Power BI Sales Performance Analysis Project

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About Course

Project Overview

This project simulates a real-world commercial sales analytics engagement where a Data Analyst is tasked with delivering executive-level insights into sales performance across regions, stores, products, and sales channels.

Using Power BI, the project focuses on analysing current-year sales, budget alignment, and year-on-year performance, enabling business leaders to quickly understand where the business is winning, underperforming, or at risk.

The final deliverable is an interactive Power BI dashboard designed for decision-makers, with clear KPIs, drill-down capabilities, and dynamic narratives that explain what is happening and why.

 

Business Objective

The purpose of this project is to support commercial and strategic decision-making by answering key business questions such as:

  • Are we meeting our sales targets?

  • How does current performance compare to last year?

  • Which regions, stores, and channels are driving or dragging performance?

  • Are sales changes driven by volume, price, or customer behaviour?

Target Audience

  • Executives & Senior Leadership

  • Regional & Store Managers

  • Commercial & Finance Teams

Decisions Enabled

  • Resource reallocation across regions or stores

  • Channel investment decisions (online vs physical)

  • Performance management and forecasting

    DATASET

    • Check the exercise files for the project Dataset

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What Will You Learn?

  • Clean, transform, and validate raw sales and budget data from multiple sources to ensure accuracy and consistency.
  • Design and implement a star schema data model with fact and dimension tables for efficient analytics.
  • Develop advanced DAX measures for sales, budget variance, and year-on-year performance analysis.
  • Understand and apply core retail business metrics, including basket size, transaction value, channel mix, and profitability.
  • Build executive-level Power BI dashboards with drill-down, slicers, and intuitive navigation.
  • Translate analytical results into business insights using dynamic narratives that explain performance drivers and trends.

Course Content

Project Details

  • Understanding the project
  • Project Explanation – 1
    55:05
  • Project Explanation – 2
    51:44
  • Project Explanation – 3
    42:28
  • Project Explanation – 4
    51:15
  • Project Explanation – 5
    46:38

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