SuperStore Sales Analysis (Executive Dashboard)

I am thrilled to present my TASK-1 Superstore Analysis project that I've been working on! In this project, I explored the fascinating world of retail data and delved into the insights and patterns hidden within. The primary objective was to forecast the sales of a supermarket to help optimize inventory management and meet customer demand effectively.

Quick overview of the process I followed for this analysis: ✅ Data Collection: I sourced the dataset from Kaggle, ensuring a comprehensive and reliable dataset for my analysis. ✅ Data Formatting: Cleaning and preparing the data were crucial steps to ensure accurate results and seamless visualization. ✅ Data Visualization: I used various visualization techniques to bring the data to life, uncover trends, and gain valuable insights from the visual representation of the supermarket's performance. ✅ DAX Functions: Leveraging DAX (Data Analysis Expressions) functions, I performed calculations and created dynamic measures to enhance the analysis.

Objective: Forecasting the Sales of a Supermarket In a dynamic retail environment, it's essential for a supermarket to strike a balance between meeting customer demand and avoiding excessive stock. By accurately forecasting sales across different departments, the supermarket can optimize its inventory, ensuring that popular items are adequately stocked while minimizing unnecessary surpluses.