Predictive Analytics for Business, Marketing and Web - May 8-9, June5-6

Discussion in 'microsoft.public.sqlserver.datamining' started by Elise Johnson, Apr 4, 2008.

  1. Predictive Analytics for Business, Marketing and Web is a concentrated
    training program that includes interactive breakout sessions.

    Dates: May 8-9 and June 5-6, 2008
    Location: San Francisco (May), New York City (June)
    Sponsor: Prediction Impact, Inc.
    Instructor: Eric Siegel, Ph.D.

    100% of October 2007 attendees rated this program Excellent or Very

    (This seminar is offered in conjunction with the eMetrics Marketing
    Optimization Summit.)

    **Early-bird special: Sign up one month ahead for $100 off the
    registration fee

    Business metrics do a great job summarizing the past. But if you want
    to predict how customers will respond in the future, there is one
    place to turn--predictive analytics. By learning from your abundant
    historical data, predictive analytics provides the marketer something
    beyond standard business reports and sales forecasts: actionable
    predictions for each customer. These predictions encompass all
    channels, both online and off, foreseeing which customers will buy,
    click, respond, convert or cancel. *If you predict it, you own it.*

    The customer predictions generated by predictive analytics deliver
    more relevant content to each customer, improving response rates,
    click rates, buying behavior, retention and overall profit. For online
    applications such as e-marketing and customer care recommendations,
    predictive analytics acts in real-time, dynamically selecting the ad,
    web content or cross-sell product each visitor is most likely to click
    on or respond to, according to that visitor's profile. This is AB
    selection, rather than just AB testing.

    In two days we cover:

    * The techniques, tips and pointers you need in order to run a
    successful predictive analytics and data mining initiative
    * How to strategically position and tactically deploy predictive
    analytics and data mining at your company
    * How to bridge the prevalent gap between technical understanding and
    practical use
    * How a predictive model works, how it's created and how much revenue
    it generates
    * Several detailed case studies that demonstrate predictive analytics
    in action and make the concepts concrete

    No background in statistics or modeling is required. The only specific
    knowledge assumed for this training program is moderate experience
    with Excel.

    For more information, visit,
    or e-mail us at . You may also call
    (415) 683-1146.
    Elise Johnson, Apr 4, 2008
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