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Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
Microsoft Predictive Analytics
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Microsoft Predictive Analytics

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This presentation covers predictive analytics with Microsoft Excel, Data Mining Add-In and SQL Server.

This presentation covers predictive analytics with Microsoft Excel, Data Mining Add-In and SQL Server.

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  • 1. PREDICTIVE ANALYSISWITH SQL SERVER Jen Underwood Technology Specialist Microsoft Corporation
  • 2. Role of Software Proactive Data MiningInteractive OLAP Ad-Hoc Reporting Canned Reporting Passive Business Insight Presentation Exploration Discovery
  • 3. Inform Common Business Decisions with Actionable Insight Seek Profitable Customers Estimate Understand Survey Customer Results Needs Predictive Analysis Funnel Anticipate Marketing Customer Campaigns Churn Predict Sales & Inventory
  • 4. Part of SQL Server Analysis Services• Pervasive Delivery • Native Reporting • Predictive through Microsoft Integration Programming Office • In-Flight Mining • Custom Algorithms• Comprehensive during Data and Visualizations Development Integration Environment • Insightful Analysis• Enterprise Grade Capabilities • Predictive KPIs• Rich and Innovative Algorithms
  • 5. Pervasive Delivery through Microsoft Office Comprehensive • Empower all users with predictive analysis capabilities • Enable advanced users with more validation and control Intuitive Collaborative • Enable complex data • Share analysis through mining through simple, interactive graphical automated tasks visualizations • Reduce the learning- • Share insight with clear curve with a familiar and prompt publishing environment capabilities • Deliver actionable insight with clear graphical visualizations
  • 6. “What Microsoft has done is to make data mining available on thedesktop to everyone”- David Norris, Associate Analyst, Bloor Research
  • 7. • Analyze Key Influencers• Detect Categories• Fill From Example• Forecast• Highlight Exceptions• Scenario Analysis• Prediction Calculator• Shopping Basket Analysis
  • 8. Full Development Lifecycle within Excel
  • 9. Comprehensive Development Environment
  • 10. Enterprise Grade Capabilities Superior Performance and Scalability Robust High Security Availability Features Rapid EnhancedDevelopment Analysis Services Manageability
  • 11. Rich and Innovative Algorithms  Algorithms to solve Traditional Algorithms common business problems such as Innovative Algorithms ARIMA  Market Basket Analysis from Microsoft  Churn Analysis Research  Market Segment Analysis  Forecasting  Data Exploration  Unsupervised Learning  Web Site Analysis  Campaign AnalysisBroad Range of Choices to Build Optimal Models  Information Quality  Text Analysis
  • 12. Algorithm DescriptionDecision Trees Calculates the odds of an outcome based on values in a training setAssociation Helps identify relationships between various elements.RulesNaïve Bayes Clearly shows the differences in a particular variable for various data elementsSequence Groups or clusters data based on a sequence of previous eventsClusteringTime Series Analyzes and forecasts time-based data combining the power of ARIMA for long- term prediction and the power of ARTXP (developed by Microsoft Research) for short-term prediction. Together optimizing prediction accuracyNeural Nets Seeks to uncover non-intuitive relationships in dataText Mining Analyzes unstructured text dataLinear Determines the relationship between columns in order to predict an outcomeRegressionLogistic Determines the relationship between columns in order to evaluate the probabilityRegression that a column will contain a specific state
  • 13. Native Reporting Integration
  • 14. Prediction Query SyntaxSELECT <select expression list>FROM <data mining model> | <sub select> [NATURAL] PREDICTION JOIN<source data query> [ON <join mapping list>][WHERE <condition expression>]
  • 15. Automate Data Mining During Data Integration
  • 16. Insightful Analysis
  • 17. Predictive KPIsIntegration with Microsoft Office PerformancePoint Server
  • 18. Predictive Programming • Create a built-in recommendation engine Automatic • Update models based on Data most recent data Mining • Warn for flawed data on-the- fly Incorporate • Display leading indicators for predictive analysis factors/metrics into your business Pattern • Identify profile for applications Exploration churning/high-value through customerscomprehensive APIs ? • Recommend relevant products • Anticipate customer Prediction risk/churn • Focus promotions on customers with a high expected life-time value
  • 19. Data Mining APIsPlug-in Algorithms • Add custom data mining algorithms • Redistributable Viewer - embed standard visualizations in your application Visualizations • Plug-in Viewer APIs - embed custom visualizations in your application PMML • Exchange models with other software vendors XMLA • Industry standard metadata Data mining • SQL-like query languageExtensions (DMX) ADOMD.NET • Access and query models from clients or stored procedures and OLE DB AMO • Management interfaces
  • 20. 64-Bit Office Data Mining Add-InEnhanced Mining Structures • Split data into training and testing partitions more effectively • Query against structure data to present complete information beyond the scope of the model • Build models over filtered data • Create incompatible models within the same structure • Use cross-validation to: o Test multiple models simultaneously o Confirm the stability of results given more or less dataBetter Time Series Support • Accuracy & Stability o Combine best of both worlds blending ARTXP for optimized near-term predictions and ARIMA for stable long term predictions • Prediction Flexibility o Build a forecasting model on one series and apply the patterns to data from another series. • What If o Anticipate the impact of changes in near-term future values, on long-term forecastsMore Data Mining Add-Ins for Office • New Analysis Tools o Generate interactive forms for scoring new cases with Prediction Calculator o Discover the relationship between items, which are frequently purchased together with Shopping Basket Analysis • New Query and Validation Tools o Choose training and test sets from mining structures o Render richly-formatted cross validation and accuracy reports in Excel o Leverage model documentation for reference and collaboration
  • 21. • Pervasive Delivery through Microsoft Office empowers all users with predictive insight• Comprehensive Development Environment delivers an intuitive and rich environment• Enterprise Grade Capabilities provide enhanced server advantages• Rich and Innovative Algorithms support common business problems effectively• Native Reporting Integration seamlessly infuses prediction into reports• In-Flight Mining during Data Integration dynamically enhances data quality & relevance• Insightful Analysis enables to slice data by the hidden patterns within• Predictive KPIs extend monitoring with insights to future performance• Predictive Programming embeds prediction within the application• Custom Algorithms & Visualizations provide the flexibility to meet uncommon needs
  • 22. © 2011 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista, and other product names are or may be registered trademarks and/ortrademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporationas of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

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