BI SIG: Secrets of Predictive Analytics for CRM

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Description

  • This talk will investigate the factors required for creating a successful predictive analytics solution.

     

    Presenter

    Rob Cooley, US Technical Director, KXEN Inc

    Click here to view the meeting presentation.
    Click here to view the meeting write-up.

     

    Presentation Overview

    Secrets of Predictive Analytics for CRM

    Predictive Analytics, or “data mining” can be used to optimize every facet of CRM. However, it may raise issues for business managers looking to leverage predictive analytics in their enterprises, IT specialists tasked with implementing an analytics solution, and software engineers trying to integrate predictive analytics into an existing platform.



    To produce a positive ROI, a solution must answer a wide range of business questions in a timely manner, make the answers immediately accessible to users, and easily integrate with existing applications. How do you accomplish all this? This talk will investigate the factors required for creating a successful predictive analytics solution.



     

    About the Presenter

    Rob Cooley

    Dr. Cooley received his Ph.D. in Computer Science from the University of Minnesota in 2000. He has over a decade of experience mining and analyzing data in a variety of fields, including CRM, E-commerce, text, and nuclear engineering. His Ph.D. dissertation is a seminal work in Web Mining, and his papers are often quoted on Web Usage Mining and pre-processing for Web Mining. Currently, he is responsible for the U.S. technical operations, training, and support for KXEN Inc., a data mining software company.



    Dr. Cooley started his career as a US Naval Officer, doing project management for nuclear submarines. As a software engineer at Mitre Corporation he designed and delivered text mining software, to create understandable topic descriptions from intelligence reports. Prior to joining KXEN, Dr. Cooley was the Director of Data Mining for Outride Inc., a Xerox PARC spin-off specializing in personalized search technologies. He holds an M.S. in Computer Science from the University of Minnesota, an M. Eng in Nuclear Engineering from the Bettis Reactor Engineering School, and a B.S. in Civil Engineering from Cornell University.



     

    Event Logistics

    Location

    Lucie Stern Center

    Community Room

    1305 Middlefield Rd.

    Palo Alto, CA

    Agenda

    6:30-7:00pm registration/networking/refreshments (please arrive before 7:00 PM)

    7:00-8:30pm presentation and discussion

     

    Cost

    $15 for non-SDForum Members

    No charge for SDForum members and students with ID

    No registration required





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