Why data-driven approach is not just about statistics?

Transcript

1. Why data-driven approach is not just about statistics Siarhei Tuzik 9 An essay on measuring* * Essay <origin> (Latin) exagium ‘weighing’
2. 2 Кто такой? Grodno, 2019 • Кандидат физ-мат наук (БГУ, функциональный анализ, 1995 год) • Зав. кафедрой математического моделирования Брестского гос. университета (до 2007 года) • Директор Брестского филиала компании EPAM (2007 - 2019) • Автор методики Оркестровки предприятия и одноименной книги (2018)
3. Оркестровка предприятия Сергей Тузик Как не запутаться в сложных корпоративных делах
4. Шаблон оркестровки Grodno, 2018 ЦЕЛОСТНОСТЬ В КОНТЕКСТЕ МЫШЛЕНИЯ Думать (Логика) Хотеть (Воля) Пятый элемент: Синергия Делать (Результат) Доверять (Отношения) ОРКЕСТР МУЗЫКА МЫШЛЕНИЕ
5. Где такое можно увидеть на предприятии? Grodno, 2018 АРХИТЕКТУРА НА ПРЕДПРИЯТИИ: ТИПОЛОГИЯ Архитектура решений (Solutions) Направления и горизонты развития Архитектура предприятия Архитектура способности (Tech & Capability) Архитектура бизнеса (Business Opportunities) Медленное рациональное Value protection Быстрое интуитивно- образное Value creation
6. Grodno, 2019 HOW DOES DATA-DRIVEN APPROACH MAY LOOK LIKE? Thinking: Solutions Willing: Directions Synergy & Wholeness Doing: Measuring Trust: Relations Rational Intuition Imagination Topic for today
7. Data-driven: Direct measures At Orchestration Template Doing
8. 8 METRICS & DASHBOARDS
9. What’s a metric? Standard (regular) stuff Non-standard (irregular) stuff * Measure (Eng.) <-> Mensura (Lat.) <-> Metron (Greek)
10. ‘Packing into a box’ in measuring V(Object) := V(It’s Container)
11. Complex measuring assumes tangible and immutable object or quickly repeatable ones
12. Kilometers: repeatable objects to measure distance
13. Measuring people’s productivity Estimations? Just a sec …
14. crossover.com/productivity # cases closed with 4-5 stars Low of productivity = time spent x intensity of work (uninterrupted work) Beware of ‘Packing into a box’
15. crossover.com/productivity # cases closed with 4-5 stars Low of productivity = time spent x intensity of work (uninterrupted work) co- aching /* see: head-ache */ Photo by Wade Austin Ellis @ Unsplash
16. Summing up: Direct measures 16 Tangible world Solid or repeatable objects NOW The best for: Measure standard (ordinary, solid, highly repeatable) stuff use the results right NOW * Keep in mind ‘packing into a box’
17. Data-driven: Analytics & Decisions At Orchestration Template Thinking
18. Statistics as post-mortem tool Thinking
19. Statistics as post-mortem tool crossover.com/productivity Thinking
20. FRONT ASSIST SYSTEM SMART DECISIONS
21. 21 https://www.forbes.com/sites/cognitiveworld/2019/08/29/software-ate-the-world-now-ai-is-eating-software/#1ba8c2255810 “Software is eating the world” Marc Andreessen © 2011 SMART DECISIONS 2019+:
22. Artificial Intelligence: Data has a better idea? Photo by Icons8 team and Maxime VALCARCE on Unsplash
23. Photo by Mathias Elle on Unsplash Neural Network is experience based expert system. It’s not about ideas… Smell / Thinking Solutions Vision / Willing Direction Synergy Touch / Doing Measures Hearing / Trust Relations Rational Intuition Imagination
24. Summing up: Analytics & Decisions ‘What if’ world Experience Knowledge Hypotheses YESTERDAY The best for: Measure models to find repeatable patterns, analytical dependencies, use Yesterday’s knowledge for Today’s decisions
25. Data-driven: Trusted relations At Orchestration Template Trust
26. Traditional business vs platforms In the world of traditional business, companies compete by attempting to create a pipeline for higher-quality products and services. In an analogous fashion, platforms compete by trying to improve the quality of the tools they provide to pull in users, facilitate interactions, and match producers with consumers.
27. Pipeline vs Platform: Push vs Pull in PIPELINE BUSINESS MODEL: AGGRESSIVE PUSH Pipeline: Value stream from production to consumer
28. Pipeline vs Platform: Push vs Pull in PLATFORM BUSINESS MODEL: PULL IN Pull in Ecosystem / Platform Value Value Value Value Value Peer Producer Peer Consumer Exchange Pull in Pull in
29. Ecosystems Playing in their league
30. 30 Connected cars as friendly ecosystem
31. One more league: recommendations
32. Summing up: Trusted relations 32 Opportunity & Trust world Feeling Reputation Mission TOMORROW The best for: Measure ecosystem responses mutual trust, behavior changes, platform convenience, gather reputation and trust to get responsibility for new mission
33. Data-driven: Purpose & Direction At Orchestration Template Willing
34. 34 Advanced topic * OKRs as measuring for visionaries * out of scope here at GROCON’19
35. Summing up: Purpose & Direction 35 Purpose & Enterprise Aspiration Vision Willingness FUTURE The best for: Measure purposefulness ambitious aspiration is accompanied by tangible steps in right direction &
36. 36 Purpose & Enterprise FUTURE Opportunity & Trust world TOMORROW ‘What if’ world YESTERDAY Tangible world NOW Holistic world PERPETUITY & Finally: Keep in mind them all and don’t mix ’em up!
37. USEFUL LINKS https://www.amazon.com/How-Google- Works-Eric-Schmidt/dp/1455582328 https://www.amazon.com/Platform-Revolution- Networked-Markets-Transforming/dp/B01DDX6VB2 https://www.amazon.com/Lean-Analytics- Better-Startup-Faster/dp/1449335675 Various metrics Smart creatives Platform & Ecosystems as business
38. USEFUL LINKS https://www.amazon.com/Measure-What- Matters-Google-Foundation/dp/0525536221 https://www.amazon.com/Holonomics-Business- People-Planet-Matter/dp/1782500618 Philosophy of the holistic world OKR as it works
39. 39 https://enterprise-orchestration.blog
40. Спасибо за внимание! GROCON 2019 Yours, Siarhei Tuzik