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
Ventana Research has just released its 2013 Value Index for Agent Desktop Management, in which we evaluate the competency and maturity of vendors and products that support the management of the desktop systems that agents use to handle customer interactions. Our firm has researched this software category for many years, and our benchmark research into customer service and the agent desktop shows the impact the agent desktop has on agent satisfaction and efficiency and the business outcome of...
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Topics:
Salesforce.com,
Customer Experience,
NICE Systems,
Cincom,
Genesys,
Jacada,
Kana,
Operational Performance,
Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
Upstream Works,
OpenSpan
Enkata used to focus its products on improving agent performance in the contact center. It has gradually expanded that focus to include improving the performance of workers in the back office, an effort that has culminated in a suite of products that help companies improve processing of healthcare claims.
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Topics:
Customer Experience,
Enkata,
Operational Performance,
Business Analytics,
Business Intelligence,
Customer & Contact Center,
Call Center,
Contact Center,
Desktop Analytics,
Workforce Force Optimization
Anyone who follows salesforce.com is used to surprises, but over the last couple of months the company has come up with some that go beyond the usual. It rebranded the recent user conference in London as a customer company event. This follows from changing its messaging to urge every company to become a customer company not a social company. The event itself was everything we have come to expect, using an array of customer case studies to show how salesforce.com’s products help companies...
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Topics:
Sales,
Sales Performance,
Social Media,
Customer Experience,
Social CRM,
Voice of the Customer,
Mobile Apps,
Self-service,
Operational Performance,
Analytics,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Information Applications,
Call Center,
Contact Center,
CRM
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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
In never ceases to amaze me, the number of new terms and acronyms the contact center market generates. Just as everyone is getting used to the fact that customers interact with companies through multiple communication channels (multichannel for short), someone invents the term omnichannel and we all have to get our heads around what this means. My research into the contact center in the cloud shows that companies now support on average nearly five communication channels, and although the...
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Topics:
Sales Performance,
Social Media,
Customer Experience,
Social CRM,
Voice of the Customer,
Echopass,
Enghouse interactive,
Five9,
LiveOps,
Mobile Apps,
NewVoicemedia,
Operational Performance,
Analytics,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
CRM,
Interactive Intelligence,
Unified Communications
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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
Much is being written about the impact of social media on customer service, although my research into the agent desktop shows it hasn’t reached the fever pitch that many commentators would have us believe. It is true that the number of consumers using social media and as a consequence the volume of posts are astronomical. But I wonder how many of these posts actually have to do with customer service and how organizations filter out the relevant ones to help them decide on customer service...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Social CRM,
Analytics,
Business Collaboration,
Cloud Computing,
Collaboration,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
Unified Communications,
Social Media Analytics,
SoCoCare