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🛒 AtliQ Mart Promotional Sales Analysis (FMCG Domain)

📘 Project Overview

This project is part of a data analysis challenge by Codebasics aimed at helping AtliQ Mart, a prominent FMCG retail chain in southern India, analyze the effectiveness of its promotional campaigns during Diwali 2023 and Sankranti 2024.

As a data analyst, I was tasked to deliver actionable insights directly to the Sales Director by analyzing sales data across stores, campaigns, products, and promotion types.


🎯 Objectives

  • Identify the top/bottom performing stores based on promotional uplift.
  • Compare the effectiveness of various promotion types (Discounts, BOGOF, Cashback).
  • Analyze the performance of product categories and specific SKUs.
  • Assist decision-making for future campaigns with data-backed insights.

🧾 Dataset Information

The project utilizes four key datasets:

File Name Description
fact_events.csv Sales events including pre- and post-promotion sales
dim_campaigns.csv Metadata about campaign names and dates
dim_products.csv Product information including category
dim_stores.csv Store and city-level information

📊 Power BI Dashboard Highlights

🔹 Store Performance Analysis

  • Top 10 stores by Incremental Revenue (IR)
  • Bottom 10 stores by Incremental Sold Units (ISU)
  • Store-wise performance trends across major cities

Dashboard - Store Analysis

🔹 Promotion Type Effectiveness

  • Cashback and BOGOF outperformed high-percentage discounts
  • 25% OFF and 50% OFF yielded minimal or negative uplift
  • Cashback struck the best balance between revenue and units sold

Dashboard - Promotion Analysis

🔹 Product & Category Insights

  • Grocery & Staples and Combo Packs showed strong positive response
  • Product-level breakdown reveals best and worst performing SKUs

Dashboard - Product & Promo Insights


📌 Key Metrics Used

  • ISU = Incremental Sold Units
  • IR = Incremental Revenue
  • % Increase in Units Sold
  • Revenue Per Unit
  • Promotion Margin Impact (Derived where applicable)

🧠 Insights & Recommendations

  • Cashback promotions drive the highest revenue and healthy margins.
  • BOGOF offers significantly boost unit sales, especially in commodity categories.
  • Focus promotions on combo packs and home/grocery essentials.
  • Replicate strategies from top-performing stores in cities like Mysuru & Bengaluru.
  • Avoid over-reliance on high discounts; they may erode margins without driving volume.

🛠 Tools & Skills Applied

  • Power BI – Data modeling, DAX, interactive dashboards
  • SQL (assumed) – For ad-hoc queries and metrics preparation
  • FMCG Analytics – Domain knowledge applied for actionable interpretation
  • Data Storytelling – Delivered via clear visual narratives and KPIs


👋 Contact

Rohanur Rahman
LinkedIn | Portfolio | Email


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Analyzing AtliQ Mart’s Diwali & Sankranti 2024 promotions to uncover store, product, and campaign-level insights for better FMCG sales strategy.

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