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From Text to Business Insight: All about Enterprise Text Analytics
Text analytics automates the extraction of business value from Web sites and social media content, from e-mail and survey responses, to regulatory filings and

text analytics  Insight: All about Enterprise Text Analytics Text analytics automates the extraction of business value from Web sites and social media content, from e-mail and survey responses, to regulatory filings and corporate documents. These sources and others capture information from and about customers, prospects, products, companies, and competitors in human readable form. Download this white paper for a handy guide to understanding—and profiting from—enterprise text analytics. Read More

Recruitment and Staffing
Recruitment and Staffing functionality allows the user to select and hire the right people with the right skill sets, as well as track the information regarding their recruitment for later analysis...
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Documents related to » text analytics


Content Raven Launches Marketing Analytics
Content Raven, a cloud-based file distribution toolkit that adds content control, security, and analytics to files, has announced the addition of Marketing

text analytics  all common file types (text, PDF, audio, and video) to determine how recipients engage with the content—for example, how often they view it, and on what devices. It will offer marketing professionals relevant analytics on which content performs best, providing insight on when to connect with leads and how to customize and improve collateral for the lead nurturing process and future engagement.   Engagement analytics can be used to fine-tune marketing messaging midcampaign, improve future campaigns, Read More
In-Memory Analytics: A Multi-Dimensional Study
The primary bottleneck to high-performance multidimensional analysis has been slow hard drive speed—the time it takes for data to be transferred from disk

text analytics  analysis, data mining, and text mining. Analytic applications are most often built on large volumes of data and this presents a significant demand on memory. Such applications are also anchored on complex data structures that emulate business models. As business models change, corresponding data structures also have to change. Every structural change requires costly time and effort to re-design and re-optimize. This article examines how in-memory technology is transforming OLAP by the convergence of Read More
Mobile Business Intelligence & Analytics
The convergence of business intelligence (BI) and mobility has been well under way for some time. As more professionals begin using smart phones and other

text analytics  change without notice. This text contains proprietary information, which is protected by copyright. All rights are reserved. No part of this document may be photocopied, reproduced, stored in a retrieval system, transmitted in any form or by any means, or translated into another language without the prior written consent of Yellowfin International Pty Ltd. The incorporation of the product attributes discussed in these materials into any release or upgrade of any Yellowfin software product - as well as Read More
Analytics Software Suite
The complete suite of Angoss desktop and client-server software products @ with big data and text analytics capabilities @ delivers recommendations for

text analytics  with big data and text analytics capabilities – delivers recommendations for actionable and effective sales-driven and risk mitigation business decisions. Read More
Achieving customer loyalty with customer analytics
In this white paper, learn how organizations like yours are using customer analytics to build and sustain customer loyalty. Customer analytics helps answer key

text analytics  customer loyalty with customer analytics In this white paper, learn how organizations like yours are using customer analytics to build and sustain customer loyalty. Customer analytics helps answer key questions about who your customers are, what they want and will do next, and which actions and strategies are most likely to generate loyalty. It’s a powerful and innovative technology, but still operates on the traditional business axiom that customer loyalty begins with customer satisfaction. Read More
Minimize Customer Churn with Analytics
With IBM Business Analytics solutions for customer churn, communications service providers (CSPs) can understand sentiment and identify social influencers

text analytics  Customer Churn with Analytics With IBM Business Analytics solutions for customer churn, communications service providers (CSPs) can understand sentiment and identify social influencers, analyze structured and unstructured content to predict the likelihood of churn, drive revenue through personalized offers and tailored bundles, and create new programs to attract new customers and boost average revenue per user. Read More
Voice of the Customer Analytics
Verint Voice of the Customer Analytics solutions provide a solution set to centralize customer feedback across channels, interpret it in the context of

text analytics  interpret it in the context of business objectives, then act upon it to drive change. These solutions can provide an organization with critical data for rapid, targeted decision making, by analyzing and combining customer data from both direct (speech analytics, chat, e-mail) and indirect sources (social media) to gain a holistic view of the customer experience—down to the individual customer level. Read More
Workforce Analytics: Changing and Winning the Game
Human resources (HR) is an increasingly strategic player in gaining a competitive advantage, especially in terms of workforce analytics. But HR organizations

text analytics  scorecard tools to deliver contextually relevant data in the most usable format, saving users valuable time. This also allows them to spot trends and model/simulate future strategies based on their role. Respond—As the final step, users can react to this newfound information and make changes in the organization to drive increased business results. For example, HR can adjust recruiting functions, performance management, learning, and compensation to drive true results. And then report back to executives Read More
Host Analytics, Inc.
Host Analytics was founded in 2000 with the mission to help businesses make better operational and financial decisions via the understanding of their past and

text analytics  Analytics, Inc. Host Analytics was founded in 2000 with the mission to help businesses make better operational and financial decisions via the understanding of their past and present financial performance, along with what-if scenarios for the future. Host Analytics was the first corporate performance management vendor to launch a software-as-a-service product. Read More
Measure, Analyze, and Manage: Optimizing Marketing Results with Business Analytics
By adopting a data-driven approach that incorporates business intelligence (BI), predictive analytics and performance management capabilities, marketing

text analytics  Analyze, and Manage: Optimizing Marketing Results with Business Analytics By adopting a data-driven approach that incorporates business intelligence (BI), predictive analytics and performance management capabilities, marketing executives can empower their teams to measure, analyze, and manage marketing efforts for greater effectiveness and contribution to top line revenue growth. These advanced analytics techniques help marketers harness all of their data, detect patterns of customer behavior, and Read More
Rosslyn Analytics Partners with Differentia Consulting
Under the terms of the newly announced partnership with Rosslyn Analytics, Differentia Consulting, one of the United Kingdom’s largest technology consultancies

text analytics  Analytics Partners with Differentia Consulting Under the terms of the newly announced partnership with Rosslyn Analytics , Differentia Consulting, one of the United Kingdom’s largest technology consultancies and QlikTech’s largest UK partner, will develop QlikView apps using Rosslyn Analytics’ cloud-based RAPid enterprise data enrichment platform for clients in the UK and Ireland and their associated global affiliates.  The important bit here is that Rosslyn has brought QlikView business Read More
Using Predictive Analytics within Business Intelligence: A Primer
What are predictive analytics, and how are they used within business intelligence applications and for business performance management?

text analytics  neural nets, genetic algorithms, text mining, hypothesis testing, decision analytics, and so on. The core element of predictive analytics is the predictor, a variable that can be measured for an individual or entity to predict future behavior. These predictors are based on models that are created to use the analytical capabilities within the generated predictive models. Descriptive models classify relationships by identifying customers or prospective customers, and placing them in groups based on Read More
Predictive Analytics for Business Advantage
Today, predictive analytics is used mostly in marketing and sales for help in retention, cross-sell/upsell, and direct marketing efforts. But change is coming

text analytics  Analytics for Business Advantage Today, predictive analytics is used mostly in marketing and sales for help in retention, cross-sell/upsell, and direct marketing efforts. But change is coming, and in this infographic from TDWI, learn how organizations are planning to use predictive analytics in new ways. Read More
Using Predictive Analytics within Business Intelligence: A Primer
What are predictive analytics, and how are they used within business intelligence applications and for business performance management?

text analytics  neural nets, genetic algorithms, text mining, hypothesis testing, decision analytics, and so on. The core element of predictive analytics is the predictor, a variable that can be measured for an individual or entity to predict future behavior. These predictors are based on models that are created to use the analytical capabilities within the generated predictive models. Descriptive models classify relationships by identifying customers or prospective customers, and placing them in groups based on Read More

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