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Data driven business decisions

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Data driven business decisions

  1. 1. Data driven business decisions Lisa Enckell Hyper Island, Sep 11, 2017
  2. 2. Business decisions 🤔
  3. 3. What is “business decisions”?
  4. 4. Business decisions = your strategy and tactics
  5. 5. What’s often driving business decisions?
  6. 6. What’s often driving business decisions? HiPPO Highest paid person’s opinion Competitors We follow what our competitors are doing Short-term goals We take short cuts that are costly in the long run
  7. 7. What should be driving business decisions?
  8. 8. What should be driving business decisions?
  9. 9. What should be driving business decisions? Big, unpredictable events When something major happens in the world, we may need to act on it User data and insights How past, current and future users are behaving The vision Founder’s or leaders long-term vision of the organization 👉 👈
  10. 10. Build your your strategy and tactics based on customer and market data
  11. 11. How do we make data driven business decisions? 🤔
  12. 12. 1. Track the right things What actually drives the business Vanity metrics that makes us look good (temporarily)
  13. 13. 2. Make data available for everyone Dashboards with KPIs and trends Tools that allow teams to dig deeper
  14. 14. 3. Create an agile and open organization and culture Celebrate both successes and learnings share learnings and insights across teams Let every decision be guided by data Dare to test and try new things as long as they can be measured
  15. 15. Data driven strategy
  16. 16. Case: Wrapp – pivot From social gifting To rewards and loyalty
  17. 17. Data driven tactics
  18. 18. Case: Youple – messages
  19. 19. Case: VAssist – optimization
  20. 20. Data as a core business
  21. 21. Case: Clue
  22. 22. The big picture
  23. 23. The role of data is changing Support function “IT” Core “Tech” Support function Reports Core Machine learning
  24. 24. Levels of data driven decision-making Reporting we can act on past customer data Automating we use data to automate user experiences and communications Predicting we build algorithms to predict future patterns based on large amounts of data
  25. 25. Thank you! $ Lisa Enckell, @enckelli, approach.world

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