Intro to Predixion Software - Real World Analytics
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Intro to Predixion Software - Real World Analytics



Intro deck for developers for Predixion Software

Intro deck for developers for Predixion Software



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  • Image credits: & are a PA software company focused on HealthcareOrange county – SalesRedmond – DevelopmentFounded by a team of highly successful Software executives Vision – remove barriers to PA and fill a gap in healthcare
  • Image credit:
  • Customer data is explored to uncover insights about human behavior and preferencesImage credit - models are built to predict the offer (products and/ or services) customers will respond toMarketing Lists are generated and shared with marketing team for campaign execution
  • Try it -

Intro to Predixion Software - Real World Analytics Presentation Transcript

  • 1. By SQL Server MVP Lynn Langit for Predixion Software Real World Predictive Analytics
  • 2. What is Predictive Analytics? Siegel defines predictive analytics as this: “Technology that learns from experience (data) to predict the future behavior of individuals in order to drive better decisions.”
  • 3. Who Builds Predixion Software? Predixion engineering team IS the former Microsoft predictive analytics & data mining team Founders identified key strategic gaps in the BigData & BI landscape Predixion works with partners – Accenture, Avanade, Microsoft, EMC and more
  • 4. What is the Vision of Predixion Software? Predictive analytics must be SIMPLER • Remove Complexity • Create usable Predictive Analytics for real people • Integrate with existing Microsoft tools (Excel, SQL Server, etc..) ALL Big Data & BI will be predictive • Enable Integration • Support Predictive Intelligence for many data scenarios Enterprises require END-TO-END solutions • Support Collaboration • Include usable Visualization tools • Enable model reuse via publishing
  • 5. What Is Predixion Insight? Server-based Predictive Applications / Models • In the Cloud –OR- • On Premises (Uses SQL Server SSAS) Modeled in Excel • Integrated Toolbars • Visual Macros in Excel and in SSIS Use Varied Data Sources • Excel, PowerPivot • SQL Server • Hadoop (future) Collaborate with Smart Output Viewers • Visualize results of analysis • Share results via email, comments, publishing
  • 6. Create Predictable Hospital Acquired Infection Preventative maintenance / predictions of failure Predictable Readmission Management One Platform, Many Solutions Market Profiling and Targeting B2B Next Best Action Customer / Member Retention Collaborate Consume
  • 7. Predixion Insight ServerEnterprise Data Sources Client Tools and/or Predixion API Connexion Deployment Predixion Cloud Architecture Private Cloud Excel 2007 – 2013 PowerPivot Add-in Predixion Insight Client Datasets, Models and Automation Framework PowerQuery Add-in (SAS, SPSS, R) Predixion PMML Connexion
  • 8. Predixion Insight ServerEnterprise Data Sources Client Tools and/or Predixion API Connexion Deployment Predixion On Premise Architecture SQL Server 2012 SSAS Excel 2007 – 2013 PowerPivot Add-in Predixion Insight Client Datasets, Models and Automation Framework PowerQuery Add-in (SAS, SPSS, R) Predixion PMML Connexion
  • 9. Some Customer Scenarios
  • 10. Healthcare: Preventable Hospital Readmissions • Hospital data is used to build a hospital-specific Predixion model • The Predixion model is then used to risk stratify patients upon admission • Risk scores are updated throughout the patient’s stay • Readmission risk scores are used by care givers to target appropriate patient care paths.
  • 11. Oil and Gas: High Velocity Streaming Predictions • Predixion model pushed into CEP (complex event processing)/Stream • Thousands of predictions scored per second in memory, near zero latency • Continuous processing of event streams from multiple sources • Gathers and preprocesses data into predictors for predictive models • Reports in real time on potential failures for preventative maintenance Streaming Sensor data Real Time Scoring Digital oilfield In streaming data scoring Preventative Maintenance
  • 12. Stop Guessing – Start Knowing: • Who are your best targets • What offers will your customers/prospects respond to • What action will improve business outcomes B2B: Next Best Offer / Action
  • 13. Predixion Clients
  • 14. Try it out
  • 15. Getting Started with Predixion Cloud-based Predictive Analytics • Simple to set-up • Install Excel add-in • Connect to Predixion Cloud Service On-premise Predictive Analytics • Requires local SQL Server • Must follow install instructions • Keeps all data on premises
  • 16. Getting setup DEMO
  • 17. Predixion Insight Platform Details
  • 18. Insight Now Ribbon in Excel
  • 19. Identifying Key Influencers
  • 20. Many Data Viewers • Decision Trees • TreeMap • Predictor • Application-level views • Many more • Displayed – in Excel or – in the browser
  • 21. Data Viewers in Browser
  • 22. Insight Now DEMO
  • 23. Insight Analytics Ribbon in Excel
  • 24. Create the Model from Excel
  • 25. Test the Model’s Accuracy
  • 26. Data + Probability Score
  • 27. Create ROI Analysis in Excel
  • 28. Insight Analytics DEMO
  • 29. Support in SQL Server 2012 • In-database scoring • Integration with SSIS
  • 30. Introduced in 3.0 Extensible Machine Learning Library Architecture • Pluggable to support Mahout and more In-place Scoring APIs • Support streaming APIs, such as StreamInsight • In-database scoring with SQL Server • Brings library to the data (like MapReduce) Marketplace • Reusable applications (by vertical)
  • 31. Machine Learning Semantic Model • PAX – Predictive Analytics Expressions • Example ‘Z-Score normalization’ • N = (v-average(v))/stdev(v) • Data Access • Insight Workbench
  • 32. Insight Workbench for building Applications
  • 33. PAX Functions
  • 34. Insight Workbench DEMO
  • 35. Predixion Marketplace
  • 36. Predixion Marketplace DEMO
  • 37. Looking Forward • Support for Mahout (Hadoop) • Support for R
  • 38. Learn More and Give Feedback • How to contact Predixion Software