How to Check Data Source of Power BI Report

Inheriting a Power BI report can feel like being handed the keys to a car without knowing what's under the hood. You see the polished charts and gauges, but the most important question is often the hardest to answer: where is all this data actually coming from? This guide will walk you through the various ways to find the data source for any Power BI report, whether you're using the Desktop application or viewing it online.

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Three Ways to Find Your Power BI Data Source

There isn’t one single place to find the data source, because it depends on your level of access and where you are viewing the report. We'll cover the three most common scenarios, starting with the most direct method in Power BI Desktop.

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1. In Power BI Desktop: The Most Direct Method

If you have the original .pbix file, opening it in Power BI Desktop is the clearest way to see exactly how your report is connected to its data. There are two primary places to look within Desktop.

Method A: Using Data Source Settings

The "Data source settings" dialog is your command center for managing all data connections for a specific report. It gives you a quick, high-level overview of every source used.

• Step 1: Open your .pbix file in Power BI Desktop.
• Step 2: In the "Home" tab of the ribbon at the top of the screen, look for the "Queries" section.
• Step 3: Click the Transform Data button, and then in the dropdown menu, select Data source settings.

A new window will pop up, listing all the unique data sources used in your report. You can immediately see if the data is coming from a SQL server, an Excel file, a folder of CSVs, a SharePoint list, or a web API. Clicking on a source and selecting "Change Source" will often reveal the exact file path or server address.

Example: The list might show c:\Users\Sarah\Documents\Q3_Sales\RegionalSales.xlsx. You now know the report is tied to a specific local Excel file on Sarah's machine - a potential issue for team-wide refreshes!

Method B: The Advanced Editor in Power Query

For a highly specific, under-the-hood look, the Power Query Editor's Advanced Editor is your best friend. It shows you the M code that Power BI writes to connect to and transform your data. Every data connection process starts here, so the source is always defined in the first couple of lines of code.

• Step 1: In the "Home" tab, click the Transform Data button to open the Power Query Editor.
• Step 2: In the left-hand pane, you'll see a list of all your queries (which often correspond to your data tables). Select the query you want to investigate.
• Step 3: With the query selected, go to the "Home" tab in the Power Query Editor ribbon and click on Advanced Editor.

A window will pop up showing the M code for that query. The source will typically be declared in the first line. This is the ultimate source of truth.

For example, you might see code that looks like this for an Excel file:

let
    Source = Excel.Workbook(File.Contents("C:\Reports\SalesData\Q3_sales.xlsx"), null, true),
    Sales_Sheet = Source{[Item="Sales",Kind="Sheet"]}[Data],
    #"Promoted Headers" = Table.PromoteHeaders(Sales_Sheet, [PromoteAllScalars=true])
in
    #"Promoted Headers"

Right away, the Source line tells you the exact file path. For a SQL database, it might look like this:

let
    Source = Sql.Database("azuresql.database.windows.net", "SalesDB"),
    dbo_Orders = Source{[Schema="dbo",Item="Orders"]}[Data]
in
    dbo_Orders

This shows the server address (azuresql.database.windows.net) and the database name (SalesDB).

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2. In the Power BI Service (Online): For Viewers and Consumers

What if you don’t have the .pbix file and can only view the report online in app.powerbi.com? You can still find information about the data source, just not with the same level of detail as in Power BI Desktop.

In the Power BI service, reports are separate from their underlying datasets. The data source information is attached to the dataset, not the visual report itself.

• Step 1: Navigate to the Workspace where the report is located.
• Step 2: Find the Dataset associated with the report. It will usually have the same name as the report and a green icon.
• Step 3: Hover over the dataset and click the three vertical dots (...) for "More options."
• Step 4: Select Settings from the menu.

On the Settings page, look for the sections called "Gateway connection" or "Data source credentials."

• Gateway connection: If you see this, it means the data is on-premises (located on a local server or a user's computer, not in the cloud). The report is using a data gateway to securely refresh the data in the cloud. This tells you the source isn't a simple cloud service like SharePoint Online or Azure SQL.
• Data source credentials: This section will list the data sources and prompt for an owner to edit or enter their credentials. Even if they are blank, the name of the source can give you a clear clue. For example, it might say "SharePoint" or "Snowflake," telling you the type of technology involved.

While this view won't give you the exact file path or server name, it provides crucial context about where the data lives (on-premises vs. cloud) and what type of system it is connected to.

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3. If You Only Have the .pbix File (But Can't Open It)

Here’s a trick for more advanced users. A .pbix file is actually a compressed archive, like a zip file. You can peek inside to find the connection details without even opening Power BI Desktop.

1. Make a copy of the .pbix file (important: always work with a copy!).
2. Rename the file extension from .pbix to .zip.
3. Now, open the newly renamed .zip file with Windows Explorer or any zip utility.
4. Navigate into the \DataModel folder. Sometimes you might have to look in the \Connections file first or a similar folder.
5. The raw connection data is stored inside files in this folder, often a file named DataMashup. While not easily human-readable, this file contains all the Power Query M language script defining the connections.

This method is technical and a last resort, but it proves that all the information is self-contained within the .pbix file itself.

Why Does Finding the Data Source Matter?

Knowing where your data comes from isn't just a technical exercise, it's a matter of trust and reliability in your reporting. Here’s why it’s so important:

• Troubleshooting Refresh Errors: The most common Power BI error is "refresh failed." The first step to fixing it is identifying the source. Was the Excel file moved? Did the server password change? Did a network drive become unavailable? You can't fix the problem if you don't know where to look.
• Understanding Data Freshness: Is your report sourcing data from a live database connection (DirectQuery) or from an imported file that only refreshes once a day (Import Mode)? The source determines how up-to-date your data is, which is critical for making timely decisions.
• Collaboration and Handoff: When you hand a report over to a colleague, they need to know what files or databases are required to keep it running. Documenting the data sources makes for a much smoother transition.
• Performance Optimization: A report running slowly might be pulling massive amounts of data from an inefficient source. Identifying the source is the first step toward optimizing query performance and making your dashboards faster.

Final Thoughts

Figuring out where your data lives is the first step to truly owning and trusting your Power BI reports. By looking in Desktop's Data Source Settings, checking the Advanced Editor, or examining the Dataset Settings in the Power BI Service, you can uncover the foundation of any report and move forward with confidence.

The entire process of navigating different menus demonstrates how complex it can be to get straightforward answers about your data. We wanted to make this simpler for sales and marketing teams, which is why we built Graphed. Our platform connects directly to data sources like Google Analytics, Shopify, and Salesforce in seconds. Instead of a multi-step investigation, you can create a dashboard using plain English and trust that the data connections are handled for you, always pulling live information, so you can focus on insights instead of infrastructure.