SKIPLIINE SUPER STORE

This repository contains a Power BI dashboard project focused on analyzing eCommerce store data. The dashboard provides insights into key metrics such as sales performance, customer behavior, product trends, and more.

INTRODUCTION

The SkipLine Super Store Dashboard is a comprehensive Power BI project designed to analyze and visualize data from an online store. The dashboard enables stakeholders to monitor sales performance, understand customer demographics, and track product trends in real-time. This project is ideal for business analysts, data analysts, and eCommerce managers who want to gain actionable insights from their data.

FEATURES

• Sales & Profit Analysis: Track total sales and profit, average order value, and sales by region, category, and product.

• Customer Insights: Analyze customer demographics, purchase patterns, and segment customers based on various criteria.

• Product Trends: Identify top-selling products, track inventory levels, and analyze seasonal sales trends.

• Interactive Visualizations: Utilize Power BI’s interactive features to drill down into specific metrics, filter data, and explore different dimensions of the business.

DATASET

The dataset used in this project contains detailed information on transactions, customers, and products. The data is sourced and is typically stored in a CSV or Excel file.

USAGE

• Open the Skipline-Project.pbix file in Power BI Desktop.

• If necessary, update the dataset by importing your own eCommerce data.

• Explore the different tabs and visuals in the dashboard to gain insights into your store’s performance.

• Use filters and slicers to view data by specific time periods, regions, product categories, or customer segments.

  

DASHBOARD OVERVIEW

The dashboard consists of several key sections:

• Sales Overview: A high-level view of total sales, average order value, and sales trends over time.

• Customer Analysis: Insights into customer demographics, purchase frequency, and customer lifetime value (CLV).

• Product Performance: Detailed analysis of product sales, including top-selling items, product categories, and inventory levels.

• Geographic Analysis: Sales performance by region, with maps and regional breakdowns.

• Profit & Loss Analysis: Analysis of profit and loss trends over different products, including region and market.