Project: Sales Profitability & Performance Review Dashboard

Executive Summary

This project involved designing and deploying a comprehensive Power BI dashboard to analyze and review sales profitability across multiple periods and dimensions. The primary goal was to transform raw transactional data into synchronized, strategic insights, demonstrating proficiency in data modeling, DAX time intelligence, and advanced visualization techniques. The final report identified key drivers behind a significant 127% year-over-year profit increase.

Problem Statement

The organization lacked a centralized, reliable tool for comparing current sales performance against prior periods and quickly identifying the factors (products, channels, and time) driving success or failure. Existing reporting was prone to data synchronization issues, particularly when filtering time periods for Year-over-Year (YoY) analysis.

Key Project Insights & Achievements

  • KPI Success: Successfully synchronized all visuals to confirm a +127% profit increase over the target (Last Year's Profit).
  • Profit Drivers: Identified top-performing products (e.g., Product30) and isolated Categories 04, 02, and 01 as the primary profit engines.
  • Channel Strategy: Confirmed that Direct Sales remains the dominant distribution channel, with Online transactions driving over 50% of payment volume.
  • Operational Insight: Provided highly actionable patterns through "Average Daily Profit Profiles," revealing that Mondays are the peak profit day while Saturdays are the lowest, which can inform staffing and marketing schedules.
  • Refinement: Corrected core visualization errors common in Power BI (e.g., fixing the alphabetical sorting of the Day of Week axis to chronological order).

Tools & Technologies

  • Platform: Power BI Desktop
  • Language: DAX (Data Analysis Expressions)
  • Techniques: Dimensional Modeling, Time Intelligence, Filter Context Manipulation (CALCULATE, ALLSELECTED, REMOVEFILTERS).

Data Sources:

The analysis uses AI generated dataset

Click here to download the PowerBi Visuals. Download Project

Click here to download the dataset. Download Data