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Leveraging BI and Predictive Analytics to deliver Real time forecasting


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Healthcare CIO summit, Dallas, February 2013

Published in: Economy & Finance
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Leveraging BI and Predictive Analytics to deliver Real time forecasting

  1. 1. Leveraging BI and Predictive Analytics to deliver Real time forecasting Shyam Desigan CFO & Sr. VP of IT American Academy of Physician Assistants CIO Healthcare Summit, Dallas, TX February 2013
  2. 2. The second-fastest-growing health profession in the next decade 86,500 Number of certified PAs in 2012, according to the National Commission on Certification of Physician Assistants 83,600 Employment in 2010 108,300 Projected employment in 2020
  3. 3. Membership 43,495Number of AAPA Members 31,756 PA Members 11,739 PA Student Members
  4. 4. Top 4 Primary Work Settings for a PA • Hospitals 39.4% • Single-Specialty Physician Groups 19.7% • Solo Physician Practice 11% • Multi-Specialty Physician Group 9.5%
  5. 5. Top 3 Primary PA Specialties• Family medicine 24.8%• Other Surgical sub specialties 23.2%• Internal Medicine sub specialties 10.3%
  6. 6. The Forecasting Challenge • Can you gather all your data in one place, so you can analyze it? • Can you refresh this data in real time? • Can you query the data and see immediate results?ERP • Does this system have intuitive user interfaces that can Databases be used by anyone? • Can you do this without IT? • Is it fast to deploy and affordable? CRM Spreadsheets SCM CPM
  7. 7. Business Intelligence Business Monitoring Reporting Intelligence What is happening? What happened? Corporate Performance Management Forecasting Analytics What will happen? Why did it happen? Budgeting & Planning What should happen?
  8. 8. Better BI & FP&A In the Cloud augments limited flexibility with existing systems Low entry cost and no requirements for capital expenditure Rapid deployment and self-service; no requirement for IT involvementIntegrates securely and easily with any other application, platform, environment
  9. 9. Adaptive Planning Analytics Platform
  10. 10. Analyze revenue and expense drivers
  11. 11. Drill-Down into KPIs
  12. 12. What-If Scenarios
  13. 13. Why Visualization?
  14. 14. Highly Visual Graphics to Aid in Quick UnderstandingRevenue Trend On Time Delivery New Sales PipelineIncident Type Production Trend Financial Status
  15. 15. Visualize Trends
  16. 16. Glean Insights from Dashboards• Visualize KPIs• Get Visual & Email Alerts• Analyze & Perform What-If Scenarios• Collaborate• Personalize
  17. 17. Business Discovery: Business User-Driven BI Remixability App Model and Reassembly Social and Collaborative Insight MobilityEverywhere IT Production Finance HR Marketing Sales
  18. 18. QlikView Business Discovery Presentation Layer Marketing Finance OperationsPresentation Sales QLIKVIEW Windows IIS BUSINESS DISCOVERY APPS WEBSERVER BUSINESS USERSApplication Data / Business IT Admins Analysts Developers QLIKVIEW QVW; QVD files SERVER QLIKVIEW Windows QLIKVIEW MANAGEMENT Based QLIKVIEW DEVELOPERData Access CONSOLE File Share PUBLISHER (Optional) Custom connectors; ODBC; Security Third-Party OLEDB; QVX; XML Integration: Integration: • Windows Server • Informatica EXCEL SQL SAP ERP • Tivoli Software • Dell • IBM • Boomi • Sybase DATA ORACLE SALESFORCE INFORMATICA • and many more… WAREHOUSE OPERATIONAL DATA SOURCES
  19. 19. iDiscover for AAPA
  20. 20. AAPA – Member Geo Analysis
  21. 21. AAPA Financial Ratio Trends
  22. 22. SPSS Modeler for predictive analytics
  23. 23. Leveraging SPSS Modeler• We utilize SPSS Modeler to create predictive models with our structured data, including splitting, resampling and variable creation• Developing predictive models including decision trees, support vector machines and ensemble methods• Visualization: Exploratory Data Analysis (EDA), and tools that persuade• Evaluating predictive models, including viewing lift curves, variable importance and avoiding overfitting
  24. 24. AAPA Backend Data Roadmap
  25. 25. Questions? # cubiczan