Big Challenges in BI Report Testing
Decision-makers risk relying on inaccurate insights that can drive poor business outcomes and create compliance issues.
QuerySurge BI Tester
Validate your BI reports with ease-of-use,
speed, and confidence
Business Intelligence (BI) and Analytics adoption is accelerating, but validating the accuracy of data in BI reports remains difficult.
Traditional methods focus on comparing report outputs to the underlying data stores or to other reports, but this process is complicated by BI tools that transform data before displaying it.
As a result, testing becomes a manual process — time-consuming, error-prone, and unsustainable at scale.
QuerySurge BI Tester
QuerySurge BI Tester eliminates these challenges with a fully automated, no-code, low-code approach to testing BI and Analytics reports.
BI Tester validates data end-to-end — from sources such as databases, flat files, XML,Excel, and JSON, through big data lakes and data warehouses, all the way to the BI presentation layer.
BI Tester Capabilities
- Validate business logic in your reports
- Run complete regression tests on BI data
- Perform migration testing across BI vendors
- Validate upgrades between BI versions
- Compare reports across servers
- Pass parameters to reports for dynamic testing
- Query and validate report metadata
BI Vendor Support
- Microsoft Power BI
- Tableau
- IBM Cognos
- Strategy
(formerly MicroStrategy) - Oracle Business Intelligence
- SAP Business Objects
Frequently Asked Questions about BI Report Testing
(To expand the sections below, click on the +)
- How do you test BI reports effectively?
- How do you verify the visual layer (charts, KPIs, filters)?
- How do you test reports across multiple sources?
- How do I test Power BI reports?
- Which tools support automated BI report testing?
- Can BI testing integrate with DevOps workflows?
- Why would I need BI testing if I already test ETL?
How do you test BI reports effectively?
Automate as much as possible — validate data at the query level, compare report outputs to source data, and run regression tests after changes.
How do you verify the visual layer (charts, KPIs, filters)?
Validate the underlying query results first, then confirm that the report's filters, parameters, and aggregations produce the correct visual outcomes.
How do you test reports across multiple sources?
Use a tool with multi-source connectivity that integrates with many data sources, enabling end-to-end validation from source to dashboard.
How do I test Power BI reports?
You test Power BI reports by comparing report data to the source data, verifying transformations (Power Query, DAX), checking visuals and formatting, and testing filters/drilldowns. For scale, use BI automation tools to run end-to-end validations, parameterized tests, and regression checks across reports.
Which tools support automated BI report testing?
QuerySurge BI Tester, Tricentis Data Integrity, DataGaps Data Validator, and a few others offer dedicated BI testing solutions.
Can BI testing integrate with DevOps workflows?
Yes. Some BI testing solutions offer API calls and CI/CD integrations, making it easy to trigger tests automatically as part of your release process.
Why would I need BI testing if I already test ETL?
ETL tests stop at the data store (data warehouse, data lake, files, database). BI testing ensures that transformations inside the BI tool and report logic are also correct.
