thirds (63%) of organizations is data availability. To make the situation worse, customer-related data is getting ever more numerous and complex. A principal reason for this growth is the number of communication channels consumers now use to engage with organizations and the type of data these channels produce. It includes call recordings, text messages, email, social media posts, customer feedback surveys, chat scripts and event data such as videos that users download. All of these types of data are unstructured , which makes them harder for conventional analytics tools to access and analyze.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Employee Engagement, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
In the late 1990s, CRM systems were launched to help organizations become customer-centric, to manage customer relationships from end to end, through marketing to sales to customer service, and to provide a “360-degree view of the customer.” For a variety of reasons (overselling, lack of proper adoption, missing functionality), they never lived up to many companies’ expectations, and so CRM got a poor reputation. I recently wrote that customer experience management has undergone significant change in the last 18 months, taking over the role of helping organizations become customer-centric, and that CRM vendors have played a part in these changes. Some of the larger ones have, in my view, taken a backward step by breaking CRM into three components to support marketing, sales and customer service; this makes it harder to support the end-to-end customer life cycle.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM
Intacct Advances Subscription Billing and Reporting
Intacct, a cloud-based ERP vendor focused on midsize companies, recently held its annual user group meeting. Two of its products that were covered in the keynote are worth noting. One, already available, enables companies to manage their order-to-cash process in a continuous fashion, from the time a salesperson begins to engage with a prospect to the time funds are collected. The other is a custom report writer, to be available in the first quarter of 2017, that will provide business users with the ability to create even complex reports from any data that resides within Intacct in a straightforward, interactive fashion that is similar to building reports in a desktop spreadsheet. The company also presented modules that will facilitate compliance with the new revenue recognition standards.
Topics: SaaS, Sales, Customer Engagement, Customer Experience, ERP, Human Capital Management, Marketing, NetSuite, Office of Finance, customer life cycle, Customer Service, billing software, asc 606
During a recent briefing with NGData, I was initially put off by excessive “marketing speak.” The team began by describing its product, Lily Enterprise, as a “customer experience operating system.” Being used to having operating systems run entire computers, I wasn’t sure what this meant. This term was followed by a statement that NGData’s products help companies transition from being “B2C to C2B,” that is, to put the customer first, an idea that has been around for several years but in my experience few companies achieve. One of the biggest challenges in this regard is that most companies are organized into business groups, and each business group typically has its own processes, systems and metrics, a situation that makes it hard to have a single view of the customer and take actions based on the same customer view, and which lends itself to focusing on internal goals, not the customer. As an example, our research into next-generation customer engagement shows three key impediments to delivering exceptional customer experiences: systems that are not integrated (for 49% of organizations), communication channels managed as silos (47%) and customers receiving inconsistent responses at different touch points. The root cause of all these is data – customer data. Organizations have multiple systems that generate customer data, in multiple forms: for example, structured data in CRM and ERP systems, voice recordings, text data from multiple sources (letters, email, Web scripts, text messages, chat scripts and social media posts), video and event data such as a customer downloading a film. With so much data in so many formats, it is hard for companies to generate a single, “360 degree” view of the customer that can be shared across the whole organization.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Over the years, our benchmark research studies on contact center systems have shown that larger centers use dedicated contact center systems to support their operations nearly twice as often as centers that have fewer than 250 seats. Smaller centers typically lack budgets and technical skills to deploy and operate such systems. This situation is evident in the tools commonly used to support workforce management and analytics; smaller centers most often use spreadsheets. While spreadsheets have their place in limited ad hoc analysis for small groups, in an environment such as a contact center, they cause issues with regard to ingesting data from multiple sources and providing analysis in real time.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics
Research Agenda: Transforming Customer Engagement in 2016
I have been involved in the contact center, CRM and customer engagement business for more than 25 years. Yet only in the past few years have I seen much change. Until recently nearly all organizations focused on handling customer interactions as efficiently and inexpensively as possible; few made much effort to manage customer relationships over the complete customer life cycle. However, over the last 18 months, the scene has begun to change very rapidly, and I expect that to continue and even accelerate during 2016.
Topics: Big Data, Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Aria Enables Effective Recurring Revenue Management
Aria Systems provides companies with software for managing subscription or recurring revenue business models. A recurring revenue business models includes three types of selling and billing structures: a one-time transaction plus a periodic service charge; subscription-based services involving periodic charges; or a contractual relationship that charges periodically for goods and services. Aria’s cloud-based software addresses key requirements of users in the marketing, sales, operations and accounting functions in this type of business.
Topics: SaaS, Sales, Sales Performance, Customer Engagement, Customer Experience, ERP, Marketing, NetSuite, Office of Finance, Recurring Revenue, customer life cycle, Customer Performance, Operational Performance, Business Analytics, Business Performance, Cloud Computing, Customer Service, Financial Performance, Business Performance Management (BPM), Sales Performance Management (SPM), billing software
Customer Experience in 2016 Infuses New Digital Technologies
There were significant technology developments in customer experience management during 2015. Multichannel contact centers in the cloud took hold of the contact center infrastructure market; I counted 21 vendors offering such services. A variety of vendors entered the market for customer analytics, combining analysis of structured data, speech recordings, text, desktop data, Web contacts, and events and processes to provide a comprehensive “360-degree” view of the customer and customer journey maps to track individual interactions over time. In addition a range of self-service or digital customer service applications became available, including mobile apps, voice-activated virtual agents, interactive video and Q&A websites and chat driven by natural-language processing. Digitally connected devices (the Internet of Things [IoT]) and wearable devices began to emerge. In 2016 I will track and try to anticipate the impact these technologies have on the customer experience.
Topics: Big Data, Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Voice of the Customer, Customer Performance, Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
mplsystems Offers Array of Customer Experience Support for Contact Centers
Based in the U.K., mplsystems is a relatively small vendor of contact center in the cloud systems, having fewer than 200 employees, but it has a distinct portfolio of products. Its core product, intelligentContact, is designed for omnichannel customer engagement. Its two other products, Customer Service CRM and Field Service Management, are not typically supported by other vendors in this space. As I dug deeper into the component parts of each of these products, I found other capabilities that also are not normally offered by contact center in the cloud vendors.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Mobile Technology, Speech Analytics, Voice of the Customer, Customer Performance, Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Diabolocom Provides Customer Interaction in the Cloud Solution
In our benchmark research into contact centers in the cloud, nearly two-thirds (63%) of companies said that adopting applications in the cloud would enable them to improve how they handle customer interactions, and slightly fewer than half (44%) said that adopting communication systems in the cloud would deliver similar benefits. Several vendors now provide such systems. Diabolocom is the latest one to brief me on its products. Founded in 2005 and having around 30 employees, it has headquarters in France (and its website is in French), but it has a global presence, primarily for supporting French companies that have offices around the world. Its contact center products are available only in the cloud and extend beyond basic multichannel communications to other applications connected with handling customer interactions.
Topics: Big Data, Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Voice of the Customer, Customer Performance, Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Oracle Advances Applications and Technology for Customer Experience
Oracle has built one of the world’s largest software portfolios through a combination of developing products in-house and acquisitions. In the last few years it has put great effort into transitioning from providing its applications as on-premises products to making them available in the cloud. It also has worked to add customer experience capabilities to its range of business applications. Improving the customer experience is a top priority as our next generation customer engagement research found in almost three quarters (74%) of organization. In doing so it has developed a common user interface across the applications to address modern user expectations and has built a platform to support common capabilities in all its products. Recently I had the opportunity to study the strides Oracle has made in these areas as well as to identify some issues that still need to be resolved.
Topics: Big Data, Customer Engagement, Customer Experience, Customer Performance, Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, CRM
Intradiem Enables Real-Time for Agents and Work
When I last wrote about Intradiem, its focus was on using numerous sources of data as input for a rules engine that enables companies to make better use of customer service agents’ idle time by allocating tasks to fill those gaps. Although that fundamental concept hasn’t changed, the latest versions of its products also take on a bigger challenge: automating the handling of interactions by shifting the focus from making the best use of idle time to making the handling of interactions and associated tasks more dynamic.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Performance, Analytics, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM
dvsAnalytics Makes Strong Showing in Workforce Optimization
Having covered workforce optimization systems for more than 10 years, recently I was contacted for a briefing by dvsAnalytics. I quickly learned that the analytics mentioned in the company’s name are focused on workforce optimization. Founded in 1983, dvsAnalytics is headquartered in Scottsdale, Ariz., and has thousands of customers in various industry sectors. Its Encore suite of products includes standard workforce optimization applications for call recording, quality management, workforce management and coaching as well as post-contact surveys, live monitoring, multiple forms of analytics and a range of APIs to support integration with third-party products, especially telecommunications systems. The products have mostly been developed in-house although workforce management is provided through integration with Community Workforce Management from WorkForce Management Software Group. DvsAnalytics makes its products available on-premises, in the cloud or in a hybrid environment; unlike some vendors, it builds all three options on the same code base. Most of its sales and post-sales support are provided through a network of partners in various locations.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Voice of the Customer, Customer Performance, Analytics, Business Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, Text Analytics, Workforce Force Optimization
Enghouse Evolves Products for Contact Center Demands
Over the last few years, through a combination of acquisitions and internal development, Enghouse Interactive has developed a portfolio of contact center products and services. Recently it announced its product portfolio for 2016. This consists of three core products: CCE, CCSP and EICC. These are updated and rebranded versions of the products I recently wrote about, and each is designed to help different types of organizations maximize the value of every interaction with customers.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Mobile Technology, Speech Analytics, Customer Performance, Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Transera Embraces Salesforce.com and Analytics
Transera is an established vendor of contact center in the cloud systems and analytics, and as I discovered at the Salesforce Dreamforce ’15 conference and during a recent briefing, it has added support for managing voice interactions for users of salesforce.com Service Cloud. Its core product, Global Omni-Channel Contact Center, now supports voice, email, chat and Twitter, which are managed centrally through a routing engine that treats all interactions in the same way. This ensures that companies have a central view of how interactions are being handled, and they can manage the rules to guide customers to the channel most appropriate for what they are trying to achieve and route the interaction to the most qualified person. An enhanced scripting engine allows users to script the ways in which different types of interactions are handled, and a recording engine captures all calls and makes them available for analysis. Transera also has added capabilities to produce real-time analysis of contact center performance through dashboards and analytics that show a single view across all sites and data sources. Operational and business metrics can be calculated using multiple data sources, and a variety of visualization capabilities enable the analysis can be displayed in the format most appropriate for a specific user and occasion. All the systems are available in the cloud and are scalable enough to support companies of all sizes, including those with centers in multiple sites.
Topics: Big Data, Customer Engagement, Customer Experience, Speech Analytics, Customer Performance, Analytics, Business Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Founded in 2000, LiveOps has evolved a unique two-sided business model. On one side is LiveOps Agents on Demand, an Uber-like business in which home-based workers sign-up as LiveOps agents, and the company uses them to provide outsourced contact center services. This model enables LiveOps to provide flexible levels of service; customers can scale up and down as needed while the provider is able to manage agent numbers cost-effectively. The agents use the LiveOps Cloud Contact Center platform; in this way the company can test its system and use these agents’ experiences to improve the platform as used on the other side of the business. I have previously covered their focus on contact centers in LiveOps Improves the Agent Experience. LiveOps reports revenues growing on both sides and being able to expand its cloud contact center business globally.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Customer Performance, Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Subscriber Experience Impacts Recurring Revenue
The digital economy has changed the way many companies provide products. Some no longer deliver packaged products but provide them as services over a network, typically the Internet. Telecommunications providers in particular are familiar with this business model and have developed processes and systems that use innovations such as product bundles that include elements of fixed charges (such as cost of installation) and variable charges based on usage (such as the number of calls made) and means of registering customers on the network, collecting usage data, invoicing and collections. This model has been adopted increasingly by the software industry, replacing a single license fee and maintenance charges for on-premises products with software as a service in which users access products over the Internet and pay per user and/or for usage. Adoption of this model by other types of business has led them to think of customers as subscribers.
Topics: Big Data, Sales Performance, Customer Analytics, Customer Engagement, Customer Experience, Marketing, Customer Performance, Operational Performance, Analytics, Cloud Computing, Customer Service, Financial Performance, CRM
Genesys Brings G-Force to Powering a Better Customer Experience
I recently joined more than 1,000 users, partners, consultants and other analysts at the first global G-Force 2015 conference, held in Miami. Sponsor Genesys put together an agenda that not only educated but entertained the attendees. For an example of the latter, Sekou Andrews, a poet, actor, musician and voice-over artist, preceded the main keynotes with a wonderful sketch that put customer experience into the context of marriage and reminded us to treat customers as he does his wife, remembering that the customer is always right!
Topics: Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Customer Performance, Analytics, Business Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
MicroStrategy Reveals New Generation of Analytics for Cloud and Mobile Computing
At its recent MicroStrategy World 2014 conference, the enterprise software company introduced a portfolio of products to make it easier to perform analytics and make them easier to access through the cloud and mobile forms of computing. These announcements accelerate MicroStrategy’s transition to approaching corporate business users of analytics from its past focus on business intelligence, which typically is purchased by IT. This is a subtle but strategic shift that recognizes where growth opportunities lie and that analytics must be available on any device at any time. MicroStrategy made it clear that advances in the cloud, mobility and big data were integral to its product releases last year and is continuing in this direction in 2014 with the products in its MicroStrategy 9.4 suite.
Topics: MicroStrategy, Mobile, Social Media, Customer Engagement, Smart Phones, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Information Applications, Location Intelligence, Operational Intelligence, Tablets
Justifying Analytics for Agents and Better Customer Service
Our new world of multifaceted customer communications is driven by moments of interaction with the brand, often called moments of truth. Today’s call center analytics put companies in a position to manage these moments. Analytics that are specific to the call center include desktop analytics, event stream analytics, speech analytics, text analytics, cross-channel analytics and predictive modeling. These analytics, in turn, drive areas such as agent training and coaching, time and capacity optimization, customer satisfaction and loyalty, and cross-sell and upsell opportunities.
Topics: Customer Engagement, Customer Experience, customer life cycle, call center analytics, capacity utilization, Operational Performance, Business Analytics, Business Intelligence, Customer & Contact Center, Workforce Performance, Call Center, Workforce Analytics, NPS
