Power BI offers a powerful feature called What-If Parameters, which allows users to interact with their reports in real-time and perform scenario-based analysis.
In this blog, we’ll walk through:
🔹 What a What-If Parameter is
🔹 How to create one in Power BI
🔹 A practical use case with a sample dataset
Let’s dive in!
📊 Intro to the Dataset
For this example, I’m using a sales prediction dataset that estimates sales based on three conditions:
RA,A,SB
Rather than focusing on the model’s backend logic, this blog will guide you through building a user-friendly, interactive report using these three columns as parameters.
🛠️ Creating What-If Parameters
To add What-If Parameters in Power BI:
Step 1: Go to the Modeling tab and select New Parameter.
Create three parameters – one each for RA, A, and SB. Here are the settings I used for each:
⚡ Pro Tip: When you create a What-If parameter, Power BI will automatically generate:
- A parameter table
- A measure that returns the selected value from the slicer
📈 Using What-If Parameters
Now that our parameters are set up, we’ll use them in a measure to simulate how changes affect sales predictions.
Step 2: Create a Measure
This measure will calculate the predicted sales based on parameter values.
(You can plug in your model’s logic here using the parameter values.)
Step 3: Build the Report
🧩 Add Slicers: Drag the columns from the parameter tables onto the report canvas to create three slicers for RA, A, and SB.
🧮 Add a Card or Chart: Use your newly created measure to visualize the outcome — in our case, predicted sales.
Now when you adjust the slicer values, the sales prediction updates instantly, allowing users to explore different scenarios.
✅ Conclusion
What-If Parameters are an excellent tool to enhance interactivity and provide flexibility to end users. Whether it’s for forecasting, pricing scenarios, or operational decision-making — they bring your data to life.
💡 Want to try more What-If ideas?
Experiment with pricing changes, marketing budget simulations, or stock forecasting!
Best regards
Anmol Malviya
Sr. Data Analyst | Addend Analytics
Super User
