“What is the FIRST thing you look at to determine the success and failure of data science project?”
The above was a question I got at a friend’s party. Want to know my answer? Read on, please. :)
I will look at the business question that the project is trying to solve. Why?
1) Does the business question get to the root of the challenge we are trying to solve? If it does not, we are asking the wrong question because we might be treating the symptoms rather than the cause.
2) The question need to get the buy-in of all stakeholders, especially the business user. If it is a question they are not interested in…forget about project, it WILL NOT WORK!
3) Business question will determine the data collection strategy, we need to be able to have a business question that allows a good and possible data collection process, else why ask a question that we cannot get it answered through data?
TLDR: To determine the success or failure of a #data project, the very FIRST and I will say the MOST IMPORTANT thing I will look at is the BUSINESS QUESTION…then we look at Data Collection and Quality. :)
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