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I had a Sales Project, where I utilized data analysis to uncover key insights that drive operational efficiency.

- The Journey Begins with Data Exploration:

I started by thoroughly examining our data and pinpointing essential Key Performance Indicators (KPIs), including:

• Revenue

• Profit

• Cost

• GM%

• AOV

• Number of Orders

• Number of Customers

• Total Returns

• Return Rate

• Customer Return Rate

-Creating a Dashboard Mockup:

I then translated these insights into an engaging dashboard mockup using Sketch.

-Next Steps: Data Transformation & Analysis:

We are now set to kick off the ETL process in Power Query, define relationships within our data model, and carry out DAX calculations.

-Dynamic Dashboard Integration:

I’ve successfully merged all elements to craft a dynamic, interactive dashboard that uncovers valuable trends.

-Some Key Insights & Observations:

• Q1 emerges as the best quarter for revenue

• Continuous revenue growth observed over the years

• Revenue dips in Q2 and Q3

• Best GM% recorded in Q1 2011

• Notable loss of old customers

◦ Year-over-year decline in new customers

◦ Highest purchase frequency identified with Monster Progress

◦ Peak in total returns in Q1 2012

• Customer return rate stands at a high 57.2%

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