Predictive Analysis

A Research Paper On prophetical Analytics Submitted By Shankar Rajaraman (Stid# 11169413) [pic] MIS6309.0G1 Business selective information repositing with SAP School of forethought The University of Texas at Dallas July 19, 2009 Table of Contents 1.Introduction3 2.What Is prognostic Analytics?3 2.1Definitions3 2.2 predictive Analytics versus Data Mining4 2.3Predictive Analytics Architecture4 3.The Business set of Predictive Analytics5 3.1Competitive Advantage5 3.2Value Measures6 4.The Process of Predictive Modeling7 4.1Statistical Techniques/ Methods Involved8 5.Applications for Predictive Analytics8 5.1Cross-sell9 5.2Analytical customer Relationship Management (CRM)9 5.3Clinical Decision Support Systems9 5.4 found analytics10 5.5Customer retention (Churn)10 5.6Fraud detection10 5.7Direct trade11 6.Trends in Predictive Analytics11 7.Recommendations & Conclusions12 References Introduction T his research opus gives a glance of an boilers suit view of predictive analytics, its fulfil and methodology as applied in today’s corporate world.

In its simplest form, predictive analytics involves the use of business intelligence service tools and utilizes mathematical techniques to founder relationships in entropy and make predictions. It re founders a paradigmatic cant in the use of data-driven decisions to derive purposeful results that lend a competitive edge to businesses enhancing their core competency. In this paper , we cover the business value of predictive analytics in a data warehousing environment with its value measures and pres! ent a diminutive study of its various applications such as fraud detection, fill marketing etc. We examine the available barriers in its implementations and dissect the scope and future trends that propose to exploit these issues. Finally, we conclude with recommendations for overall improvement that could potentially reduce cost and...If you want to turn a full essay, order it on our website: OrderCustomPaper.com

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