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
ManyWho was launched in May 2013 by two former Salesforce.com executives, Dave Norris and Steve Wood. They branded it the Cloud Workflow Company, It offers an innovative approach that allows organizations to create workflows, automatically convert them into business applications and run the apps on multiple types of devices. The key to its success lies in the second and third steps, which differentiate ManyWho from most other business process optimization vendors; the process maps that users...
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Topics:
Customer Experience,
Self-service,
Operational Performance,
Business Collaboration,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
CRM
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
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
When applying information technology to drive better business performance, companies and the systems integrators that assist them often underestimate the importance of organizing data management around processes. For example, companies that do not execute their quote-to-cash cycle as an end-to-end process often experience a related set of issues in their sales, marketing, operations, accounting and finance functions that stem from entering the same data into multiple systems. The inability to...
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Topics:
Big Data,
Mobile,
Sales Performance,
Supply Chain Performance,
ERP,
Office of Finance,
Operations,
Management,
close,
closing,
computing,
end-to-end,
Operational Performance,
Analytics,
Business Performance,
Cloud Computing,
Data Management,
Information Applications,
Information Management,
CRM,
Data,
finance,
FPM
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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
Read More
Topics:
Customer Analytics,
Customer Experience,
Operational Performance,
Analytics,
Business Analytics,
Business Intelligence,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM