https://github.com/hruth-vik/sales-analysis-report

SalesScope is a powerful sales analytics dashboard that extracts insights, reveals trends, and drives strategy from raw data.
https://github.com/hruth-vik/sales-analysis-report

analytics data powerbi-report powerbi-visuals python

Last synced: 2 months ago
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SalesScope is a powerful sales analytics dashboard that extracts insights, reveals trends, and drives strategy from raw data.

• Host: GitHub
• URL: https://github.com/hruth-vik/sales-analysis-report
• Owner: Hruth-Vik
• Created: 2025-07-02T05:01:23.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2025-07-02T05:08:18.000Z (12 months ago)
• Last Synced: 2025-07-02T06:22:49.964Z (12 months ago)
• Topics: analytics, data, powerbi-report, powerbi-visuals, python
• Language: Jupyter Notebook
• Homepage:
• Size: 16.4 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
📊 Sales Report Analysis Dashboard




  Python + SQL + Power BI


  End-to-end sales data pipeline from raw extraction to visual storytelling



---

## 🔍 Overview

Welcome to the **Sales Report Analysis** project — a full-cycle analytical workflow that extracts, processes, and visualizes sales data to uncover trends, growth patterns, and business opportunities using:

> 🐍 Python | 🗃️ SQL | 📈 Power BI

This project helps businesses make **data-backed decisions** through **insightful dashboards** and KPIs that are clear, interactive, and tailored for action.

---

## 📸 Power BI Dashboard Snapshots

### 🟩 Executive Overview & Sales Trends  

A high-level summary showing key KPIs, revenue trends, and time-based performance for quick decision-making.

![Executive Overview](./Sample%20pics/pic1.png)

---

### 🟦 Product & Channel Performance  

Visual analysis of product categories, sales channels, and their contribution to revenue.

![Product & Channel](./Sample%20pics/pic2.png)

---

### 🟪 Geographical & Customer Revenue Insights  

Insights into region-wise sales distribution and customer segmentation based on revenue contribution.

![Geographical & Customer](./Sample%20pics/pic3.png)

---

## 🧰 Tech Stack

| Tool        | Purpose                                 |

|-------------|------------------------------------------|

| 🐍 Python   | Data cleaning, EDA, preprocessing        |

| 🗃️ SQL      | Data extraction, joins, aggregations     |

| 📈 Power BI | Visual dashboards, KPIs, storytelling    |

---

## 🚀 Objectives

- 📊 Track **monthly & yearly sales trends**

- 🧠 Discover **top-performing products & regions**

- 🔍 Analyze **customer segments & buying behavior**

- 🎯 Visualize **KPIs** like revenue, growth, retention

---

## 🧱 Project Structure

```bash

Sales-Report-Analysis/

├── data/             # Raw and cleaned datasets

├── notebooks/        # Python notebooks for EDA & transformation

├── sql/              # SQL queries used for data extraction

├── Sample pics/      # Power BI dashboard screenshots

│   ├── pic1.png

│   ├── pic2.png

│   └── pic3.png

└── README.md         # Project documentation