AtliQ Hardware has been facing challenges in making data-driven decisions. This project aims to provide comprehensive visualizations and dashboards for various business operations, offering insights that support strategic decisions and improve business performance. This project demonstrates a comprehensive business intelligence solution for AtliQ Hardware, leveraging Power BI to enable data-driven decision-making across Finance, Sales, Marketing, Supply Chain and Executive. The project showcases dashboard design, DAX optimization, and effective data modeling to address real-world business challenges.
By using the capabilities of Power BI, we’ve built an interactive, real-time reporting system that allows for improved decision-making and performance tracking.
Explore the live version of the dashboard hosted on Power BI Service here:
AtliQ Hardware BI Dashboard 👉🔗 Click to View Live Dashboard
🔸 Interactive Power BI Dashboards: Visualize data across multiple business operations like sales, finance, marketing, and supply chain management.
🔸 Dynamic DAX Functions & Measures: Create custom calculations to cater to business-specific requirements.
🔸 Optimized Data Models: Designed using the Snowflake Schema to ensure smooth, efficient data processing and analysis.
🔸 Calculated Columns & Measures: Advanced calculations and aggregation techniques tailored to business needs.
🔸 KPI Indicators & Conditional Formatting: Used to highlight key performance metrics and visually indicate areas of focus.
🔸 Real-time Reporting: Using Power BI’s live data connection features for up-to-date insights and decision-making.
🔹 Gross price: The full price of a product before any deductions.
🔹 Pre-invoice deductions: Discounts or reductions made before issuing the invoice.
🔹 Post-invoice deductions: Adjustments or reductions made after the invoice has been issued.
🔹 Net invoice sales: The amount of sales after all deductions have been made on the invoice.
🔹 Net sales: Total sales after returns, allowances, and discounts.
🔹 Gross Margin: The difference between sales and the cost of goods sold (COGS).
🔹 GM%: Gross Margin Percentage, calculated as (Gross Margin / Sales) * 100.
🔹 Net Profit: The final profit after all expenses, taxes, and deductions have been accounted for.
🔹 Year To Date (YTD): The period from the beginning of the current year up to the present date.
🔹 Year To Go (YTG): The remaining portion of the current year.
🔹 COGS: Cost of Goods Sold, representing the direct costs associated with the production of goods sold.
🔸 Power BI Desktop: The primary tool used to create and design interactive dashboards and reports.
🔸 MySQL: For querying and manipulating data, enabling deeper analysis and insights.
🔸 DAX (Data Analysis Expressions): To create custom calculations and data transformations for meaningful insights.
🔸 Power BI Service: For publishing, sharing, and collaboration on reports and dashboards.
🔸 DAX Studio: Used for performance optimization of complex DAX queries.
🔸 Excel: Data preparation and initial analysis.
Data Model used in this project, including the Snowflake schema and relationships between the fact and dimension tables:
