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Office supplies

Published on the January 29, 2025 in IT & Programming

About this project

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I developed an interactive Power BI dashboard for an office supplies business to analyze sales trends and performance. The dataset included Order Date, Region, Repetition (New/Repeat Orders), Items, Units, and Unit Price.

Key Features & Insights:
Sales Trends (Line Chart): Tracked revenue growth over time.
Regional Performance (Map Visualization): Identified high-performing regions.
Top-Selling Items (Bar Chart): Showed demand for different products.
Repetition Analysis (Pie Chart): Measured customer retention via repeat orders.
KPI Cards: Displayed Total Sales, Units Sold, Average Order Value, and Growth %.
Interactive Filters: Allowed users to drill down by date, region, and item category.

Project overview

Office Supplies Sales Dashboard – Project Overview The Office Supplies Sales Dashboard is a Power BI project designed to help businesses analyze and optimize their sales performance. The dataset includes Order Date, Region, Repetition (New/Repeat Orders), Items, Units, and Unit Price, offering a clear view of sales trends. The dashboard presents key insights through interactive visualizations, such as sales trends over time, regional sales performance, top-selling items, and customer retention analysis. Important business metrics like Total Sales, Units Sold, and Average Order Value are displayed using KPI cards for quick decision-making. Using data cleaning and transformation techniques, the information was structured to ensure accuracy and usability. The dashboard features interactive filters, allowing users to explore data based on regions, product categories, and order periods. This project enables businesses to track product demand, optimize inventory, and identify customer buying patterns. It also helps in understanding which regions perform best and whether customers return for repeat purchases. By designing a clear, informative, and interactive dashboard, this project demonstrates strong skills in Power BI, data visualization, and business analytics, helping companies make data-driven decisions effectively.

Category IT & Programming
Subcategory Data Science
Project size Medium
Is this a project or a position? Project
Required availability As needed

Delivery term: Not specified

Skills needed