Design an interactive dashboard for business stakeholders.
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.
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)
- Tableau Desktop
- Microsoft Excel / CSV (for data source)
- Data Visualization & Interactive Filters
- Total Sales: ₹5,019,265
- Quantity Sold: 25,355 Units
- Average Discount: 15.24%
- Top Performing Region: North
- 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
- 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.
- Open the
.twbxTableau dashboard file in Tableau Desktop. - Use the slicers to filter by:
- Sale Date Range
- Region
- Product Category
- Hover or click on visuals for interactivity and tooltips.
- Drill down for granular insights by rep, region, or category.
- 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
- 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
Abhijeet Kuanr
📧 [email protected]
🔗 [# 📊 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.
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)
- Tableau Desktop
- Microsoft Excel / CSV (for data source)
- Data Visualization & Interactive Filters
- Total Sales: ₹5,019,265
- Quantity Sold: 25,355 Units
- Average Discount: 15.24%
- Top Performing Region: North
- 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
- 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.
- Open the
.twbxTableau dashboard file in Tableau Public. - Use the slicers to filter by:
- Sale Date Range
- Region
- Product Category
- Hover or click on visuals for interactivity and tooltips.
- Drill down for granular insights by rep, region, or category.
- The dashboard uses a sample sales dataset containing:
- Order Date
- Region
- Product Category
- Sales Amount
- Quantity
- Customer Type
- Payment Method
- Sales Rep
- 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
Abhijeet Kuanr
📧 [email protected]
🔗 www.linkedin.com/in/abhijeet-kuanr-6a2672160
This open-source project is available under the MIT License.