Predictive Analysis

A Research Paper On prophetic Analytics Submitted By Shankar Rajaraman (Stid# 11169413) [pic] MIS6309.0G1 employment Data storage with SAP School of Management The University of Texas at Dallas July 19, 2009 board of Contents 1.Introduction3 2.What Is prognostic Analytics?3 2.1Definitions3 2.2Predictive Analytics versus Data Mining4 2.3Predictive Analytics Architecture4 3.The Business set of Predictive Analytics5 3.1Competitive Advantage5 3.2Value Measures6 4.The dish out of Predictive Modeling7 4.1Statistical Techniques/ Methods Involved8 5.Applications for Predictive Analytics8 5.1Cross-sell9 5.2Analytical guest Relationship Management (CRM)9 5.3Clinical conclusiveness Support Systems9 5.4 narrate analytics10 5.5Customer keeping (Churn)10 5.6Fraud detection10 5.7Direct trade11 6.Trends in Predictive Analytics11 7.Recommendations & Conclusions12 References Introduction This look for paper gives a glisten of an boilers suit view of prophetic analytics, its process and methodology as applied in today’s corporate world.

In its simplest form, prognosticative analytics involves the use of billet intelligence tools and utilizes mathematical techniques to give way relationships in entropy and fake predictions. It represents a paradigmatic buzzword in the use of information-driven decisions to do meaningful results that lend a competitive edge to businesses enhancing their plaza competency. In this paper , we hatch the business evaluate of predictive analytics in a data warehousing environment with its value measures and present a picayune study of its various applications such as fraud detection, involve marketing etc. We attend the operational barriers in its implementations and die the scope and future trends that take aim to solve these issues. Finally, we conclude with recommendations for boilersuit improvement that could potentially stifle costs and...If you want to binge a full essay, order it on our website: Ordercustompaper.com

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