Rejection is never easy ๐
Skills:
Data Literacy80%
Key Takeaways
The video discusses handling rejection in data analytics projects, using an example of a Tableau dashboard for a supply chain issue, and highlights the importance of stakeholder feedback and iteration in data analysis.
Full Transcript
so personally I've never handled rejection very well it's probably why I have Commit issues but rejection is actually pretty commonplace in data analytical projects for example I was working on a tableau dashboard to be used to investigate a supply chain issue the dashboard that my stakeholders wanted was quite simple they just wanted a line plot showing how a particular metric was changing over time I found that there were actually other metrics that were influencing this main metric I went to the extreme and I built a dashboard that had all of these different metrics unfortunately my stakeholders did not find Value in the dashboard that I created they wanted me to revert back to the previous design they suggested using only that single metric for me this is a learning experience that just because I think that this dashboard or the solution I develop is great my stakeholders may not think that as well
Original Description
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