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Proforma tech sfo march 2013

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Proforma tech sfo march 2013

  1. 1. Turning Operational outcomemetrics into actionablepredictive forecasting modelShyam DesiganCFO & Sr. VP of IT, American Academyof Physician Assistants1 © 2013 Proformative
  2. 2. The second-fastest-growing health profession in the nextdecade 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 20202 © 2013 Proformative
  3. 3. 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 20203 © 2013 Proformative
  4. 4. Membership 43,495 Number of AAPA Members 31,756 PA Members • 11,739 • PA Student Members4 © 2013 Proformative
  5. 5. 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 © 2013 Proformative
  6. 6. Top 3 Primary PA Specialties •Family medicine 24.8% • Other Surgical sub specialties 23.2% • Internal Medicine sub specialties 10.3%6 © 2013 Proformative
  7. 7. The Forecasting Challenge • Can you gather all your data in one place, so you can analyze it? • What are the revenue and expense drivers? • Can you query the data and see immediate results? ERP Databases • What are the operating dependencies? • Can line managers leverage BI to drive operational changes and can Finance quantify the impact of these variables? • Is it fast to deploy and affordable? CRM Spreadsheets SCM CPM7 © 2013 Proformative
  8. 8. 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?© 2013 Proformative
  9. 9. Better BI & FP&A In the Cloud augments limited flexibility withexisting systems Low entry cost and no requirements for capital expenditure Rapid deployment and self-service; no requirement for IT involvement Integrates securely and easily with any other application, platform, environment © 2013 Proformative
  10. 10. Adaptive Planning Analytics Platform © 2013 Proformative
  11. 11. Analyze revenue and expense drivers © 2013 Proformative
  12. 12. Drill-Down into KPIs © 2013 Proformative
  13. 13. What-If Scenarios © 2013 Proformative
  14. 14. Why Visualization? © 2013 Proformative
  15. 15. Highly Visual Graphics to Aid in Quick UnderstandingRevenue Trend On Time Delivery New Sales PipelineIncident Type Production Trend Financial Status © 2013 Proformative
  16. 16. Visualize Trends © 2013 Proformative
  17. 17. Glean Insights from Dashboards• Visualize KPIs• Get Visual & Email Alerts• Analyze & Perform What-If Scenarios• Collaborate• Personalize © 2013 Proformative
  18. 18. Business Discovery:Business User-Driven BI Remixability App Model and Reassembly Social and Collaborative Insight Mobility Everywhere IT Production Finance HR Marketing Sales © 2013 Proformative
  19. 19. 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 © 2013 Proformative
  20. 20. © 2013 Proformative
  21. 21. iDiscover for AAPA © 2013 Proformative
  22. 22. AAPA – Member Geo Analysis © 2013 Proformative
  23. 23. AAPA Financial Ratio Trends © 2013 Proformative
  24. 24. SPSS Modeler for Predictive analytics © 2013 Proformative
  25. 25. 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 © 2013 Proformative
  26. 26. Leveraging SPSS Modeler• We can apply record selection, sampling (including clustered and stratified sampling), merging (including inner joins, full outer joins, partial outer joins, and anti-joins), sorting, aggregation and balancing• Choose from options for data restructuring, partitioning and transposition• Select from extensive string functions: string creation, substitution, search and matching, whitespace removal and truncation• Apply RFM scoring: aggregate customer transactions to provide Recency, Frequency, and Monetary value scores and combine these to produce a complete RFM analysis © 2013 Proformative
  27. 27. Modeling Algorithms• Apriori – Popular association discovery algorithm with advanced evaluation functions• Bayesian Networks – Graphical probabilistic models• CHAID & QUEST – Decision tree algorithms including interactive tree building• CARMA – Association algorithm which supports multiple consequents• K-Means, Kohonen, Two Step, Discriminant, Support Vector Machine (SVM) – Clustering and segmentation algorithms• Regression, Linear, GenLin (GLM), Generalized Linear Mixed Models (GLMM) – Linear equation modeling• Time-series – Generate and automatically select time-series forecasting models © 2013 Proformative
  28. 28. &28 © 2013 Proformative
  29. 29. Thank You For AttendingTurning Operationaloutcome metrics intoactionable predictiveforecasting modelCPE Code For This Session: “___________”29 © 2013 Proformative

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