1. Ch 9. What Makes a Great Analytics Team? Taming The Big Data Tidal Wave 7 June 2012 SNU IDB Lab. Jee-bum Park

2. Outline  All Industries Are Not Created Equal  Just Get Started!  There’s a Talent Crunch out There  Team Structures  Keeping a Great Team’s Skills Up  Who Should Be Doing Advanced Analytics?  Why Can’t IT and Analytic Professionals Get Along? 2

3. All Industries Are Not Created Equal Know Where Your Industry Falls  There are a lot of challenges an organization will face in getting a great analytics team started  Starting to address the right problems 3

4. Outline  All Industries Are Not Created Equal  Just Get Started!  There’s a Talent Crunch out There  Team Structures  Keeping a Great Team’s Skills Up  Who Should Be Doing Advanced Analytics?  Why Can’t IT and Analytic Professionals Get Along? 4

5. Just Get Started!  It is important not to get frozen in a state of indecision  The worst thing – Wastes time – Prevents progress – Delays benefits from being realized  Get the right people going after the right problems  Achieve that, and making a few tweaks to the organization chart over time is nothing 5

6. Outline  All Industries Are Not Created Equal  Just Get Started!  There’s a Talent Crunch out There  Team Structures  Keeping a Great Team’s Skills Up  Who Should Be Doing Advanced Analytics?  Why Can’t IT and Analytic Professionals Get Along? 6

7. There’s a Talent Crunch out There  Many fields lack enough good people, this is even more true in the analytics field – The demand for analytic professionals is increasing rapidly – The stream of analytical talent out of the educational system has always been fairly small  Even though the economy is far from ideal  Analytics professionals are going to want money just like anybody else 7

8. Outline  All Industries Are Not Created Equal  Just Get Started!  There’s a Talent Crunch out There  Team Structures  Keeping a Great Team’s Skills Up  Who Should Be Doing Advanced Analytics?  Why Can’t IT and Analytic Professionals Get Along? 8

9. Team Structures (1/5) Decentralized/Functional Structures  In a decentralized organization, analytics resources report through a specific functional business unit 9 Analytic professionals Operational analytics team Operations team Chief operations officer Marketing analysts team Marketing team Chief marketing officer Risk analysts team Risk management team Chief financial officer

10. Team Structures (2/5) Decentralized/Functional Structures  In a decentralized organization, analytics resources report through a specific functional business unit  Advantage – Analytic professionals are embedded exactly where they need to be  Disadvantage – Resources end up spread out across an organization 10

11. Team Structures (3/5) Centralized Structures  In a centralized structure of the purest form, there will be one core analytics team located in one spot on the organizational chart 11 Centralized analytics team Chief operations officer Chief financial officer Chief information officer Chief marketing officer

12. Team Structures (4/5) Centralized Structures  In a centralized structure of the purest form, there will be one core analytics team located in one spot on the organizational chart  Advantage – Ability to reallocate resources as needed – It provides the opportunity for analytic talent to get experience and exposure to multiple parts of the company  Disadvantage – There are no individuals who can go deep in any specific area 12

13. Team Structures (5/5) Hybrid Structures  In a hybrid structure, there is a centralized team as well as dedicated teams within specific business units  Don’t stress over structure – The most important thing is not how you structure your analytics teams – The most important thing is that you have the right people doing the right analytics for the right reasons 13

14. Outline  All Industries Are Not Created Equal  Just Get Started!  There’s a Talent Crunch out There  Team Structures  Keeping a Great Team’s Skills Up  Who Should Be Doing Advanced Analytics?  Why Can’t IT and Analytic Professionals Get Along? 14

15. Keeping a Great Team’s Skills Up (1/3) The Matrixed Approach  One approach that helps keep analytic professionals’ skills sharp is “matrixed” approach  Over time, the strongest and most senior analytic professionals are going to be leads more often than not 15 LeaderWorker Project ASueBob Project BBobSue

16. Keeping a Great Team’s Skills Up (2/3) Cross-Training  One of the most important things is to ensure that analytic professionals are cross-training each other 16 Amazing programmer Teaching coding skills

17. Keeping a Great Team’s Skills Up (3/3) Managers Can’t Lose Touch  Analytics managers and executives need to stay engaged and to keep their skills from eroding  To keep skills up, consider requiring that every analytics manager – Change duties at least once a year – Go into the field – Actually do some analysis 17

18. Outline  All Industries Are Not Created Equal  Just Get Started!  There’s a Talent Crunch out There  Team Structures  Keeping a Great Team’s Skills Up  Who Should Be Doing Advanced Analytics?  Why Can’t IT and Analytic Professionals Get Along? 18

19. Who Should Be Doing Advanced Analytics?  Illustrating inconsistency – If an organization is to have a great analytics team, it will need to remember the art and science that make up effective analytics  Focus everyone on what they do best – Great artists likely didn’t paint a masterpiece the first time they painted 19

20. Outline  All Industries Are Not Created Equal  Just Get Started!  There’s a Talent Crunch out There  Team Structures  Keeping a Great Team’s Skills Up  Who Should Be Doing Advanced Analytics?  Why Can’t IT and Analytic Professionals Get Along? 20

21. Why Can’t IT and Analytic Professionals Get Along? Analytics teams are asked to:IT teams are asked to: Heavily utilize system resourcesTightly manage resource usage Create tables and use a lot of spaceLimit table creation and space usage Run complex ad hoc queriesMinimize use of complex ad hoc queries Go outside the boxKeep users within the box Experiment with new approachesStick to approved approaches Work with limited rules and restrictionsEnforce rules and restrictions 21

22. Thank you