Dashboard Mode - Composite models
Dashboard Goal
Understand sales performance by combining data from local sales and online sales sources in one dashboard.
Understand sales performance by combining data from local sales and online sales sources in one dashboard.
| Store | Month | Sales |
|---|---|---|
| Store A | Jan | 100 |
| Store B | Jan | 150 |
| Store A | Feb | 120 |
| Store B | Feb | 130 |
| Store A | Mar | 140 |
| Store B | Mar | 160 |
| Region | Month | Sales |
|---|---|---|
| East | Jan | 200 |
| West | Jan | 180 |
| East | Feb | 210 |
| West | Feb | 190 |
| East | Mar | 220 |
| West | Mar | 200 |
Total Local Sales = SUM('Local Sales'[Sales])Total Online Sales = SUM('Online Sales'[Sales])Local Sales by Month = SUM('Local Sales'[Sales])Online Sales by Month = SUM('Online Sales'[Sales])+----------------------+----------------------+ | Total Local Sales KPI | Total Online Sales KPI| +----------------------+----------------------+ | Bar Chart: Sales by Month | +--------------------------------------------------------------------+ | Detailed Sales Data Table | +--------------------------------------------------------------------+
A slicer on Month filters all components simultaneously. Selecting a month updates the KPI cards, bar chart, and table to show sales only for that month from both local and online data.
Another slicer on Store filters only the local sales data components (Total Local Sales KPI, Local Sales bars, and rows in the table with Store info).
A slicer on Region filters only the online sales data components (Total Online Sales KPI, Online Sales bars, and rows in the table with Region info).
If you add a filter for Month = Feb, which components update and what are their new values?