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https://github.com/abhijeet107/task-4

Design an interactive dashboard for business stakeholders.
https://github.com/abhijeet107/task-4

data-analysis excel-csv tableau-dashboards tableau-public

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Design an interactive dashboard for business stakeholders.

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README

          

# Task-4
Design an interactive dashboard for business stakeholders.

# 📊 Interactive Sales Dashboard - Tableau

Welcome to the **Interactive Sales Dashboard** project!
This dashboard was created using **Tableau** to provide business stakeholders with a comprehensive view of sales performance across various dimensions including time, region, product category, and customer behavior.

---

## 📁 Project Overview

This dashboard enables users to:
- Monitor **Total Sales**, **Quantity Sold**, and **Average Discount**
- Identify **Top Performing Regions** and **Products**
- Analyze **Sales Trends Over Time**
- Visualize **Customer & Payment Insights**
- Track **Sales by Region and Sales Representatives**
- Apply **dynamic filters** (Date, Region, Product Category)

---

## 🛠️ Tools & Technologies

- **Tableau Desktop**
- **Microsoft Excel / CSV** (for data source)
- **Data Visualization & Interactive Filters**

---

## 📸 Dashboard Highlights

![Screenshot 2025-04-11 124255](https://github.com/user-attachments/assets/afd272aa-c70d-444a-9e57-5204502517c2)

### 🎯 KPIs
- **Total Sales:** ₹5,019,265
- **Quantity Sold:** 25,355 Units
- **Average Discount:** 15.24%
- **Top Performing Region:** North

### 📈 Visual Components
- **Line Chart** – Sales Trend Over Time
- **Pie Chart** – Payment Method Breakdown
- **Bar Charts** – Product Performance by Region
- **Rep-wise Sales Comparison**
- **Interactive Filters** for date, region, and product category

---

## 🧠 Key Insights

- **North** is the highest-performing region.
- **Clothing** and **Food** lead in sales among product categories.
- Payment methods are **diversely distributed** between Credit Card, Bank Transfer, and Cash.
- Sales reps' performance shows regional variation, allowing for targeted team evaluation.

---

## 📌 How to Use

1. Open the `.twbx` Tableau dashboard file in **Tableau Desktop**.
2. Use the slicers to filter by:
- Sale Date Range
- Region
- Product Category
3. Hover or click on visuals for interactivity and tooltips.
4. Drill down for granular insights by rep, region, or category.

---

## 📥 Data Source

- The dashboard uses a **sample sales dataset** containing:
- Order Date
- Region
- Product Category
- Sales Amount
- Quantity
- Customer Type
- Payment Method
- Sales Rep
- Link of data set used- https://www.kaggle.com/datasets/vinothkannaece/sales-dataset
---

## 🚀 Future Enhancements

- Add **Profit Margin** & **Customer Lifetime Value (CLV)** analysis
- Deploy on **Tableau Public / Tableau Server**
- Include **Top N Region Slicer** and **forecasting models**
- Add **Geospatial Maps** for visual regional insights

---

## 👨‍💻 Author

**Abhijeet Kuanr**
📧 abhijeet.kuanr@gmail.com
🔗 [# 📊 Interactive Sales Dashboard - Tableau - https://public.tableau.com/app/profile/abhijeet.kuanr/viz/InteractiveSalesDashboard_17443552413880/Dashboard1]

Welcome to the **Interactive Sales Dashboard** project!
This dashboard was created using **Tableau** to provide business stakeholders with a comprehensive view of sales performance across various dimensions including time, region, product category, and customer behavior.

---

## 📁 Project Overview

This dashboard enables users to:
- Monitor **Total Sales**, **Quantity Sold**, and **Average Discount**
- Identify **Top Performing Regions** and **Products**
- Analyze **Sales Trends Over Time**
- Visualize **Customer & Payment Insights**
- Track **Sales by Region and Sales Representatives**
- Apply **dynamic filters** (Date, Region, Product Category)

---

## 🛠️ Tools & Technologies

- **Tableau Desktop**
- **Microsoft Excel / CSV** (for data source)
- **Data Visualization & Interactive Filters**

---

## 📸 Dashboard Highlights

### 🎯 KPIs
- **Total Sales:** ₹5,019,265
- **Quantity Sold:** 25,355 Units
- **Average Discount:** 15.24%
- **Top Performing Region:** North

### 📈 Visual Components
- **Line Chart** – Sales Trend Over Time
- **Pie Chart** – Payment Method Breakdown
- **Bar Charts** – Product Performance by Region
- **Rep-wise Sales Comparison**
- **Interactive Filters** for date, region, and product category

---

## 🧠 Key Insights

- **North** is the highest-performing region.
- **Clothing** and **Food** lead in sales among product categories.
- Payment methods are **diversely distributed** between Credit Card, Bank Transfer, and Cash.
- Sales reps' performance shows regional variation, allowing for targeted team evaluation.

---

## 📌 How to Use

1. Open the `.twbx` Tableau dashboard file in **Tableau Public**.
2. Use the slicers to filter by:
- Sale Date Range
- Region
- Product Category
3. Hover or click on visuals for interactivity and tooltips.
4. Drill down for granular insights by rep, region, or category.

---

## 📥 Data Source

- The dashboard uses a **sample sales dataset** containing:
- Order Date
- Region
- Product Category
- Sales Amount
- Quantity
- Customer Type
- Payment Method
- Sales Rep

---

## 🚀 Future Enhancements

- Add **Profit Margin** & **Customer Lifetime Value (CLV)** analysis
- Deploy on **Tableau Public / Tableau Server**
- Include **Top N Region Slicer** and **forecasting models**
- Add **Geospatial Maps** for visual regional insights

---

## 👨‍💻 Author

**Abhijeet Kuanr**
📧 abhijeet@example.com
🔗 [www.linkedin.com/in/abhijeet-kuanr-6a2672160](#)

---

## 📄 License

This open-source project is available under the [MIT License](LICENSE).