1. Deliver Rich Analytics with Analysis Services SQL Server Donald Farmer Group Program Manager Microsoft Corporation

5. Analysis Services High-level Architecture Dashboards Rich Reports BI Front Ends Spreadsheets Ad Hoc Reports Analysis Services Cache SQL Server Teradata Oracle DB2 LOB DW Datamart XML/A or ODBO UDM

6. Analysis Services High-level Architecture SQL Server Teradata Oracle DB2 LOB DW Datamart Analysis Services Cache UDM XML/A or ODBO

8. The Unified Dimensional Model

10. Complete Set of Algorithms Introduced in SQL Server 2000 Linear Regression Text Mining Decision Trees Clustering Time Series Sequence Clustering Association Naïve Bayes Neural Net Logistic Regression

11. Putting Data Mining to Work Clustering Sequence Clustering Finding groups of similar items. For example, to segment demographic data into groups to better understand the relationships between attributes. Association Rules Decision Trees Finding groups of common items in transactions. For example, to use market basket analysis to suggest additional products to a customer for purchase. Sequence Clustering Predicting a sequence. For example, to perform a clickstream analysis of a company's Web site. Decision Trees Time Series Predicting a continuous attribute. For example, to forecast next year's sales. Decision Trees Naive Bayes Clustering Neural Network Logistic Regression Linear Regression Predicting a discrete attribute. For example, to predict whether the recipient of a targeted mailing campaign will buy a product. Microsoft Algorithms Task

12. Mining for Meaning

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