How to start thinking like a data scientist
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The document outlines a 6-step process for managers to draw useful insights from data without needing a background in data science. The steps include starting with a question of interest, developing a plan to collect relevant data, collecting the data, analyzing it to answer the original question, asking follow-up "so what" questions, and iterating the process by posing new questions. It notes that being data-savvy is important for managers to make effective decisions.
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How to start thinking like a data scientist
- 3. anagers who aren’t data savvy and can’t interact with data scientists are at a disadvantage
- 5. You don’t need to be a data scientist to draw useful insights from data
- 6. All you need is an open mind to get started to think like one
- 8. Let’s explore an exercise
- 9. STEP 1Start with something that interests/bothers you at work
- 10. STEP 1a Form it up as a question and write it down
- 11. STEP 2Think through the data that can help answer your question, and develop a plan for creating them.
- 12. STEP 2a Write down all the relevant definitions and your protocol for collecting the data.
- 13. STEP 3Now collect the data. Trust the data. As you go, you’re almost certain to find gaps in data collection
- 14. STEP 3aModify your definition and protocol as you go along.
- 15. STEP 4 Now return to the question that you started with
- 16. STEP 5Ask the “so- what” question
- 17. STEP 6Ask - What else does the reveal?
- 18. STEP 1Return to step one, pose the next group of questions, and repeat the process.
- 19. Why and how are these insights relevant to a manager in India?
- 20. 1) Managers need to be data- savvy 2) Effective decision makers
- 21. Marketing Professor, IIM Lucknow Created by Dibya Maheswari, Accenture Solutions Private Limited during an internship under Professor Sameer Mathur, IIM Lucknow Dibya Maheswari, Accenture Soln. Pvt Ltd. Sameer Mathur