Data validation Techniques

Hello Kmanikanta ,

Power BI does not have built-in data validation tools like databases, but you can use various techniques to ensure your data is accurate, complete, and reliable. Here's an overview of key data validation techniques in Power BI:

* Data Source Validation. For example you use SQL data source, you can write a query to count records in the source and compare it with Power BI's visual or table counts.
* Schema Validation. Ensure the data structure (e.g., column names, data types, and relationships). For example validate column names and data types in Power Query.
* Null or Missing Data Checks. You can ıdentify and handle missing or null values in the dataset. you can use Power Query to filter and check for null values.

* Duplicate Data Checks you can ıdentify and remove duplicate rows or values. you can use Power Query to remove duplicates in a table.
* Date Validation you can validate that date fields are complete and sequential.
* Summary and Aggregate Validations you can validate summary metrics like totals and averages.

Kind Regards,
Gökberk Uzuntaş

📌 If this post helps, then please consider Accepting it as a solution and giving Kudos — it helps other members find answers faster!

🔗 Stay Connected:
📘 Medium |
📺 YouTube |
💼 LinkedIn |
📷 Instagram |
🐦 X |
👽 Reddit |
🌐 Website |
🎵 TikTok |