Adventure Works Cycles

*This dashboard was completed as the course project for the Power BI for Desktop class.

The following outlines the step-by-step approach to constructing this Power BI dashboard, transforming raw CSV data into a comprehensive and interactive tool for analyzing key performance indicators, regional data, customer behavior, and revenue trends.

Data Import and Transformation:

• Started with raw data from a CSV file.
• Imported the data into Power BI using the Power Query Editor.
• Applied transformations to reshape and structure the data for analysis.

Relational Data Model:

• Created a relational data model to organize and connect different tables.
• Defined relationships between tables to establish connections based on common keys.

DAX Formulas:

• Utilized Data Analysis Expressions (DAX) to create calculated columns and measures.

Key Performance Indicators (KPIs):

• Defined KPIs for tracking important metrics like sales, returns, profits, and revenue.

Interactive Dashboard for Analysis:

• Incorporated visualizations (charts, graphs, tables) to present the data in a meaningful way.
• Utilized slicers, filters, and drill-through functionalities for user interactivity.

Analysis:

• Regional. Dynamically compare regional revenue.
• Customer. Identify and highlight high-value customers. View customers by categories like age and profession.
• Products. Analyze and visualize trends at the product level.

Testing and Validation:

• Checked the accuracy of calculations and visualizations.
• Ensured that the dashboard meets the business requirements and provides valuable insights.