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Sentiment analysis and scoring allows for the consistent rating of positive or negative assertions that are associated with a document or entity. This paper will demystify sentiment scoring and explain how the Lexalytics sentiment engine powering Angoss Text Analytics works. This includes a discussion of how and why the basic concept of document sentiment has been extended to the paragraph and entity level, and how this technology is being further extended to measure other indicators within content, including the assessment of threat, customer satisfaction and many other contextual indicators.
 

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How and where can you apply predictive strategies in your business? The use of data mining and predictive analytics by organizations continues to grow as businesses attempt to tap into their customer and enterprise data to improve business decisions including those related to strategy – when, where and how to play to win. Usage of predictive models as an integral part of optimized, automated decisions is becoming more prevalent in all areas of business. StrategyBUILDER with its Strategy Trees, provides business analysts the ability to design and deploy predictive strategies for better business decisioning. This white paper describes several illustrative scenarios and some common uses of predictive analytics to improve business decisions including those related to strategy. Scenarios include marketing campaign development, sales productivity, credit line application, and fraud mitigation.

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Data mining is the process of applying business intelligence software tools to business data in order to create predictive models. Organizations are able to better understand and continuously optimize key business drivers to improve performance through this process of relationship identification and pattern detection.To meet these requirements, Angoss provides organizations with a set of data mining and predictive analytics software tools that are easy to use, robust in functionality and seamlessly integrate with your existing processes, technology platforms and enterprise business analytics and decision management systems.

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With more than 30 years of investment experience and more than $85 billion in assets under management (AUM), this leading mutual funds management company is no stranger to the unique and multi-faceted challenges of growing and retaining assets through a large and diversified financial advisors network. The company selected FundGUARD for its simplicity, versatility and quality. As a result, it has realized significant growth in AUM and improved sales productivity.

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Capital Card Services provides industry-leading servicing and portfolio management to meet the needs of credit card issuers across the United States to over 500,000 cardholder accounts. The company wanted to apply data analysis software and predictive analytics to its business model in order to meet its strategic objectives of improved efficiencies and productivity.

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A savvy analytical software consumer, Sainsbury's Finance department understands the value of its customer data. The company has been active in leveraging this rich information source for customer acquisition, retention and cross-sell/upsell. With millions of customers in its database, the company required an analytics solution that was fast, flexible, user-friendly and capable of handling large volumes of data. After rigorously evaluating many software options, Sainsbury’s Finance selected KnowledgeSTUDIO for its superior quality in all categories.

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