In plain words
Power BI is one member of the Power Platform family. Power Apps builds apps, Power Automate runs flows, Copilot Studio builds agents, and Dataverse stores data. Power BI is the member that helps people see what is happening.
On its own, a report only shows things. Joined with the other products, it lets people act. Picture a car dashboard with a warning light. Power BI is the warning light. Power Apps and Power Automate are the buttons that let you fix the problem without stopping the car.
Why it matters
In many companies, people read a report, spot a problem, then open a different system to fix it. They copy IDs by hand and switch between tabs. It is slow and mistakes happen.
When Power BI works with the rest of the platform, the whole loop happens in one place. A staff member sees an overdue high-priority ticket in the report, reassigns it from a small app inside the same page, and a flow emails the new owner. The report refreshes and the ticket drops off the overdue list.
How it works
1. Reading Dataverse data. Power BI has a Dataverse connector in Get data. You sign in with your work or school account, choose the environment, and pick tables such as Ticket and Category. Dataverse security still applies, so users see only rows they are allowed to see in Dataverse when the connection uses their identity. Choice columns such as Priority come through with their values and labels.
2. The Power Apps visual. This visual puts a canvas app inside a report. You add the visual, drag in the fields the app needs, and create or pick an app. The report passes the rows in the current filter context to the app. Inside the app, those rows are available as a special data source:
PowerBIIntegration.Data
When a user clicks a bar or a slicer in the report, the app receives the new set of rows. The app can then write back to Dataverse, for example to change a ticket’s status.
3. The Power Automate visual. This visual adds a button to the report. You drag in the data fields and build a flow for it. When a user clicks the button, the flow runs and receives the data currently in context. Typical uses: email a list of overdue tickets, post a message in Teams, or create a task.
4. Power Automate working with the service. The Power BI connector in Power Automate offers useful actions and triggers:
- An action to refresh a semantic model. A flow can load new data and then start a refresh, instead of waiting for the schedule. Some screens still call it a dataset.
- A trigger for data-driven alerts. You set an alert on a dashboard tile, such as a card, KPI or gauge. When the value crosses your threshold, the flow runs.
- Actions to export reports and to add rows to certain kinds of semantic models.
5. Embedding Power BI elsewhere.
| Where | How | What users see |
|---|---|---|
| Canvas app | The Power BI tile control | One tile from a dashboard in the service |
| Model-driven app | Power BI embedding, once enabled for the environment | Power BI reports or dashboards alongside Dataverse data |
| Microsoft Teams | A Power BI tab in a channel or chat, or the Power BI app in Teams | An interactive report inside the conversation |
In every case, the viewer still needs permission to see the Power BI content and the right licence. Embedding does not bypass security.
6. Which tool for which job.
| Need | Best fit |
|---|---|
| Edit or update records from inside a report | Power Apps visual |
| Run an action with one click from a report | Power Automate visual |
| React automatically when a number passes a limit | Data alert on a dashboard tile plus a flow |
| Refresh the model right after new data arrives | Flow with the refresh action |
| Show a live chart inside an app | Power BI tile in a canvas app, or embedding in a model-driven app |
| Discuss a report with a team | Power BI tab in Teams |
Example: Campus Help Desk
In the PL-900 track, tickets live in the Dataverse Ticket table. Staff use the "Help Desk Staff" model-driven app, and flows notify people. Here is how Power BI joins in.
- Connect. In Desktop, Get data, Dataverse. Choose the Help Desk environment and load Ticket and Category. (In this track we use the CSV copies instead, so everyone can follow along.)
- Report. Build a page showing open tickets by campus and priority.
- Act from the report. Add a Power Apps visual with Ticket ID, Status and Assigned to. The app lists the tickets in the current selection and has a button that reassigns the selected ticket in Dataverse.
- Escalate with one click. Add a Power Automate visual labelled "Email overdue list". Its flow sends the filtered tickets to the campus team lead.
- Alert. Publish, pin the "Open high-priority tickets" card to a dashboard, and set a data alert above a threshold you choose. A flow triggered by the alert posts to the IT team’s Teams channel.
- Share where people work. Add the report as a tab in the Help Desk Teams channel, and embed it in the "Help Desk Staff" model-driven app.
The result: staff see, decide and act without switching systems.
Common mistakes
- Thinking reports can edit data by themselves. Visuals only read. Write-back needs the Power Apps visual or a flow.
- Setting alerts on report visuals. Alerts belong to dashboard tiles in the service.
- Assuming embedding shares the report. Viewers still need access and a suitable licence.
- Mixing up the two visuals. Power Apps visual = an app with screens and forms. Power Automate visual = a button that runs a flow.
How the exam asks about it
- "Update records without leaving the report" points to the Power Apps visual.
- "Button in the report that sends an email or starts a process" points to the Power Automate visual.
- "Notify when a value exceeds a threshold" points to a data alert on a dashboard tile, optionally triggering a flow.
- "Refresh as soon as a load finishes" points to a flow using the refresh action.