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In my latest project as part of the National Telecommunication Institute (NTI), I worked on North Wind Traders with one main goal:

Understand why sales dropped and how we could improve them.

This time, I focused more on Business Understanding before jumping into the technical side.

After analyzing sales over time, I identified a significant drop and started looking for the reason behind it.

One of the strongest insights came from analyzing the relationship between Sales and Delivery Duration.

Using a Scatter Plot, I found an inverse relationship — as delivery duration increased, sales tended to decrease. 📉

So I went deeper into the shipping data and discovered that one particular shipper had significantly longer delivery durations, which was strongly associated with the sales decline.

💡 Recommendation:

Improve the performance of the underperforming shipper and reduce delivery duration, keeping the actual delivery date as close as possible to the required date.

Technically, I also worked with Advanced DAX, including YOY analysis and KPI measures comparing current-year and previous-year sales.

But the biggest lesson for me was:

Data analysis isn’t just about creating dashboards.

It’s about understanding the business problem, finding the insight, and turning it into an actionable decision.

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