Walmart-Sales-Intelligence-Forecasting-Dashboard-Power-BI

Power BI Sales Dashboard - Advanced Project

Project Overview

This repository contains an advanced Power BI Sales Dashboard project, designed to analyze and visualize sales data for better business decision-making. The dashboard leverages Power BI's data visualization capabilities to provide deep insights into sales performance, key metrics, and forecasting trends.

Objectives

• Understand Business Performance: Identify key insights from sales data using KPIs.
• Data Cleaning & Transformation: Prepare raw sales data for accurate reporting and visualization.
• Interactive Dashboard Creation: Build a dynamic and interactive dashboard with filters and charts.
• Sales Forecasting: Predict sales trends for the next 15 days using Power BI forecasting tools.
• Enhance Resume & Skillset: Improve Power BI proficiency by working on a real-world data visualization project.

Project Scenario

This project is built on Walmart Sales Data, containing:

• Order details (Order ID, Date, Customer Info, Shipping Mode)
• Sales data (Product Category, Sub-category, Sales Amount, Profit, Quantity)
• Geographical insights (Region, State, City-wise sales data)
• Time-series analysis (Year-on-Year sales trends and forecasting)

Key Features

• Data Import & Cleaning: Removing unnecessary columns, checking data types, and fixing errors.
• KPI Metrics: Displaying Sales, Profit, Quantity Sold, and Customer Segmentation.
• Dynamic Filters & Visuals: Interactive slicers for Region, Year, and Product Category.
• Forecasting & Predictions: Using Power BI's forecasting capabilities to predict sales trends.
• Geospatial Visualization: Mapping sales data with Power BI maps for regional insights.

Tools & Technologies

• Power BI for data visualization and dashboard development
• Excel/CSV for dataset storage
• DAX (Data Analysis Expressions) for advanced calculations
• Power Query for data transformation

Dataset

The dataset used in this project is the Walmart Sales Dataset, which is publicly available and included in this repository.

Getting Started

Prerequisites

• Install Power BI Desktop from Microsoft.
• Download the dataset (provided in this repository).

Installation

1. Clone this repository:
2. Open Power BI Desktop.
3. Load the dataset from the provided CSV file.
4. Follow the Power BI report (.pbix) file to explore the dashboard.
5. Customize and enhance the dashboard as needed.