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 perplexity The University of Texas at Dallas July 19, 2009 Table of Contents 1.Introduction3 2.What Is prognostic Analytics?3 2.1Definitions3 2.2 prognostic 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 locate 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 wallpaper gives a glance of an boilers suit view of predictive analytics, its bear upon and methodology as applied in today’s corporate world.

In its simplest form, predictive analytics involves the use of business tidings tools and utilizes mathematical techniques to founder relationships in entropy and make predictions. It re drive homes a paradigmatic cant in the use of data-driven decisions to derive substantive 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 e nvironment with its value measures and prese! nt a diminutive study of its various applications such as fraud detection, fill marketing etc. We examine the useable barriers in its implementations and dissect the scope and future trends that propose to crop 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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