π Advanced Data Analysis Using Power BI π»
Details
In this project, I analyzed sales data for different stores operating in multiple sectors and markets using the amazing Power BI tools!
Steps I followed:
1οΈβ£ Power Query:
Cleaned and organized the data so that it was ready for analysis.
Merged tables, fixed errors, and adjusted relationships between fields to better illustrate the data.
2οΈβ£ DAX:
Used DAX formulas to create smart metrics such as:
Total sales.
Profit percentage.
The impact of discounts on financial performance.
Created dynamic visualizations that facilitate understanding trends and analyzing performance based on time, products, and countries.
3οΈβ£ Visualizations:
Designed interactive dashboards that display:
Top selling products and profits.
Performance of each sector (government, mid-market, ...).
Monthly and yearly analysis of sales and profitability.
Result:
Using these tools, I was able to highlight the most important opportunities and challenges in the data, while identifying key trends that help improve sales strategies.
π―If you are interested in learning more about the analysis, share your opinion with me or ask me for details! π