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
Adding geographic and location context to business information enables organizations to develop fuller understanding and optimize the activities of people that use the information. We call this location intelligence, and to achieve it requires location analytics, which focus on that context where the processing and presentation of geography and spatial aspects of data are utilized. Analysis of geographic information can provide business insights that help organizations make better business...
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Topics:
Sales Performance,
Supply Chain Performance,
Customer Analytics,
GIS,
Location Analytics,
IT Performance,
Operational Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Cloud Computing,
Customer & Contact Center,
Financial Performance,
Information Applications,
Information Management,
Location Intelligence,
Operational Intelligence,
Workforce Performance
Salesforce.com began with a simple message: On-premises CRM has come to the end of its useful life, and the way forward is cloud-based CRM. I have written several times that the company has won this argument, and my research into contact center in the cloud confirms this: 63 percent of participating organizations said that adopting systems in the cloud is one of the key ways to improve customer engagement. Furthermore, this vendor’s success pressurized many other companies to move into the...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Social CRM,
Mobile Apps,
Self-service,
Business Collaboration,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM