TechNet Webcast: Getting Started with Data Mining (Level 200)  

Join this webcast for a comprehensive overview of data mining from a database development perspective. We begin with a discussion of the business value and uses of data mining, such as prediction and forecasting. Learn how to detect anomalies, and how to recognize scenarios for which Microsoft data mining technology is best suited. Using a typical business-driven approach to data mining, we show how to identify data mining opportunities, and cover the practical elements needed to make it work well, such as data preparation, model building, and validation. We then examine the output, consider different implementation methods, and conclude with recommendations on how to maintain your data mining solution.

Presenter: Warren Thornthwaite, Speaker, Kimball Group

Warren Thornthwaite has been building decision support and data warehousing systems since 1980. Warren worked at Metaphor for eight years, where he managed the consulting organization and implemented many major data warehouse systems. After Metaphor, Warren managed the enterprise-wide data warehouse development at Stanford University. He then cofounded InfoDynamics, LLC, a data warehouse consulting firm. Warren joined up with Microsoft WebTV to help build a multi-terabyte, customer-focused data warehouse before returning to consulting.

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View other sessions from Business Intelligence with SQL Server 2005: Transform Data into Decisions.


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