Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
DEVELOPING PREDICTIVE MODELS       USING SAS RAPID PREDICTIVE MODELER (RPM)                                             TR...
PREDICTIVE   MODELS
EXTERNAL          CHALLENGES IN ANALYTICS ADOPTIONVIEWPOINT
EXTERNAL          CHALLENGES IN ANALYTICS ADOPTIONVIEWPOINT
EXTERNAL          TALENT GAP IN THE UNITED STATES BY 2018VIEWPOINT                                                        ...
SAS RAPID    PREDICTIVE      MODELER• For business analysts, and statisticians/data miners• Comes with pre-built data mini...
ANALYTICSLIFECYCLE                               Formulate                                Problem                     Moni...
DEMONSTRATION     SCENARIO•   Business problem: improve the targeting of leads provided to the Fraudulent                 ...
DEMO
RECAP•   For business analysts, and statisticians/data miners•   Quickly create robust and reliable predictive models•   P...
FUTURE RPMENHANCEMENTS•   Interactive segmentation (e.g. RFM models)•   Market Basket Analysis•   SAS Visual Analytics
Data Analyst
THANKYOU
Upcoming SlideShare
Loading in …5
×

Sunz2013 troy kusabs

356 views

Published on

  • Be the first to comment

  • Be the first to like this

Sunz2013 troy kusabs

  1. 1. DEVELOPING PREDICTIVE MODELS USING SAS RAPID PREDICTIVE MODELER (RPM) TROY KUSABS BUSINESS SOLUTIONS SPECIALIST, SAS
  2. 2. PREDICTIVE MODELS
  3. 3. EXTERNAL CHALLENGES IN ANALYTICS ADOPTIONVIEWPOINT
  4. 4. EXTERNAL CHALLENGES IN ANALYTICS ADOPTIONVIEWPOINT
  5. 5. EXTERNAL TALENT GAP IN THE UNITED STATES BY 2018VIEWPOINT 140 - 190 440 - 490 180 30THOUSAND PEOPLE 300 50 - 60% gap relative to 2018 supply 150 2008 Graduates with Others 1 2018 supply Talent gap 2018 projected employment deep analytical demand talent
  6. 6. SAS RAPID PREDICTIVE MODELER• For business analysts, and statisticians/data miners• Comes with pre-built data mining templates• Produces easy-to-interpret charts• Models are easily deployed
  7. 7. ANALYTICSLIFECYCLE Formulate Problem Monitor Gather Results Data Data Deploy Quality Model Analysis Validate Transform Model & Select Modeling
  8. 8. DEMONSTRATION SCENARIO• Business problem: improve the targeting of leads provided to the Fraudulent Claims team Rules Based Selection With RPM Predictive Model 22,223 15,556 5,505 5,450 55 25% hit-rate Case Savings 35% hit-rate 6,667 per year
  9. 9. DEMO
  10. 10. RECAP• For business analysts, and statisticians/data miners• Quickly create robust and reliable predictive models• Produces easy-to-interpret charts• Models are easily deployed into the business• SAS Enterprise Guide, MS Excel and SAS Enterprise Miner
  11. 11. FUTURE RPMENHANCEMENTS• Interactive segmentation (e.g. RFM models)• Market Basket Analysis• SAS Visual Analytics
  12. 12. Data Analyst
  13. 13. THANKYOU

×