Skip to content

Latest commit

 

History

4 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 

Repository files navigation

🛒 Blinkit Business Analysis Dashboard (Power BI Project)

📌 Project Purpose

A complete business performance dashboard built in Power BI to analyze Blinkit’s outlet-wise performance across locations, sizes, and item types. The dashboard helps business managers track revenue, outlet establishment trends, product performance, and customer ratings to make better strategic decisions.


🛠️ Tech Stack

  • Power BI Desktop
  • Power Query (M) for data transformation
  • DAX (Data Analysis Expressions) for KPI measures
  • Excel (.xlsx) as data source

📊 Data Source

Format: Excel (.xlsx) Records: ~8,500 product entries Fields include: Outlet ID, Outlet Type, Outlet Location, Item Type, Outlet Size, Year of Establishment, Total Sales, Average Rating, Number of Items, and Item Visibility. Source: Simulated Blinkit dataset created for learning and visualization purposes


✨ Features & Highlights

🧩 5.4.1 Business Problem

Blinkit’s management wanted a clear view of outlet-level business performance, including total sales, customer feedback, and product category distribution. They also needed insights into which outlet locations, item types, and fat contents generate higher sales.

🎯 5.4.2 Dashboard Goals

  • Track total revenue, average sales, and customer ratings
  • Analyze outlet performance by type, size, and location
  • Identify top-performing item categories and fat content types
  • Study year-wise outlet establishment trends
  • Enable managers to compare outlets using interactive slicers

📊 5.4.3 Key Visuals

  • KPI Cards: Total Sales, Average Rating, Average Sales, Number of Items

  • Line Chart: Outlet Establishment Trend (2012–2022)

  • Donut Chart: Outlet Size Distribution

  • Bar Charts:

    • Outlet Location Contribution
    • Fat Content by Outlet
    • Item Type-wise Revenue
  • Table: Outlet Type Performance with key KPIs

  • Filter Panel: Dynamic filters for Outlet Location, Size, and Item Type


💼 5.4.4 Business Impact & Insights

  • Supermarket Type1 outlets generate the highest business revenue of $787.55K — showing strong customer trust.
  • Tier 3 locations lead with $472.13K, highlighting high order volume from smaller cities.
  • Regular fat items drive higher business compared to low-fat ones.
  • Fruits, snacks, and household goods rank as the top item categories by revenue.
  • Average customer rating of 3.9 across all outlets indicates consistent satisfaction levels.
  • Outlet establishment peaked around 2018, reflecting Blinkit’s rapid growth phase.

🖼️ Dashboard Preview

🖼️ View Full Dashboard Image


📎 Extras

  • Custom filter panel for user-friendly analysis
  • Consistent yellow-green theme inspired by Blinkit branding
  • Dynamic DAX measures for real-time KPI calculation
  • Interactive design for location and outlet-based exploration

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors