“Running an Agile Fortune 500 Company”Aditya Yadav, aditya.yadav@gmail.comin.linkedin.com/in/adityayadav76*
**A Typical Global Company*Fortune 500/1000*200 Divisions*40 Countries*25000 Employees
@ Acme Inc.*
**Original Question “China has a Billionpopulation, you cannot Generalize like this…”*The Correct Question - “Well! Lets s...
And The Philosophy Behind The Answer*
**What is Statistics?*Statistics is the Math’s and Science of Meansand Proportions*In other words – Generalization!!! Acro...
**What is Strategy?*It is nothing but abstracting away thespecifics, and generalizing, by creating Modelsand Frameworks*Wh...
** So What Changed?* Why are we discussing this now?* Why does this matter? This has been done since centuries…* But, the ...
**Call it Big Data, Data Science, Analytics, MicroMarkets, Micro Segments…*It basically means that every Subject can bemod...
*
*
*
** Fine Grained / Coarse Grained* Data Availability/Quality/Types…* Uniqueness of Situation* The Industry/Market Beta* Sca...
** When you don’t have Data … Strategy Models & Frameworks are the only way to go* Strategy Models & Frameworks are Abstra...
*Aditya!!!
Upcoming SlideShare
Loading in …5
×

The Inflexion Point Of Generalization - Aditya Yadav

224 views

Published on

The Inflexion Point Of Generalization - Aditya Yadav

Published in: Business, Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
224
On SlideShare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

The Inflexion Point Of Generalization - Aditya Yadav

  1. 1. “Running an Agile Fortune 500 Company”Aditya Yadav, aditya.yadav@gmail.comin.linkedin.com/in/adityayadav76*
  2. 2. **A Typical Global Company*Fortune 500/1000*200 Divisions*40 Countries*25000 Employees
  3. 3. @ Acme Inc.*
  4. 4. **Original Question “China has a Billionpopulation, you cannot Generalize like this…”*The Correct Question - “Well! Lets start fromthe first principles and look at what and whywe generalize and in what situations. Andwhere its applicable and where its not. Shallwe?”
  5. 5. And The Philosophy Behind The Answer*
  6. 6. **What is Statistics?*Statistics is the Math’s and Science of Meansand Proportions*In other words – Generalization!!! AcrossSpecific
  7. 7. **What is Strategy?*It is nothing but abstracting away thespecifics, and generalizing, by creating Modelsand Frameworks*Which are then applied acrossIndustry, Businesses and Situations…*The very act of Generalization allows us tomake Broad Conclusions
  8. 8. ** So What Changed?* Why are we discussing this now?* Why does this matter? This has been done since centuries…* But, the world changed in the last decade…* We have tools to collect and process large amounts of Data* We can analyze and process so much data that we can analyze eachcustomer, each transaction…* Why does that matter?* For a couple of reasons* Now every Customer is a Market Segment by himself… within the limits ofCustomization of our offerings which are not that elastic. So probablymore limited in Manufacturing, but extremely malleable in Services* We probably don’t need to Generalize anymore, ok! Atleast not that much
  9. 9. **Call it Big Data, Data Science, Analytics, MicroMarkets, Micro Segments…*It basically means that every Subject can bemodeled with very high accuracy using its ownhistorical data and the historical data of a relatedpopulation.*To make extremely reasonable inferences about itsfuture actions, needs, wants, desires etc.*The very act of being able to Model successfullyimplies Rationality! In the Problem Space…
  10. 10. *
  11. 11. *
  12. 12. *
  13. 13. ** Fine Grained / Coarse Grained* Data Availability/Quality/Types…* Uniqueness of Situation* The Industry/Market Beta* Scale* Complexity* Speed* Automation* Change* Learning* Innovation (Radical…Disruptive… Incremental)* Hyper-Dimensionality* Reliability & Assurance* Predictions* Qualitative vs Quantitative* Subjunctive vs Indicative
  14. 14. ** When you don’t have Data … Strategy Models & Frameworks are the only way to go* Strategy Models & Frameworks are Abstractions/Generalizations… they are greatenablers as Black Boxes… but when things start going wrong or when the progress stopsor when everyone in the industry is doing the same things using the same modelsmaking the same conclusions, the veil has to be lifted…* Soon they will become very useless as the World Evolves as Differences will OverrideThe Commonalities… Not only in Consumer Business but even in B2B scenarios* Data can be used at a very Fine Grained Level while Models & Frameworks are mostlylimited to Aggregates* The Term That Best Suites Data Science applied to Strategy is “DESIGNER STRATEGIES”* We have long ago extinguished almost all value we could derive from generalizedqualitative models and frameworks in comparison to what others including ourcompetitors have derived, in e.g. marketing, sales, management and strategy ingeneral…* Rule: But Strategy Models & Frameworks are very valid today for one and only onething “TO SET THE BROAD DIRECTION OF THE COMPANY” which is the foundation ofEMERGENT STRATEGY…* Rule: Generalizations are most useful to give you Mental Models…
  15. 15. *Aditya!!!

×