text mining

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Published By: Pega     Published Date: May 25, 2016
IT leaders working on customer service projects must display an incredible amount of diligence. An organizationís CRM system has become its lifeline to customers, but as customer needs evolve so has the requirements of CRM. According to Gartner, todayís CRM solution must include a laundry list of capabilities outside its traditional core functionality including: native mobile support of the vendor's customer service and support business applications; real-time analytics; industry-specific functionality and workflow; context mining of voice and text; scalable cloud-based systems; social media engagement; suggested next agent action; multimodal capabilities, such as chat within mobile self-service; and even co-browsing. Gartner surveyed the CRM field and evaluated each vendor including Pegasystems. Download this Gartner Magic Quadrant analysis and gain a better understanding each vendorsí CRM Customer Engagement Center solutions.
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best practices, customer support, business intelligence, business optimization, customer engaement
    
Pega
Published By: IBM     Published Date: Oct 19, 2017
The Smarter Process platform is IBMís solution for reinventing business operations in a way that infuses every process with intelligence and expertise to deliver greater customer centricity, which in turn fuels top-line growth. It incorporates Business Process Management, Case Management, Operational Decision Management and Process Analytics, along with Process Discovery and Design with an objective of ensuring that customers find it easy to do business and that every interaction includes positive touch points. Within the context of this new imperative, accessing cloud efficiencies, leveraging mobile for greater engagement, mining big data for insights, and enhancing customer relationships via social media, are proving to be critical and interrelated strategies.
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customer engagement, mobile, social, bpm, case management
    
IBM
Published By: SPSS Inc.     Published Date: Mar 31, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
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spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs
    
SPSS Inc.
Published By: SAS     Published Date: Mar 14, 2014
Stop to think about how - and how often - your business interacts with customers. Most organizations believe that only a small fraction of data on interactions generated are effectively put to use. Why is that? Check out this whitepaper to see.
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sas, voc, voice of customer, visual text analytics, best practices, customer voice, sound of sentiment, text data
    
SAS
Published By: SPSS     Published Date: Jun 30, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
Tags : 
spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs
    
SPSS
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
Tags : 
spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs
    
SPSS, Inc.
Published By: Pega     Published Date: Jun 21, 2016
IT leaders working on customer service projects must display an incredible amount of diligence. An organizationís CRM system has become its lifeline to customers, but as customer needs evolve so has the requirements of CRM. According to Gartner, todayís CRM solution must include a laundry list of capabilities outside its traditional core functionality including: native mobile support of the vendor's customer service and support business applications; real-time analytics; industry-specific functionality and workflow; context mining of voice and text; scalable cloud-based systems; social media engagement; suggested next agent action; multimodal capabilities, such as chat within mobile self-service; and even co-browsing. Gartner surveyed the CRM field and evaluated each vendor including Pegasystems.
Tags : 
    
Pega
Published By: Clarabridge     Published Date: Dec 06, 2006
This white paper describes how the Clarabridge Content Mining Platform avoids the pitfalls of previous approaches to unstructured analysis, and capitalizes on lessons learned from solving similar problems in the structured domain.
Tags : 
business intelligence, data warehousing, data mining, content integration, content management system, cms, business analytics, content mining
    
Clarabridge
Published By: Pega     Published Date: Jun 21, 2016
IT leaders working on customer service projects must display an incredible amount of diligence. An organizationís CRM system has become its lifeline to customers, but as customer needs evolve so has the requirements of CRM. According to Gartner, todayís CRM solution must include a laundry list of capabilities outside its traditional core functionality including: native mobile support of the vendor's customer service and support business applications; real-time analytics; industry-specific functionality and workflow; context mining of voice and text; scalable cloud-based systems; social media engagement; suggested next agent action; multimodal capabilities, such as chat within mobile self-service; and even co-browsing. Gartner surveyed the CRM field and evaluated each vendor including Pegasystems.
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Pega
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