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...
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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
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...
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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,...
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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...
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Topics:
Customer Engagement,
Customer Experience,
Speech Analytics,
Analytics,
Cloud Computing,
Customer Service,
Call Center,
Contact Center,
CRM,
Text Analytics
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...
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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...
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Topics:
Customer Analytics,
Customer Engagement,
Customer Experience,
Employee Engagement,
Analytics,
Cloud Computing,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics
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...
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Topics:
Customer Analytics,
Customer Engagement,
Customer Experience,
Speech Analytics,
Analytics,
Cloud Computing,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics
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...
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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
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...
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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
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...
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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
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...
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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
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...
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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
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.
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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 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...
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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;...
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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
Much is written about omnichannel customer experience, and various software vendors now claim to focus on the customer experience. With various degrees of credibility they range from providers of communication channel management to workforce optimization, voice of the customer, self-service, analytics and even CRM. This bandwagon raisesthe question of what omnichannel customer experience really is and how companies can achieve it. Our benchmark research into next-generation customer engagement...
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Topics:
Big Data,
Sales Performance,
Customer Analytics,
Customer Experience,
Speech Analytics,
Analytics,
Business Collaboration,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Operational Intelligence,
Uncategorized,
Call Center,
Contact Center,
Contact Center Analytics,
Text Analytics
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,...
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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
I recently attended my first U.S. Dreamforce, the annual salesforce.com event designed to showcase its products and services as well as those of its partners, and I was impressed. I was told that Dreamforce ‘15 would be big, and it was – just about every hotel, restaurant, meeting room in San Francisco seemed to have been taken over for the week, and still the company had to bring in a cruise ship to accommodate people and events. I was told it would be manic, and it was – more than 100,000...
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Topics:
Big Data,
Sales Performance,
Social Media,
Customer Analytics,
Customer Experience,
Marketing,
Mobile Technology,
Speech Analytics,
Wearable Computing,
Customer Performance,
Analytics,
Business Analytics,
Cloud Computing,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics
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...
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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
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...
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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
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...
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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 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...
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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
I recently attended a Cisco Collaboration analyst day in the U.K. and was impressed by what I heard and saw.Cisco of course is known as a supplier of network equipment and software, and it has long provided these through a global network of partners. But Cisco also has been in the contact center market for several years and has had success with its small and enterprise contact center systems, having more than 20,000 on-premises customers and revenue in excess of US $1.5 billion. Cisco markets...
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Topics:
Big Data,
Customer Analytics,
Customer Experience,
Speech Analytics,
Analytics,
Business Collaboration,
Cloud Computing,
Customer & Contact Center,
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...
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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
Read More
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 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...
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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
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...
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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 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.
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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...
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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
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:
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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
The Ventana Research Value Index for Workforce Optimization in 2015 is now released. Workforce optimization covers all aspects of managing everyone who handles customer interactions and is thus vital to improve operational efficiency, and customer and employee satisfaction. It includes the following applications: interaction capture, quality monitoring and assurance, workforce management, coaching and learning management, variable compensation management, and interaction and agent analytics....
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Topics:
Big Data,
Customer Analytics,
Customer Experience,
Speech Analytics,
Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
Text Analytics
Read More
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
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...
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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
Read More
Topics:
Customer Analytics,
Customer Experience,
Speech Analytics,
Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics
During recent IBM analyst big data event, I learned about a new product, IBM Predictive Customer Intelligence. It extracts and processes customer-related data from multiple sources to analyze customer-related activities and has capabilities to predict customer behavior and actions. Predictive Customer Intelligence is built on IBM’s big data platform and supports extraction and integration of data from multiple sources, internal and external, and from structured and unstructured data. It can...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Voice of the Customer,
IBM Predictive Customer Intelligence,
Analytics,
Business Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
IBM,
Information Applications,
Call Center,
Contact Center,
Contact Center Analytics,
IBM Watson,
Text Analytics
By its own admission, SAS has a very large software portfolio (of more than 250 individual products), and it continues to develop and release more products and updates to existing ones. Some of the products are sold alone, and others are bundled into “enterprise solutions”. Some are for technical users, and others are business applications. This complexity can make it hard to identify which product or bundle serves a particular need. Three are most relevant to my research practice: Customer...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Mobile Apps,
Analytics,
Business Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
Text Analytics
Last year I assessed how Nexidia had advanced its products to support customer interaction analytics. Since then the market has changed, and Nexidia continues to expand its products to meet a broader set of needs for analyzing and optimizing customer interactions. Companies are recognizing that they need complete information about their customers, including interactions, and need to change the metrics they use to monitor and assess customer-related activities. My research into next-generation...
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Topics:
Customer Analytics,
Customer Experience,
Speech Analytics,
Nexidia,
Analytics,
Business Analytics,
Cloud Computing,
Customer & Contact Center,
Call Center,
Contact Center,
Contact Center Analytics,
Text Analytics
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,...
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Topics:
Sales Performance,
Social Media,
Customer Analytics,
Customer Experience,
Customer Feedback Management,
Social CRM,
Speech Analytics,
Voice of the Customer,
Mobile Apps,
Self-service,
Operational Performance,
Analytics,
Business Performance,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Financial Performance,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics,
Unified Communications,
Workforce Force Optimization
8x8, Inc. was founded in the 1980’s to provide semiconductor products to the emerging personal computer market; in 2002 it was relaunched to focus on Voice over IP (VoIP) services. By 2008 it had become the second-largest independent VoIP provider in the U.S., and its product, Virtual Office, was widely used by businesses for telecommunications. In 2011 8x8 acquired Contactual and entered the cloud-based call center market. Today the company brands itself as a “communication and collaboration...
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Topics:
Customer Analytics,
Customer Experience,
Speech Analytics,
Voice of the Customer,
Operational Performance,
Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
Desktop Analytics,
Text Analytics,
Unified Communications
NICE Systems is best known for its suite of workforce optimization products [http://www.nice.com/workforce-optimization-lobby] that I recently assessed. However, after attending its user event last year, I wrote in 2013 that it was extending its portfolio and changing its focus to concentrate on packaged solutions that address specific business needs. Over the years the company’s portfolio has evolved through a combination of in-house development, acquisitions and partnerships. This approach...
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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 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...
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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
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...
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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
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...
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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
Our recently released research into next-generation customer analytics shows that the most participants (52%) use spreadsheets as a customer analytics tool. I recently wrote that while these popular tools are adequate for some tasks, they are not suitable for analyzing large volumes and many types of customer data. So I think it is appropriate that one in four (26%) participants have adopted a dedicated customer analytics tool and a further 29 percent are planning to invest in such a tool in...
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Topics:
Social Media,
Customer Analytics,
Speech Analytics,
Voice of the Customer,
IT Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Collaboration,
Business Intelligence,
Business Performance,
Cloud Computing,
Customer & Contact Center,
Financial Performance,
Information Applications,
Information Management,
Location Intelligence,
Operational Intelligence,
Call Center,
Contact Center,
Contact Center Analytics,
Desktop Analytics,
Text Analytics
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....
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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
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...
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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
I recently completed two closely related benchmark research reports, on next-generation customer engagement and next-generation customer analytics. The research on customer engagement shows that companies on average engage with customers through seven or eight communication channels and that almost every business unit except IT engages with customers. To provide customers with personalized, in-context and consistent experiences across these channels, companies need an up-to-date, complete view...
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Topics:
Customer Analytics,
Customer Experience,
Speech Analytics,
Voice of the Customer,
Operational Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Customer & Contact Center,
Governance, Risk & Compliance (GRC),
Information Management,
Call Center,
Contact Center,
Contact Center Analytics,
Desktop Analytics,
Text Analytics
In my benchmark research into next-generation customer engagement three-quarters (77%) of participating companies said it is necessary to improve the way they engage with customers. The main drivers for doing that are to improve the customer experience (74%) and improve customer service (70%). However, neither is an easy task because companies now have to support more channels of communication, and more customer interactions are handled by multiple business units within the organization. The...
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Topics:
Big Data,
Social Media,
Customer Analytics,
Customer Experience,
Speech Analytics,
Analytics,
Business Collaboration,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics
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 ...
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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
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...
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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
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...
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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 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.
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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
If you stop to compare communication preferences of the past to those of today, you can’t fail to notice some major changes, especially in younger generations. Talking on the phone – fixed or mobile – is in decline, as many people now prefer text messaging, chat and social media. We rely on the Internet to search for websites, run mobile apps and use social media. We watch less TV in real time, preferring to watch what we want, when we want to watch it and to skip advertisements. The same...
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Topics:
Big Data,
Sales Performance,
Social Media,
Customer Analytics,
Customer Experience,
Speech Analytics,
Operational Performance,
Analytics,
Business Collaboration,
Business Performance,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics
I recently wrote how the recent U.K.-based Call Centre Expo showed that companies have shifted priorities for deployment systems from on-premises infrastructures to cloud-based systems and that as a consequence vendors had shifted focus from workforce optimization to cloud-based multichannel interaction management. Confirming this trend, as salesforce.com Dreamforce event at least 10 such vendors will be showing their products. A few of them I saw at Call Centre Expo: Genesys, Interactive...
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Topics:
Big Data,
Social Media,
Customer Analytics,
Customer Experience,
Speech Analytics,
Analytics,
Business Collaboration,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics
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...
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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
Infor is a vendor I haven’t covered much in the past, but after attending the recent Infor on the Road day in the U.K. that is about to change. I viewed Infor as basically a CRM vendor, and I don’t believe such systems have much impact on customer engagement and the customer experience. Indeed if you view Infor website’s product page, it features several product categories focused on internal processes: CRM, Asset Management, Financial Management, Resource Planning, Human Capital Management and...
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Topics:
Big Data,
Sales Performance,
Social Media,
Supply Chain Performance,
Customer Analytics,
Customer Experience,
Speech Analytics,
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
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...
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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,...
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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 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....
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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
Nexidia is best known as a vendor of speech analytics. It was one of the first in this market, and a key differentiator is that its product uses phonetics to identify words and phrases embedded in recordings of phone calls. This capability has the advantage over standard word and phrase spotting because users don’t have to create a dictionary of words they want to spot. Thus the software can analyze calls and identify their content without users having to predetermine what it should look for....
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Topics:
Big Data,
Customer Analytics,
Customer Experience,
Speech Analytics,
Analytics,
Business Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
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...
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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
Read More
Topics:
Big Data,
Customer Analytics,
Customer Experience,
Speech Analytics,
Analytics,
Business Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics
Enkata, as I wrote not long ago is continuing to expand the range and capabilities of its products for optimizing employee actions while maintaining a firm foothold in analytics for the contact center and agents. Its latest release, Action Center, maintains this position with a focus on improving employee performance.
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Topics:
Customer Analytics,
Customer Experience,
Speech Analytics,
Enkata,
Operational Performance,
Analytics,
Business Analytics,
Business Performance,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
Desktop Analytics,
Text Analytics
The market for customer analytics continues to grow as organizations realize the current competencies and technology are not aligned to the priority of providing the best possible customer experience through supporting business processes. At the same time those organizations that have invested and continue to improve in this area are taking advantage of why I call a new generation of customer analytics. As I research into technology to support customer analytics, I had a chance to assess the...
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Topics:
Social Media,
alteryx,
Customer Analytics,
Customer Experience,
Speech Analytics,
Voice of the Customer,
Operational Performance,
Analytics,
Business Analytics,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Call Center,
Contact Center,
Contact Center Analytics,
Desktop Analytics,
Text Analytics
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...
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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
NICE Systems is well known in the contact center market for its suite of workforce optimization products. However, over the past several months it has gradually been expanding out of the pure-play contact center market into back-office and mobile applications, as well as the broader market of customer interaction handling. My research on the contact center in the cloud shows that customer interaction processes are getting more complex as customers demand faster, more personalized responses,...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
NICE Systems,
Speech Analytics,
Voice of the Customer,
Analytics,
Business Analytics,
Business Intelligence,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
CRM,
Desktop Analytics,
Text Analytics
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...
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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
Read More
Topics:
Social Media,
Customer Analytics,
Customer Experience,
Speech Analytics,
Voice of the Customer,
Mobile Apps,
Self-service,
Analytics,
Business Analytics,
Business Collaboration,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
IBM,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
IBM Watson,
Text Analytics
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...
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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
Read More
Topics:
Social Media,
Customer Analytics,
Customer Experience,
Social CRM,
Mobile Apps,
Self-service,
Operational Performance,
Business Performance,
Cloud Computing,
Customer & Contact Center,
Customer Service,
IBM,
Call Center,
Cognitive Computing,
Contact Center,
Contact Center Analytics,
CRM,
IBM Watson,
Text Analytics
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...
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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
When it comes to today’s customers, companies have to be smart if they are going to anticipate and meet new customer expectations. These days IBM talks about doing most things in “smart” ways. Recently I was briefed on IBM’s Smart Customer Analytics, but it took me quite a while to find information about it on the company’s not-so-smart website. Surprisingly since business analytics is so important to IBM current and ongoing investments and is the top ranked technology innovation priority in 39...
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Topics:
Sales Performance,
Customer Analytics,
Customer Experience,
Voice of the Customer,
Operational Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Cloud Computing,
Customer & Contact Center,
Customer Service,
IBM,
Information Applications,
Information Management,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics
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...
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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
When I last wrote about Attensity I classified it as a “pure play” text analytics vendor, but the latest release of its product has lead me to revise my opinion. Its product Respond uses natural language-based analysis to derive insights from any form of text-based data and among other results can produce analyses of customer sentiment, hot issues, trends and key metrics. The product supports what Attensity calls LARA – listen, analyze, relate, act – which is a form of closed-loop performance...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Social CRM,
Speech Analytics,
Voice of the Customer,
Analytics,
Business Analytics,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics
Read More
Topics:
Social Media,
Customer Analytics,
Customer Experience,
Social CRM,
Voice of the Customer,
Kana,
Mobile Apps,
Self-service,
Analytics,
Business Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics
The last time I reviewed ClickFox it was primarily focused on capturing how callers transverse IVR menus. It produced visual maps of what options callers used and thus how they navigate what can be quite complex menus, allowing users to identify the most common paths and thereby optimize these to meet common customer requirements and business needs. Since that time the market has changed considerably, and ClickFox’s current products now support companies as they try to identify how customers...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Speech Analytics,
Voice of the Customer,
Clickfox,
Self-service,
Analytics,
Business Analytics,
Business Collaboration,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics,
Unified Communications
I began my involvement with contact centers – actually they were called call centers in those days -more than 20 years ago. I quickly learned that almost everyone involved in running a contact center is obsessed with metrics: queue times, average call handling times, agent utilization, average length of after-call work – the list seemed to be endless. Since joining Ventana Research I have carried out numerous benchmark studies into customer and contact center performance, and found things...
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Topics:
Customer Analytics,
Customer Experience,
Speech Analytics,
Voice of the Customer,
Analytics,
Business Analytics,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics
IBM recently announced its new Customer Experience Lab. During a briefing I learned that the lab is a response to what IBM discovered by interviewing more than a thousand CMOs, who are concerned about the explosion of data companies collect about their customers. This explosion is being driven by changing customer communication preferences and the way customers now interact with organizations, which I recently highlighted in my post about the 2.0 world. My research into the contact center in...
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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
Organizations have been talking about how to effectively analyze customer data for more than three decades. This has evolved into a desire for a “360-degree view of the customer” - a comprehensive picture drawn from all available data. As yet, not many organizations have achieved it. Our recent research into customer relationship maturity shows that fewer than one-third (31%) of organizations produce a single set of reports and analysis that the whole organization uses to support...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Speech Analytics,
Voice of the Customer,
Analytics,
Business Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics
I recently wrote that Salesforce.com was a vendor to watch during 2013, and during a recent briefing I heard more messages that support this view. First there was confirmation about financials. Even though the company is only 14 years old and the overall economy is not exactly booming, revenues for 2012 were up 35 percent to $3.05 billion, with Europe matching this with a 37 percent year-on-year growth. This not only shows the company is here to stay, but that the cloud is now well and truly...
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Topics:
Sales Performance,
Salesforce.com,
Social Media,
Customer Analytics,
Customer Experience,
Social CRM,
Speech Analytics,
Voice of the Customer,
Operational Performance,
Analytics,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics
Clarabridge is a well-known text analytics vendor that markets its products under the banner of customer experience management. As I wrote last year, its products allow organizations to take a closed-loop approach by capturing all forms of text data, analyzing it, categorizing it, understanding root causes of customer issues and raising alerts so that action including collaboration can be taken based on these insights. Such a process is supportive of customer experience management, but for me...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Speech Analytics,
Clarabridge,
Mobile Apps,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics,
Unified Communications
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...
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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
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...
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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
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.
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Customer Feedback Management,
Social CRM,
Speech Analytics,
Voice of the Customer,
Genesys,
Mobile Apps,
Self-service,
Analytics,
Business Analytics,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics,
Unified Communications,
Workforce Force Optimization
Transera is an established contact center in the cloud vendor with in-depth interaction routing capabilities. During a recent briefing I learned that it has now supplemented these capabilities by launching a new product that it calls Adaptive Customer Engagement. Although it’s not entirely obvious from the name, the product uses big data analytics to analyze past customer interactions, profile customers, then use these insights to optimize current and future customer-facing activities such as...
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Topics:
Customer Analytics,
Customer Experience,
Speech Analytics,
Analytics,
Business Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics,
Transera
OnviSource is best known for its OnviCenter Product Suite, which includes what is commonly referred to as workforce optimization (recording, quality, monitoring, workforce management, analytics) plus a telephony platform that includes a soft, IP-based PBX, IVR and call routing. It is available on-premises or through the company’s cloud-based option, OnviCloud. Recently OnviSource added a further option, OnviLink, and announced enhancements to OnviTel, its telephony platform.
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Topics:
Sales Performance,
Customer Analytics,
Customer Experience,
Speech Analytics,
Operational Performance,
Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics,
OnviSource,
Workforce Force Optimization
Recently Verint announced a new development in its workforce optimization suite Impact 360 Workforce Optimization that it calls Personalized Guidance. It aims to improve the customer experience by prompting anyone handling customer interactions with what they should do next. The principle is simple and logical: Analyze all the data you can so you understand the customer and context of the interaction, identify best next action, and prompt the person handling the interaction with this action so...
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Topics:
Customer Analytics,
Customer Experience,
Speech Analytics,
Voice of the Customer,
Operational Performance,
Analytics,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics,
Verint,
Workforce Force Optimization
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%).
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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
My research into the customer service agent desktop shows that most centers expect a lot of their contact center agents: more than half (59%) handle between two and five different services (such as general queries, complaints and sales) and 14 percent handle seven or more. Nearly half (49%) are expected to handle between six and 15 calls per hour, and as well as calls, the majority (75%) are expected to handle other forms of interactions, with most handling between one and five per hour. To...
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Topics:
Sales Performance,
Social Media,
Customer Analytics,
Customer Experience,
Speech Analytics,
Voice of the Customer,
Operational Performance,
Analytics,
Business Collaboration,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics
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...
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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
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...
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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
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...
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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?
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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
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...
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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
The parent company of mplSystems, Message Pad Ltd., was founded in the U.K. in 1994 and provides the infrastructure to support contact center operations. mplSystems’ main product family is intelligentContact (iContact), which is available either on premises or in the cloud. It is an interesting mix of products that covers call, email, chat, SMS, social media management and routing from a universal queue, a new social media product that routes social media posts to agents and provides the...
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Topics:
Microsoft,
Social Media,
Customer Analytics,
Customer Experience,
Social CRM,
Speech Analytics,
Voice of the Customer,
Mobile Apps,
Analytics,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics,
Unified Communications
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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
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.
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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
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Topics:
Customer Analytics,
Customer Experience,
Speech Analytics,
Voice of the Customer,
Callminer,
Analytics,
Business Analytics,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics
Vocalcom is one of the up-and-coming names in the contact center market. Founded in 1995, it is headquartered in France but has a worldwide presence, with 4,500 customers and more than half a million users of its services. It may not be as well-known as other companies in the same space because many of the customers are in southern Europe, and a high percentage are outsourcers who use its services to provide contact center services based on its platform. It offers what I call multichannel...
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Topics:
Salesforce.com,
Social Media,
Customer Analytics,
Customer Experience,
Social CRM,
Speech Analytics,
Voice of the Customer,
Mobile Apps,
Analytics,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics,
Unified Communications,
Vocalcom
Salesforce.com launched more than 12 years ago as the founding CRM vendor in the cloud. Today it has grown to be the kitchen-sink vendor in the cloud. It seems every month it announces some new cloud service, and its services now cover almost the entire enterprise: sales, marketing, service, HR, finance and a list of supporting services that make it hard to determine just what the company now has to offer. Two things remain clear, however: Salesforce.com has established cloud computing as a...
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Topics:
Sales,
Social Media,
Customer Analytics,
Customer Experience,
Social CRM,
Voice of the Customer,
Mobile Apps,
Analytics,
Business Analytics,
Business Collaboration,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
CRM,
Text Analytics,
Unified Communications