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*
    “Running an Agile Fortune 500 Company”
    Aditya Yadav, aditya.yadav@gmail.com
    in.linkedin.com/in/adityayadav76
* A Typical Global Company
  * Fortune 500/1000
  * 200 Divisions
  * 40 Countries
  * 25000 Employees




                             *
*
    @ Acme Inc.
* Original Question “What are the best metrics
 we should use to Manage our Global company?”
* The Correct Question - “Numbers by
 themselves have no meaning. Should we start
 managing our company using Continuous
 Trends?”




           *
*
    And The Philosophy Behind The Answer
* An Upfront Exercise
* Assumes Stable Environment and Business Operations
* Assumes – Assumptions wont change
* Relies on Efficient, Coordinated „Dumb‟ Execution
* Golden Rule - “The more upfront effort you put in the
  more difficult is it to change later”
* Who do you think this suites best? (i) White (ii) Blue
  (iii) Gold Collar Workers?
* Does it suite Knowledge Companies?
* Does it suite Complex Dynamic Business Environments?


                    *
* When assumptions change every week or month
* Evolutionary Strategy Enablers
  * Organizational structures and design,
  * Business Models & Change Process
  * Clear Strategic vs Tactical Separation
  * Collaborative & Objective Decision Making
  * Risk Tolerance & Learning
  * Processes
  * People & Culture, and
  * Innovation


         *
* Life in the organization starts with –
  “Resources are limited”, but
* We have Multiple Objectives
* So what‟s the right Composite Objective
  Function?
* How do we achieve an Optimum Solution?
* Obviously the Solution will vary with Time
* We need Adaptive Multi-Objective Heuristic
  Optimization


                    *
* Most optimization algorithms fail around 40-70
 dimension space
* A global organizational division might have 100-
 1000+ dimensions
* With - Continuous/Integer/Discrete/Boolean
 variables and choices!!!
* Dimensional Reduction for Analysis??? Maybe!
* Can a machine do this for us? Really?


                         *
* How would have a Scorecard or Metrics/Numbers
  helped with this problem space?
* We need to use Visual Solutions


                   *
* What do these mean (Good/Bad) or if anything
 at all? (For the purpose of Strategy)
  * Revenue is $24billion
  * 14m iPads sold
  * Margin is $300/sale




                            *
* M(t+1) = a*M(t) + b*I(t) + c*T(t)
* I(t+1) = d*I(t) + e*T(t) + f*M(t)
* T(t+1) = g*T(t) + h*M(t) + j*I(t)
* These equations are notoriously non-linear, cross
  coupled and chaotic
* The solutions are in multiple semi-stable niche
  equilibria
* With a model like this how would numbers like
  $24bn sales, 14m pieces sold, $300 margin help
  even remotely?
* You need „Trends!‟

        *
Aditya!!!



     *

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Running an Agile Fortune 500 Company with Continuous Trends

  • 1. * “Running an Agile Fortune 500 Company” Aditya Yadav, aditya.yadav@gmail.com in.linkedin.com/in/adityayadav76
  • 2. * A Typical Global Company * Fortune 500/1000 * 200 Divisions * 40 Countries * 25000 Employees *
  • 3. * @ Acme Inc.
  • 4. * Original Question “What are the best metrics we should use to Manage our Global company?” * The Correct Question - “Numbers by themselves have no meaning. Should we start managing our company using Continuous Trends?” *
  • 5. * And The Philosophy Behind The Answer
  • 6. * An Upfront Exercise * Assumes Stable Environment and Business Operations * Assumes – Assumptions wont change * Relies on Efficient, Coordinated „Dumb‟ Execution * Golden Rule - “The more upfront effort you put in the more difficult is it to change later” * Who do you think this suites best? (i) White (ii) Blue (iii) Gold Collar Workers? * Does it suite Knowledge Companies? * Does it suite Complex Dynamic Business Environments? *
  • 7. * When assumptions change every week or month * Evolutionary Strategy Enablers * Organizational structures and design, * Business Models & Change Process * Clear Strategic vs Tactical Separation * Collaborative & Objective Decision Making * Risk Tolerance & Learning * Processes * People & Culture, and * Innovation *
  • 8. * Life in the organization starts with – “Resources are limited”, but * We have Multiple Objectives * So what‟s the right Composite Objective Function? * How do we achieve an Optimum Solution? * Obviously the Solution will vary with Time * We need Adaptive Multi-Objective Heuristic Optimization *
  • 9. * Most optimization algorithms fail around 40-70 dimension space * A global organizational division might have 100- 1000+ dimensions * With - Continuous/Integer/Discrete/Boolean variables and choices!!! * Dimensional Reduction for Analysis??? Maybe! * Can a machine do this for us? Really? *
  • 10. * How would have a Scorecard or Metrics/Numbers helped with this problem space? * We need to use Visual Solutions *
  • 11. * What do these mean (Good/Bad) or if anything at all? (For the purpose of Strategy) * Revenue is $24billion * 14m iPads sold * Margin is $300/sale *
  • 12. * M(t+1) = a*M(t) + b*I(t) + c*T(t) * I(t+1) = d*I(t) + e*T(t) + f*M(t) * T(t+1) = g*T(t) + h*M(t) + j*I(t) * These equations are notoriously non-linear, cross coupled and chaotic * The solutions are in multiple semi-stable niche equilibria * With a model like this how would numbers like $24bn sales, 14m pieces sold, $300 margin help even remotely? * You need „Trends!‟ *