Comprehensive Business Dashboard Development -- 2
Budget: ₹750 – ₹1,250 INR
I i want my dashboard with multiple tools
Tableau or Power BI: For core business intelligence
Both Tableau and Power BI excel at creating interactive dashboards for executive summaries and detailed performance tracking.
Common features
Data connection: Connect directly to databases, spreadsheets, or cloud services.
Core visuals: Build charts for financial and operational metrics such as total sales, gross profit, and table turnover.
Interactivity: Add filters and drill-downs for a true exploratory environment.
Custom visuals: Pin key visuals to a central dashboard in Power BI, or use a "story" feature in Tableau to walk users through data.
Tableau example layout
Top: Filters for date range, location, and product type.
KPIs: High-level metrics for sales, profit, and average order value.
Charts: Line graphs for sales and profit over time, bar charts for performance by product or region, and a treemap for sales contribution by item.
Geospatial (optional): Create a map visualizing performance across different store locations.
Power BI example layout
Navigation: Use buttons on the side to switch between different report pages, such as "Sales," "Inventory," and "Customers".
Main page: Showcase key metrics with dynamic charts and graphs.
Detail pages: Use a matrix visual to show sales by month and shipping mode or a decomposition tree to analyze the flow of orders.
Inventory analysis: Display stock levels, inventory turnover, and cost of goods sold.
ArcGIS: For location intelligence and expansion planning
Use ArcGIS to add a powerful spatial component to your analysis, especially for multi-location businesses.
Tableau or Power BI: For core business intelligence
Both Tableau and Power BI excel at creating interactive dashboards for executive summaries and detailed performance tracking.
Common features
Data connection: Connect directly to databases, spreadsheets, or cloud services.
Core visuals: Build charts for financial and operational metrics such as total sales, gross profit, and table turnover.
Interactivity: Add filters and drill-downs for a true exploratory environment.
Custom visuals: Pin key visuals to a central dashboard in Power BI, or use a "story" feature in Tableau to walk users through data.
Tableau example layout
Top: Filters for date range, location, and product type.
KPIs: High-level metrics for sales, profit, and average order value.
Charts: Line graphs for sales and profit over time, bar charts for performance by product or region, and a treemap for sales contribution by item.
Geospatial (optional): Create a map visualizing performance across different store locations.
Power BI example layout
Navigation: Use buttons on the side to switch between different report pages, such as "Sales," "Inventory," and "Customers".
Main page: Showcase key metrics with dynamic charts and graphs.
Detail pages: Use a matrix visual to show sales by month and shipping mode or a decomposition tree to analyze the flow of orders.
Inventory analysis: Display stock levels, inventory turnover, and cost of goods sold.
ArcGIS: For location intelligence and expansion planning
Use ArcGIS to add a powerful spatial component to your analysis, especially for multi-location businesses.