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Sales Analysis Project | From Excel to Interactive Dashboard Insights

I’m excited to share a recent Sales Data Analysis project I completed using Excel and Power BI, starting from raw data all the way to actionable business insights

Data Preparation Phase

The project started with structuring and cleaning raw data:

Data cleaning and handling missing values

Removing duplicates and organizing datasets (Products / Sales / Customers)

Using Excel functions such as:

VLOOKUP / XLOOKUP

IF Statements

Pivot Tables

Basic aggregation functions

Data Analysis Phase

After preparing the data, I focused on analyzing:

Total Sales performance

Profit analysis

Best & worst performing products

Customer behavior and contribution

Product performance comparison across categories

Dashboard Development

An interactive dashboard was built to visualize:

Top & Bottom performing products

Sales vs Profit analysis

Customer contribution analysis

Product performance trends

Key Insights

A small percentage of products generate the majority of profit (Pareto Principle)

Some high-selling products have low profitability due to pricing strategy

Certain products underperform and require review or elimination

Focusing on key products can significantly increase overall profitability without increasing sales volume

Business Recommendations

Focus on high-profit products (Hero Products)

Re-evaluate pricing strategy for low-margin items

Create product bundles to increase order value

Reduce or clear slow-moving inventory

Target high-value customers with tailored offers

Conclusion

This project highlights how data analysis goes beyond numbers — it transforms raw data into clear business decisions that drive profitability and efficiency.

I’m continuously improving my skills in Data Analysis & Business Intelligence using Excel and Power BI, and open to feedback or opportunities.

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