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Here’s a sample template:
- Find out the business problems and/or key strategic initiatives that your team/company is dealing with
- Prioritize High-Impact & Low-complexity problem first and then get a deeper understanding of that problem
- Now, you start forming hypothesis and/or break down the problem into manageable chunks/steps
- You start data exploration to address those chunks/steps identified in step #3
- You complete building a data science model or ad-hoc data analysis depending on what’s needed
- You compile everything together and create a story and/or recommendations to share
- You share your work and make sure it’s adopted and acted upon — you iterate if need be
I would try to analyze the data first and see how the business processes are aligned with respect to data. Is it customer data or product related information, I would try to get a clear picture.
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