# udayydubey/blinkit-case-study architecture

> Architecture diagram of the GitHub repository udayydubey/blinkit-case-study, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-11-10). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/udayydubey/blinkit-case-study
- Repository: https://github.com/udayydubey/blinkit-case-study

## Overview

This repository is an analytics case study, not an application: its workflow is to inspect the cleaned grocery dataset, explore performance in an interactive Power BI report, and consult a PDF for findings and recommendations. The README describes the report’s three analytical pages and DAX measures, but no source excerpts are available, so relationships below rely only on documented workflow and capabilities.

Main entry points: [`blinkit Report.pbix`](https://github.com/udayydubey/blinkit-case-study/blob/main/blinkit%20Report.pbix) (DAX measures), [`Blinkit Cleaned Dataset.xlsx`](https://github.com/udayydubey/blinkit-case-study/blob/main/Blinkit%20Cleaned%20Dataset.xlsx) (Cleaned dataset), [`BlinkITCase Study Report.pdf`](https://github.com/udayydubey/blinkit-case-study/blob/main/BlinkITCase%20Study%20Report.pdf) (Case study findings)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_data["Data preparation"]
  node_dataset["Cleaned dataset"]
end

subgraph group_analysis["Power BI analysis"]
  node_measures["DAX measures"]
  node_executive["Executive summary"]
  node_productoutlet["Product & outlet analysis"]
  node_performance["Outlet performance"]
end

subgraph group_communication["Case study"]
  node_case["Case study findings"]
end

node_analyst(("Analyst"))

node_analyst -->|"inspects"| node_dataset
node_dataset -->|"informs analysis"| node_measures
node_measures -->|"supports"| node_executive
node_measures -->|"supports"| node_productoutlet
node_measures -->|"supports"| node_performance
node_analyst -->|"explores"| node_executive
node_analyst -->|"explores"| node_productoutlet
node_analyst -->|"explores"| node_performance
node_analyst -->|"reads findings"| node_case

click node_dataset "https://github.com/udayydubey/blinkit-case-study/blob/main/Blinkit%20Cleaned%20Dataset.xlsx"
click node_measures "https://github.com/udayydubey/blinkit-case-study/blob/main/blinkit%20Report.pbix"
click node_executive "https://github.com/udayydubey/blinkit-case-study/blob/main/blinkit%20Report.pbix"
click node_productoutlet "https://github.com/udayydubey/blinkit-case-study/blob/main/blinkit%20Report.pbix"
click node_performance "https://github.com/udayydubey/blinkit-case-study/blob/main/blinkit%20Report.pbix"
click node_case "https://github.com/udayydubey/blinkit-case-study/blob/main/BlinkITCase%20Study%20Report.pdf"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_dataset toneBlue
class node_measures,node_executive,node_productoutlet,node_performance toneAmber
class node_case toneMint
class node_analyst toneIndigo
```

## Components

### Data preparation

- [Cleaned dataset](https://github.com/udayydubey/blinkit-case-study/blob/main/Blinkit%20Cleaned%20Dataset.xlsx): `Blinkit Cleaned Dataset.xlsx`

### Power BI analysis

- [DAX measures](https://github.com/udayydubey/blinkit-case-study/blob/main/blinkit%20Report.pbix): `blinkit Report.pbix`
- [Executive summary](https://github.com/udayydubey/blinkit-case-study/blob/main/blinkit%20Report.pbix): `blinkit Report.pbix`
- [Product & outlet analysis](https://github.com/udayydubey/blinkit-case-study/blob/main/blinkit%20Report.pbix): `blinkit Report.pbix`
- [Outlet performance](https://github.com/udayydubey/blinkit-case-study/blob/main/blinkit%20Report.pbix): `blinkit Report.pbix`

### Case study

- [Case study findings](https://github.com/udayydubey/blinkit-case-study/blob/main/BlinkITCase%20Study%20Report.pdf): `BlinkITCase Study Report.pdf`

### Other components

- **Analyst**

## Connections

- Analyst → Cleaned dataset: inspects (evidence: `README.md`)
- Cleaned dataset → DAX measures: informs analysis (evidence: `README.md`)
- DAX measures → Executive summary: supports (evidence: `README.md`)
- DAX measures → Product & outlet analysis: supports (evidence: `README.md`)
- DAX measures → Outlet performance: supports (evidence: `README.md`)
- Analyst → Executive summary: explores (evidence: `README.md`)
- Analyst → Product & outlet analysis: explores (evidence: `README.md`)
- Analyst → Outlet performance: explores (evidence: `README.md`)
- Analyst → Case study findings: reads findings (evidence: `README.md`)