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Who am I?
https://www.vox.com/2015/8/25/9200801/wingdings-font-history
9/28/2018“Who moved my cheese” – Living with change in the field of analytics 2
Who am I?
Quick Check: How many of you have…
Talend or Ni-Fi? Heard Know Used
XGBoost Heard Know Used
Perceptrons Heard Know Used
MECE Heard Know Used
“Who moved my cheese” – Living with change in the field of analytics Phani Mitra
“The Sexiest job of the decade” - Data Scientist is
very often being surveyed to be…
• Poorly Defined/ Articulated
• Intermittently Satisfying
• Vaguely Understood in board rooms
“Who moved my cheese” – Living with change in the field of analytics Phani Mitra
Change happens when you least expect it!
All images and logos in this presentation are copyright owned by the respective organizations and are being used for illustrative purposes Phani Mitra
Two points of view…
9/28/2018 6
• How do I see the field evolving?
• What can we do to make analytics influence
business decisions and strategy?
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
Analytics requires a combination of skills…
9/28/2018Title of the presentation 8
Math
Data & Tech
Business
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
Typical value chain today. Where are You?
9/28/2018 9
Model Selector
Model Customizer
Model Builder
Model Runner
Algo Tinkerer
Algo Developer
Geoff / Andrew
Data Engineer
Data Modeler
Data Architect
Data Extractor
Tech. Architect
Soln. Architect
Data/ Tech Expert (Cloud,
Chip, etc.)
Report Builder
Report Definer
Analysis Path Designer
Report Runner
Use-Case Detailer
(Principal..)
Use-Case Definer (EM..)
Consulting Partner
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
Lot of trends coming together making what was a
speciality skill yesterday a self-service..
9/28/2018 10“Who moved my cheese” – Living with change in the field of analytics
Cloud & Modular
Tech StacksOpen Data
Communities
The “Simple”
Revolution
What was a speciality is fast becoming self-service..
9/28/2018 11
Math Folks
Model Selector
Model Customizer
Model Builder
Model Runner
Algo Tinkerer
Algo Developer
Geoff / Andrew
“Who moved my cheese” – Living with change in the field of analyticsAll images and logos in this presentation are copyright owned by the respective organizations and are being used for illustrative purposes
What was a speciality is fast becoming self-service..
9/28/2018 12
Tech Folks
Data Engineer
Data Modeler
Data Architect
Data Extractor
Tech. Architect
Soln. Architect
Tech Expert (Data
Storage, IO, Chip etc.)
“Who moved my cheese” – Living with change in the field of analyticsAll images and logos in this presentation are copyright owned by the respective organizations and are being used for illustrative purposes
What was a speciality is fast becoming self-service..
9/28/2018 13
Business Folks
Report Builder
Report Definer
Analysis Path
Designer
Report Runner
Use-Case Detailer
(Principal..)
Use-Case Definer
(EM..)
Consulting Partner
“Who moved my cheese” – Living with change in the field of analyticsAll images and logos in this presentation are copyright owned by the respective organizations and are being used for illustrative purposes
9/28/2018Title of the presentation 14
And the news is that the landscape continues to change rapidly!
Augmented Analytics Is the Future of Data and Analytics
Published 27 July 2017 - ID G00326012 - Gartner
“Who moved my cheese” – Living with change in the field of analyticsAll images and logos in this presentation are copyright owned by the respective organizations and are being used for illustrative purposes
The future would belong to T-shaped people*
9/28/2018 15
Knowledge & Ability
outside core area
DepthandExpertise
incorearea
*Popularized by Tim Brown, CEO of IDEO
What is your T?
Math
Data &
Tech
Business
“Who moved my cheese” – Living with change in the field of analytics
I am a data scientist, how can I stay relevant?
How can I contribute to business and impact my
organization’s strategy?
9/28/2018 17“Who moved my cheese” – Living with change in the field of analytics
9/28/2018“Who moved my cheese” – Living with change in the field of analytics 18
Analytics Professionals’ primary role:
Identifying Opportunities or Helping solve problems
Consulting firms have been doing this successfully for
a long time now…
9/28/2018 19
Assure
Outcomes
Ideas &
Solutions
Oppty./ Prob.
Framing
Influence
Decisions
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
5 Essential Ingredients for success
9/28/2018 20
1. “What problem and Whose problem?”
2. “Design” a solution
3. Strengthen the Core
4. Recommendations as stories
5. Did they understand it? Did they use it?
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
1. “What Problem, Whose Problem”
9/28/2018 21
Seek problems closer to the core of the organization. Solve for the industry!
Platform/ Business
ModelStakeholder ValueCustomer
Does solving this problem help the org with:
PeopleMetricsRoles
Whose problem is it?
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
Which part of the industry value chain is
your solution addressing?
9/28/2018 22
Care
Chain
Product
Chain
$ Chain
• Yield Improvements
• Failure prediction
• Clinical Trials
• Drug Development
• Patient Adherence
• Last Mile Availability
• Track & Trace
Who is your “User”?
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
2. “Design” a solution with user at the centre
9/28/2018 23
Viable
Desirable
Feasible
User, a
Human
1. Human Centered Design
Are you thinking holistically about
the users/ decision makers for the
algos/ engines/ recommendations?
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
2. “Design” a solution with user at the centre
9/28/2018 242. AC4D: Austin Center for Design
Leverage Design Thinking Approach for building Analytics Solutions
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
3. “Strengthen the core”
9/28/2018 25
Core: Right Data/ Features, Right Models and
Right Measures for Solving the Right Problem
This is what got you the seat at the table for!
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
3. “Strengthen the core”
9/28/2018 26
No substitute for good conceptual understanding and rigor
• Choosing right Models and error measures
• Understanding what ‘noise’ throws a model off
• Feature selection and innovative feature engineering
• And the basics: T-Test, F-Test/ Chi-Square, ANOVA etc.
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
4. “Recommendations” as a story
9/28/2018 27
Stories are the best way to convert hard math in to something that can
influence business decision or strategy
Have you ever tried persuading a business leader to commit to a real
life control-test based on your data analytics?
“Recommendation = Analysis + Insight + Call to Action”
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
5. Did they understand it? Did they use it?
9/28/2018 28
YES
NO
YES NO
Recommended
Adopted/ Used
Great. How can
we repeat this
success?
Introspect &
Look Out: What
are we missing?
How did we
miss it?
Why was it not
used?
Confusion Matrix for “Business Adoption”
Recap
9/28/2018 29
1. “What problem and Whose problem?”
2. “Design” a solution
3. Strengthen the Core
4. Recommendations as stories
5. Did they understand it? Did they use it?
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
Finally, influencing business, requires more than just
good analysis..
9/28/2018Title of the presentation 30Phani Mitra
Are you involved or committed?
9/28/2018 31
Are you contributing your analysis or committing to influence/ drive
decisions?
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
9/28/2018 32
Mihály Csíkszentmihályi's concept of flow
Where are you today?
How would you like to go forward from here?
What does your T look like?
Math
Data &
Tech
Business
“Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
Who are
You?
Phani Mitra
Who are You?
And is your cheese moving?
Phani Mitra
Thank You!
Phani Mitra

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“Who Moved My Cheese?” – Sniff the changes and stay relevant as an analytics professional By Phani Mitra VP Analytics & Strategy at Dr. Reddy’s at Cypher 2018

  • 2. 9/28/2018“Who moved my cheese” – Living with change in the field of analytics 2 Who am I?
  • 3. Quick Check: How many of you have… Talend or Ni-Fi? Heard Know Used XGBoost Heard Know Used Perceptrons Heard Know Used MECE Heard Know Used “Who moved my cheese” – Living with change in the field of analytics Phani Mitra
  • 4. “The Sexiest job of the decade” - Data Scientist is very often being surveyed to be… • Poorly Defined/ Articulated • Intermittently Satisfying • Vaguely Understood in board rooms “Who moved my cheese” – Living with change in the field of analytics Phani Mitra
  • 5. Change happens when you least expect it! All images and logos in this presentation are copyright owned by the respective organizations and are being used for illustrative purposes Phani Mitra
  • 6. Two points of view… 9/28/2018 6 • How do I see the field evolving? • What can we do to make analytics influence business decisions and strategy? “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 7. “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 8. Analytics requires a combination of skills… 9/28/2018Title of the presentation 8 Math Data & Tech Business “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 9. Typical value chain today. Where are You? 9/28/2018 9 Model Selector Model Customizer Model Builder Model Runner Algo Tinkerer Algo Developer Geoff / Andrew Data Engineer Data Modeler Data Architect Data Extractor Tech. Architect Soln. Architect Data/ Tech Expert (Cloud, Chip, etc.) Report Builder Report Definer Analysis Path Designer Report Runner Use-Case Detailer (Principal..) Use-Case Definer (EM..) Consulting Partner “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 10. Lot of trends coming together making what was a speciality skill yesterday a self-service.. 9/28/2018 10“Who moved my cheese” – Living with change in the field of analytics Cloud & Modular Tech StacksOpen Data Communities The “Simple” Revolution
  • 11. What was a speciality is fast becoming self-service.. 9/28/2018 11 Math Folks Model Selector Model Customizer Model Builder Model Runner Algo Tinkerer Algo Developer Geoff / Andrew “Who moved my cheese” – Living with change in the field of analyticsAll images and logos in this presentation are copyright owned by the respective organizations and are being used for illustrative purposes
  • 12. What was a speciality is fast becoming self-service.. 9/28/2018 12 Tech Folks Data Engineer Data Modeler Data Architect Data Extractor Tech. Architect Soln. Architect Tech Expert (Data Storage, IO, Chip etc.) “Who moved my cheese” – Living with change in the field of analyticsAll images and logos in this presentation are copyright owned by the respective organizations and are being used for illustrative purposes
  • 13. What was a speciality is fast becoming self-service.. 9/28/2018 13 Business Folks Report Builder Report Definer Analysis Path Designer Report Runner Use-Case Detailer (Principal..) Use-Case Definer (EM..) Consulting Partner “Who moved my cheese” – Living with change in the field of analyticsAll images and logos in this presentation are copyright owned by the respective organizations and are being used for illustrative purposes
  • 14. 9/28/2018Title of the presentation 14 And the news is that the landscape continues to change rapidly! Augmented Analytics Is the Future of Data and Analytics Published 27 July 2017 - ID G00326012 - Gartner “Who moved my cheese” – Living with change in the field of analyticsAll images and logos in this presentation are copyright owned by the respective organizations and are being used for illustrative purposes
  • 15. The future would belong to T-shaped people* 9/28/2018 15 Knowledge & Ability outside core area DepthandExpertise incorearea *Popularized by Tim Brown, CEO of IDEO What is your T? Math Data & Tech Business “Who moved my cheese” – Living with change in the field of analytics
  • 16.
  • 17. I am a data scientist, how can I stay relevant? How can I contribute to business and impact my organization’s strategy? 9/28/2018 17“Who moved my cheese” – Living with change in the field of analytics
  • 18. 9/28/2018“Who moved my cheese” – Living with change in the field of analytics 18 Analytics Professionals’ primary role: Identifying Opportunities or Helping solve problems
  • 19. Consulting firms have been doing this successfully for a long time now… 9/28/2018 19 Assure Outcomes Ideas & Solutions Oppty./ Prob. Framing Influence Decisions “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 20. 5 Essential Ingredients for success 9/28/2018 20 1. “What problem and Whose problem?” 2. “Design” a solution 3. Strengthen the Core 4. Recommendations as stories 5. Did they understand it? Did they use it? “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 21. 1. “What Problem, Whose Problem” 9/28/2018 21 Seek problems closer to the core of the organization. Solve for the industry! Platform/ Business ModelStakeholder ValueCustomer Does solving this problem help the org with: PeopleMetricsRoles Whose problem is it? “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 22. Which part of the industry value chain is your solution addressing? 9/28/2018 22 Care Chain Product Chain $ Chain • Yield Improvements • Failure prediction • Clinical Trials • Drug Development • Patient Adherence • Last Mile Availability • Track & Trace Who is your “User”? “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 23. 2. “Design” a solution with user at the centre 9/28/2018 23 Viable Desirable Feasible User, a Human 1. Human Centered Design Are you thinking holistically about the users/ decision makers for the algos/ engines/ recommendations? “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 24. 2. “Design” a solution with user at the centre 9/28/2018 242. AC4D: Austin Center for Design Leverage Design Thinking Approach for building Analytics Solutions “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 25. 3. “Strengthen the core” 9/28/2018 25 Core: Right Data/ Features, Right Models and Right Measures for Solving the Right Problem This is what got you the seat at the table for! “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 26. 3. “Strengthen the core” 9/28/2018 26 No substitute for good conceptual understanding and rigor • Choosing right Models and error measures • Understanding what ‘noise’ throws a model off • Feature selection and innovative feature engineering • And the basics: T-Test, F-Test/ Chi-Square, ANOVA etc. “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 27. 4. “Recommendations” as a story 9/28/2018 27 Stories are the best way to convert hard math in to something that can influence business decision or strategy Have you ever tried persuading a business leader to commit to a real life control-test based on your data analytics? “Recommendation = Analysis + Insight + Call to Action” “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 28. 5. Did they understand it? Did they use it? 9/28/2018 28 YES NO YES NO Recommended Adopted/ Used Great. How can we repeat this success? Introspect & Look Out: What are we missing? How did we miss it? Why was it not used? Confusion Matrix for “Business Adoption”
  • 29. Recap 9/28/2018 29 1. “What problem and Whose problem?” 2. “Design” a solution 3. Strengthen the Core 4. Recommendations as stories 5. Did they understand it? Did they use it? “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 30. Finally, influencing business, requires more than just good analysis.. 9/28/2018Title of the presentation 30Phani Mitra
  • 31. Are you involved or committed? 9/28/2018 31 Are you contributing your analysis or committing to influence/ drive decisions? “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 32. 9/28/2018 32 Mihály Csíkszentmihályi's concept of flow Where are you today? How would you like to go forward from here? What does your T look like? Math Data & Tech Business “Who moved my cheese” – Living with change in the field of analyticsPhani Mitra
  • 34. Who are You? And is your cheese moving? Phani Mitra