Dataflow scheduling and app refresh for Analytics for Consumer Goods
Key Takeaway
Schedule the refresh on the Analytics for Consumer Goods app itself. A scheduled app refresh runs every data asset tied to the app, such as recipes, dataflows, connectors, Einstein Discovery models, and prediction definitions, in the required order.
Analytics for Consumer Goods is a CRM Analytics app that you create from a template in an org with Agentforce Consumer Goods. Creating the app sets up dataflows that bring the latest data into CRM Analytics. To keep the app's dashboards current, you schedule the app to refresh every day.
What an app refresh runs
Creating an app from the Analytics for Consumer Goods template includes dataflows that import the latest data into CRM Analytics. Schedule the app to refresh every day so it always uses up-to-date data. You set the schedule on the app itself. The app refresh then makes sure the app's dataflows run in the correct order.
An app refresh runs more than dataflows, because it runs every data asset tied to the app in the required order. The data assets tied to the app include these:
- Recipes
- Dataflows
- Connectors
- Einstein Discovery models
- Prediction definitions
Marco manages an Analytics for Consumer Goods app. The app has a connector, two dataflows, a recipe, and an Einstein Discovery model tied to it. Marco sets one schedule on the app. Each night, the app refresh runs all five assets in the required order, so Marco doesn't have to work out which asset runs first.