Multiple data sources in one report in Power BI - Step-by-Step Guide

Introduction

This feature lets you bring data from different places into one Power BI report. It helps you combine information from various sources to get a complete view without switching reports.

When you want to see sales data from your Excel file and customer info from a database in one report.

When your marketing team uses Google Analytics but finance uses SQL Server, and you need both data sets together.

When you have product data in a CSV file and inventory data in a cloud service and want to analyze them side by side.

When you want to compare data from last year stored in one system with this year's data in another.

When you need to create a dashboard that shows data from multiple departments using different tools.

Steps

Step 1: Click

- Home tab > Get Data button

The Get Data window opens showing a list of data source options

Step 2: Select

- Choose your first data source type (e.g., Excel, SQL Server)

A file picker or connection window appears to connect to the first data source

Step 3: Load

- Navigator window after selecting tables or sheets

The selected data loads into Power BI and appears in the Fields pane

Step 4: Repeat

- Home tab > Get Data button

You can add another data source; the new data also appears in the Fields pane

Step 5: Go to

- Model view

You see tables from all data sources and can create relationships between them

Step 6: Create

- Drag fields between tables in Model view

Relationships are created to connect data from different sources for combined analysis

Step 7: Build

- Report view

Use fields from all data sources to create visuals on the same report page

Before vs After

Before

Report has data only from an Excel file showing sales numbers

After

Report shows sales from Excel combined with customer details from SQL Server, all in one dashboard

Settings Reference

Data source credentials

📍 Home tab > Transform data > Data source settings

Manage how Power BI connects securely to each data source

Default: Depends on data source

Data refresh schedule

📍 Power BI Service > Dataset settings

Set how often Power BI updates data from each source

Default: Manual

Relationship cardinality

📍 Model view > Relationship editor

Define how tables from different sources relate to each other

Default: One to many

Common Mistakes

Not setting up relationships between tables from different sources

Without relationships, visuals may not combine data correctly, showing incomplete or wrong results

Always create relationships in Model view to link tables logically

Using different data types for matching columns across sources

Power BI cannot create relationships if the data types do not match, causing errors

Ensure columns used for relationships have the same data type before linking

Ignoring data refresh settings after adding multiple sources

Data may become outdated if refresh is not configured properly for all sources

Set up refresh schedules for each data source in Power BI Service

Summary

You can add many data sources into one Power BI report to see all your data together.

Create relationships between tables from different sources to combine data correctly.

Remember to manage credentials and refresh settings for each data source.

Practice

1. What is the main benefit of using multiple data sources in one Power BI report?

easy

A. You can combine different types of data for richer insights.

B. It automatically cleans all data without user input.

C. It limits the report to only one data table.

D. It removes the need for relationships between tables.

Solution

1. Step 1: Understand the purpose of multiple data sources

   Multiple data sources allow combining different datasets to get a fuller picture.

2. Step 2: Identify the benefit in report insights

   Combining data from various sources enriches the analysis and insights.

3. Final Answer:

   You can combine different types of data for richer insights. -> Option A

4. Quick Check:

   Multiple data sources = richer insights [OK]

Hint: Multiple sources mean combining data for better insights [OK]

Common Mistakes:

• Thinking multiple sources clean data automatically
• Believing multiple sources limit data to one table
• Assuming relationships are not needed

2. Which of the following is the correct way to add a new data source in Power BI Desktop?

easy

A. Right-click on a visual and select Add Data Source

B. Use the Modeling tab to create a new data source

C. Go to Home tab > Get Data > Choose source > Load

D. Drag and drop files directly onto the report canvas

Solution

1. Step 1: Recall the process to add data

   In Power BI Desktop, new data sources are added via Home tab's Get Data option.

2. Step 2: Confirm the correct menu and steps

   Choose the source type and then load the data into the report.

3. Final Answer:

   Go to Home tab > Get Data > Choose source > Load -> Option C

4. Quick Check:

   Get Data on Home tab = add source [OK]

Hint: Use Home > Get Data to add sources [OK]

Common Mistakes:

• Trying to add data from the Modeling tab
• Right-clicking visuals to add data
• Dragging files onto the canvas doesn't load data

3. Given two tables from different data sources: Sales and Products, which DAX formula correctly calculates total sales amount by product category assuming a relationship exists?

medium

A. Total Sales = SUM(Sales[Amount])

B. Total Sales = CALCULATE(SUM(Sales[Amount]), Products[Category])

C. Total Sales = SUMX(Products, RELATED(Sales[Amount]))

D. Total Sales = SUMX(Products, SUM(Sales[Amount]))

Solution

1. Step 1: Understand the relationship usage

   With a relationship between Sales and Products, SUM(Sales[Amount]) aggregates sales correctly by category in visuals.

2. Step 2: Evaluate each formula

   Total Sales = SUM(Sales[Amount]) sums Sales amount directly, which works with relationships. Total Sales = CALCULATE(SUM(Sales[Amount]), Products[Category]) syntax is invalid. Total Sales = SUMX(Products, RELATED(Sales[Amount])) misuses RELATED. Total Sales = SUMX(Products, SUM(Sales[Amount])) incorrectly sums the grand total for each product row, inflating results.

3. Final Answer:

   Total Sales = SUM(Sales[Amount]) -> Option A

4. Quick Check:

   SUM with relationships = correct total [OK]

Hint: Use SUM on sales column when relationships exist [OK]

Common Mistakes:

• Using CALCULATE without filter expression
• Misusing RELATED in SUMX
• Overcomplicating simple SUM aggregation

4. You imported two data sources but your report shows no combined data. What is the most likely issue?

medium

A. You added too many visuals on the report page.

B. You did not refresh the data after import.

C. You used the wrong file format for import.

D. You forgot to create relationships between tables.

Solution

1. Step 1: Identify why combined data is missing

   Without relationships, tables from different sources cannot connect, so combined data won't show.

2. Step 2: Check other options

   Refreshing data or file format issues usually cause errors, not missing combined data. Too many visuals do not affect data combination.

3. Final Answer:

   You forgot to create relationships between tables. -> Option D

4. Quick Check:

   Missing relationships = no combined data [OK]

Hint: Create relationships to combine data sources [OK]

Common Mistakes:

• Ignoring relationships after importing data
• Assuming refresh fixes missing relationships
• Blaming visuals for data connection issues

5. You have sales data from Excel and customer data from SQL Server. You want to create a report showing total sales per customer region. How should you combine these sources effectively?

hard

A. Create separate reports for each source and link them with bookmarks.

B. Load both sources, create a relationship between customer IDs, then build visuals using fields from both tables.

C. Load only the sales data and manually type customer regions in Power BI.

D. Merge the Excel and SQL tables into one before loading into Power BI.

Solution

1. Step 1: Load both data sources separately

   Import Excel sales data and SQL customer data into Power BI as separate tables.

2. Step 2: Create a relationship between customer IDs

   Link the tables on customer ID to connect sales with customer regions.

3. Step 3: Build visuals using fields from both tables

   Use the relationship to show total sales by customer region in one report.

4. Final Answer:

   Load both sources, create a relationship between customer IDs, then build visuals using fields from both tables. -> Option B

5. Quick Check:

   Separate sources + relationship + visuals = combined report [OK]

Hint: Load sources, relate keys, then build combined visuals [OK]

Common Mistakes:

• Trying to merge tables outside Power BI unnecessarily
• Ignoring relationships and typing data manually
• Splitting data into separate reports instead of combining