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πŸ“Š Retail Sales Performance Dashboard (2022)

An interactive data analysis project built using Microsoft Excel to evaluate annual retail sales performance and generate business insights through visualization and dashboard reporting.


πŸš€ Project Summary

This project analyzes 2022 retail sales data to understand customer purchasing behavior, regional performance, and product trends.
The goal was to convert raw transactional data into an interactive dashboard that supports business decision-making.

The dashboard allows stakeholders to monitor KPIs, filter data dynamically, and identify revenue growth opportunities.


🎯 Key Objectives

  • Track annual sales performance
  • Identify profitable customer segments
  • Analyze regional contribution to revenue
  • Support marketing and sales strategy decisions
  • Create an easy-to-use business dashboard

πŸ› οΈ Tools & Technologies

  • Microsoft Excel
  • Pivot Tables & Pivot Charts
  • Slicers & Interactive Filters
  • Data Cleaning & Transformation
  • Exploratory Data Analysis (EDA)
  • Business Intelligence Visualization

πŸ“ˆ Key Insights

  • Women aged 30–49 contributed the highest sales share.
  • Major revenue originated from Maharashtra, Karnataka, and Uttar Pradesh.
  • Online marketplaces significantly influenced total sales performance.

πŸ’‘ Business Impact

Based on analysis, targeted marketing campaigns and promotional offers were recommended to increase customer engagement and overall sales growth.



πŸ“Έ Dashboard Preview

Dashboard


πŸ‘©β€πŸ’» Author

MANISH SHARMA

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Excel-based data analytics project analyzing 14K+ financial consumer complaints using EDA, pivot analysis, and interactive dashboards.

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