1. GETTING YOUR COLLEGE HIRES JOB READY Jillian Payne, Director Analytic Development Program

2. 222 © 84.51° 2015 | Confidential We believe in making people’s lives easier by putting the customer at the center of everything we do WHO IS 84.51°

3. 333 © 84.51° 2015 | Confidential 3 ANALYSTS AT 84.51° 75% of the day is spent programming

4. 444 © 84.51° 2015 | Confidential 4 GREAT ANALYSTS BALANCE TECHNICAL COMPETENCY WITH COMMERCIAL ACUMEN

5. 555 © 84.51° 2015 | Confidential 5 WE CLUSTERED OVER 40 ANALYST SKILLS INTO DIMENSIONS ALL COMPANY GENERAL ANALYSIS DATA SCIENCE METHODOLOGY PRODUCT ENGINEERING BUSINESS Understanding 84.51 capabilities Problem Solving Data usage Data mining & manipulation Diagnostics/ troubleshooting Programming Languages Data integration & interpretation Business & commercial acumen Story telling Data visualization Product development Data modeling Classical statistics Multivariate statistics / choice-based techniques Sampling methods Big data Machine learning Theoretical mathematics

6. 666 © 84.51° 2015 | Confidential 6 MOST COLLEGE HIRES DON’T HAVE ALL OF THESE SKILLS, BUT THEY HAVE POTENTIAL We can hire based on potential and train them to do what we need them to do

7. 777 © 84.51° 2015 | Confidential 7 PROJECT INTAKE WEEKS 10+ PROJECT SHADOWING WEEKS 8+ TRAINING WEEKS 1-8 BUSINESS ROLE ALIGNMENT MONTHS 4-6 WE GET ANALYSTS READY TO ADD VALUE TO THE BUSINESS IN 4-6 MONTHS

8. 888 © 84.51° 2015 | Confidential 8 THE ANALYST DEVELOPMENT PROGRAM FOCUSES ON BUILDING THE FOUNDATION ALL COMPANY GENERAL ANALYSIS DATA SCIENCE METHODOLOGY PRODUCT ENGINEERING BUSINESS Understanding 84.51 capabilities Problem Solving Data usage Data mining & manipulation Diagnostics/ troubleshooting Programming Languages Data integration & interpretation Business & commercial acumen Story telling Data visualization Product development Data modeling Classical statistics Multivariate statistics / choice-based techniques Sampling methods Big data Machine learning Theoretical mathematics We focus on building 18 fundamental 84.51°analysis skills

9. 999 © 84.51° 2015 | Confidential 9 TRAINING COURSES ARE DESIGNED AND CHOSEN TO DEVELOP THESE PROFICIENCIES TRAINING COURSES Sector Overviews Case Studies Capability Spotlight: #lifeofananalyst ADP Alumni Panels ALL COMPANYGENERAL ANALYSISBUSINESS Understanding 84.51 capabilities Problem Solving Data usage Data integration & interpretation Business & commercial acumen Story telling Data mining & manipulation Diagnostics/ troubleshooting Programming Languages SKILLS

10. 10 © 84.51° 2015 | Confidential 10 TRAINING COURSES ARE DESIGNED AND CHOSEN TO DEVELOP THESE PROFICIENCIES TRAINING COURSES Sector Overviews Case Studies Capability Spotlight: #lifeofananalyst ADP Alumni Panels ALL COMPANYGENERAL ANALYSISBUSINESS Understanding 84.51 capabilities Problem Solving Data usage Data integration & interpretation Business & commercial acumen Story telling Data mining & manipulation Diagnostics/ troubleshooting Programming Languages SKILLS Data Training SAS / SQL / R Golden Rules QA Training

11. 11 © 84.51° 2015 | Confidential 11 TRAINING COURSES ARE DESIGNED AND CHOSEN TO DEVELOP THESE PROFICIENCIES TRAINING COURSES Sector Overviews Case Studies Capability Spotlight: #lifeofananalyst ADP Alumni Panels ALL COMPANYGENERAL ANALYSISBUSINESS Understanding 84.51 capabilities Problem Solving Data usage Data integration & interpretation Business & commercial acumen Story telling Data mining & manipulation Diagnostics/ troubleshooting Programming Languages SKILLS Data Training SAS / SQL / R Golden Rules QA Training What, So What, Now What Client 101 Storyboarding Effective Powerpoints

12. 12 © 84.51° 2015 | Confidential 12 EACH TRAINING IS MAPPED TO DNA AND SPECIFIC LEARNING OUTCOMES DNA skills we expect each training will build Learning objective (Why am I sitting here?)

13. 13 © 84.51° 2015 | Confidential 13 SHADOWING PROJECTS ALLOWS FOR TESTING SKILLS ON LIVE WORK Working on a life project in parallel with another analyst Exposure to live client work A chance to own part of a bigger project Low-risk PROJECT SHADOWING

14. 14 © 84.51° 2015 | Confidential 14 PROJECT WORK SPANS A BREADTH OF CAPABILITIES GAIN A BREADTH OF EXPOSURE What do they like to do? Where do they want to grow and develop more? ASSESS BEST-FIT TEAM Where do they fall across the technical / commercial spectrum? Where can they add the most value to the business? Where are their skills needed the most?

15. 15 © 84.51° 2015 | Confidential 15 FEEDBACK DETERMINES SUCCESS AND INFLUENCE PROGRAM CONTENT  Felt prepared for role  Felt trainings were effective and useful  Felt new starters were ready to contribute GRAD ANALYST FEEDBACK MANAGEMENT FEEDBACK What do we need to refine? What are we missing? Do we have the right timeline? What should be scaled beyond the ADP Program? What isn’t value-add?  How many grads were ready for a role by month 4? Month 5? Month 6?  Were all DNA skills demonstrated?  Which trainings were not effective? GRAD MANAGER ASSESSMENT

16. 16 © 84.51° 2015 | Confidential 16 CONTINUOUS FEEDBACK ENABLES US TO GET SMARTER ABOUT HOW WE TRAIN NEW TALENT Plan Execute Assess & Refine JANUARY JUNE Plan Execute Assess & Refine

17. 17 © 84.51° 2015 | Confidential 17 PROJECT INTAKE WEEKS 10+ PROJECT SHADOWING WEEKS 8+ TRAINING WEEKS 1-8 BUSINESS ROLE ALIGNMENT MONTHS 4-6 LEARNING DOESN’T STOP THERE… CONTINUING EDUCATION ONGOING

18. 18 © 84.51° 2015 | Confidential 18 TO BUILD ON OUR SUCCESS OF TRAINING NEW ANALYSYTS, WE SCALED THIS METHOD ANALYST DEVELOPMENT PROGRAM 7 weeks NEW ANALYST TRAINING 2 weeks ANALYST DEVELOPMENT PROGRAM 7 weeks. JanAprilJuneSept NEW ANALYST TRAINING 2 weeks

19. 19 © 84.51° 2015 | Confidential 19 ANALYSTS WANT MORE TRAINING THAN JUST BUILDING THE FOUNDATION – WHAT IS NEXT?

20. 20 © 84.51° 2015 | Confidential 20 AFTER TRAINING, EACH ANALYST CAN SCORE THEMSELVES ACROSS THE ANALYST DNA SKILLS ANALYST DNA: CURRENT SKILL LEVEL ALL COMPANYGENERAL ANALYSIS DATA SCIENCEMETHODOLOGYPRODUCT ENGINEERING BUSINESS

21. 21 © 84.51° 2015 | Confidential 21 ON-GOING SCORING IS USED TO GUIDE WHERE WE BUILD OR BUY THE NEXT TRAINING These gaps prioritize where we invest in intermediate and advanced training ANALYST DNA: CURRENT VS DESIRED SKILL LEVEL ALL COMPANYGENERAL ANALYSIS METHODOLOGYPRODUCT ENGINEERING BUSINESSDATA SCIENCE

22. 22 © 84.51° 2015 | Confidential 22 WHAT DOES THIS PROVIDE BACK TO THE BUSINESS? SUPPORT FOR AN ANALYSIS COMMUNITY WITH AN ENDLESS APPETITE TO LEARN AND GROW We love to learn. We should always be learning new things. Analysts have a voice in what training we build or buy next. CONSISTENT, WELL-TRAINED ANALYSIS TEAMS If Analysts don’t come in with skills, we build them up to do analysis how we do analysis. As best practices are updated, everyone is informed and new analysts are trained on the latest and greatest. TIME EFFICIENCY A regular training course cycle and available recorded sessions frees up time spent doing 1:1 trainings.

23. 23 THANK YOU!