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Global Electronics Retailer - Sales Analysis

  • Writer: Matias Rossi
    Matias Rossi
  • Nov 28, 2024
  • 2 min read

Updated: Dec 2, 2024

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šŸ”—See the Project files here! šŸ”—

This project focused on analyzing and visualizing data from a global electronics company, leveraging the full power of Power BIĀ to uncover actionable insights. Here’s how I approached it step by step:




1ļøāƒ£ Dataset Selection:Ā I chose a multi-table datasetĀ (Sales, Customers, Products, Stores) that presented a complex structure. This challenge allowed me to showcase advanced data analysis techniques.

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2ļøāƒ£ Initial Data Exploration:Ā I thoroughly reviewed the dataset, creating an entity-relationship diagramĀ to map key connections and understand the overall data landscape.

3ļøāƒ£ Data Cleaning and Transformation:Ā Using Power Query, I cleaned and transformed the data—renaming columns, standardizing formats, and eliminating inconsistencies to ensure a robust and accurate data model.

4ļøāƒ£ Calculated Columns:Ā I built custom metrics such as profit margins, delivery timelines, and customer segmentation by age, leveraging advanced formulas to enrich the dataset.

5ļøāƒ£ DAX Measures and Dynamic Analysis:Ā I designed measures like Total Sales, Profit, Year-over-Year Growth, and key percentage metrics, enabling dynamic and scalable insights across the dashboard.

6ļøāƒ£ Visualization Design:Ā The final dashboard included dedicated tabs for Sales, Products, Stores, and Customers, featuring interactive filtersĀ and intuitive visuals tailored for executive decision-making.



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šŸ’» Skills Demonstrated:This project reflects my technical expertise in:

  • Exploratory Data Analysis (EDA):Ā Reviewing and interpreting datasets to uncover hidden trends.

  • Data Cleaning and Transformation:Ā Mastering Power QueryĀ to prepare clean, reliable data.

  • Advanced DAX Formulas:Ā Creating metrics for in-depth, flexible analysis.

  • Power BI Dashboard Design:Ā Crafting visuals that make insights accessible and actionable.




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✨ Why This Matters: This project highlights my ability to work with complex datasets, transform raw information into meaningful insights, and deliver results in a clear, visually compelling way. Beyond technical skills, it showcases my commitment to documenting processes and anticipating real-world business needs.



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šŸš€ Looking Ahead:

Completing this project was an invaluable experience, allowing me to apply everything I’ve learned to solve real-world challenges. I’m excited to bring these skills into a professional setting and continue delivering data-driven value.


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šŸ“Š Top 10 in Class: Excellence in Learning and Execution

As part of the Data Analytics courseĀ at Coderhouse, I completed my final project within the Top 10 studentsĀ of my cohort. This achievement, alongside additional certifications in Excel for Data AnalysisĀ and Tableau, underscores my dedication to continuous learning and excellence as I transition into the world of data analysis.


šŸ“‚ Explore my portfolioĀ to see more projects and learn how I can contribute to your team!

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