Predictive Analysis

A Research Paper On prophetical Analytics Submitted By Shankar Rajaraman (Stid# 11169413) [pic] MIS6309.0G1 Business info repositing with SAP School of way 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 nightclub analytics10 5.5Customer retention (Churn)10 5.6Fraud detection10 5.7Direct trade11 6.Trends in Predictive Analytics11 7.Recommendations & Conclusions12 References Introduction This research story gives a glance of an boilers suit view of predictive analytics, its do and methodology as applied in today’s corporate world.

In its simplest form, predictive analytics involves the use of business news show tools and utilizes mathematical techniques to founder relationships in entropy and make predictions. It re positions a paradigmatic cant in the use of data-driven decisions to derive significant 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 measu res and present a diminutive study of its v! arious applications such as fraud detection, fill marketing etc. We examine the operable barriers in its implementations and dissect the scope and future trends that propose to assoil these issues. Finally, we conclude with recommendations for overall improvement that could potentially reduce be and...If you want to turn a full essay, order it on our website: OrderCustomPaper.com

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