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Project Title

Superstore Automated Reporting & DAX Analysis Dashboard

Project Objective

Developed an automated reporting solution and calculated key performance indicators (KPIs) for management using Microsoft Power BI.

Key Responsibilities & Executed Tasks

Data Extraction & Transformation

Imported the "Sample - Superstore 2019" dataset and utilized Power Query Editor to clean and transform the raw data.

Data Modeling:

Designed a structured, proper data model and established a date hierarchy for accurate time-intelligence reporting.

DAX Engineering:

Formulated essential business metrics using DAX measures, including Total Sales, Total Profit, Profit Margin %, Running Total, and Year-over-Year (YoY) Growth.

Calculated Columns:

Created custom columns to evaluate business logistics, such as Profitability Category and Shipping Delay.

Dashboard Development:

Built dedicated analytical report pages focusing on Executive Analysis and Product Analysis. Interactive Features: Enhanced the user experience by implementing slicers, dynamic filtering, and drill-through functionality for deep data exploration.

Technical Highlights:Developed 5+ complex DAX measures and multiple calculated columns. Delivered a comprehensive multi-page report featuring interactive data visualizations.

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