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Peter Myers Bitwise Solutions Pty Ltd [email protected] http://www.linkedin.com/in/peterjsmyers Data Mining Enabled Predictive Analytics Role of Software Data Mining Proactive Predictive Analytics Interactive Data Model Ad hoc Reporting Passive Canned Reporting Presentation Exploration Discovery Business Insight Data Mining Enabled Predictive Analysis Seek Profitable Customers Correct Data During ETL Detect and Prevent Fraud Understand Customer Needs Data Mining Build Effective Marketing Campaigns Anticipate Customer Churn Predict Sales and Inventory Describing the Data Mining Process Business Understanding Data Understanding “Doing Data Mining” Data Preparation Data Deployment Modeling “Putting Data Mining to Work” Evaluation www.crisp-dm.org Design time Process time Query time Mining Model Design time Process time Query time Mining Model Data Mining Engine Training Data Design time Process time Query time Mining Model Data Mining Engine Predicted Data Data to Predict Continued Continued Continued Classify Estimate • Decision Trees • Logistic Regression • Naïve Bayes • Neural Networks • Decision Trees • Linear Regression • Logistic Regression • Neural Networks Cluster • Clustering Forecast Associate • Time Series • Association Rules • Decision Trees C++ App VB App OLE DB ADO .NET App ADO.NET Any App AMO Any Platform, Any Device WAN XMLA Over TCP/IP XMLA Over HTTP Analysis Server OLAP Data Mining Server ADOMD.NET Data Mining Interfaces .NET Stored Procedures Microsoft Algorithms Third-Party Algorithms http://channel9.msdn.com/Events/TechEd/Australia/2013 http://www.microsoftvirtualacademy.com/ http://technet.microsoft.com/en-au/ http://msdn.microsoft.com/en-au/ http://technet.microsoft.com/en-us/evalcenter/dn205290.aspx www.windowsazure.com http://www.windowsazure.com/en-us/documentation/services/hdinsight/?fb=en-us www.powerbi.com