Business Intelligence & Data Warehousing Testing
Data is the foundation for decision-making. But what if your dashboards are inaccurate, ETL processes fail, or reports display outdated information? With BI and DWH testing, you gain confidence in your data quality, ETL processes, and reporting. You can make decisions knowing your information is reliable.
Testing the entire data chain
We test your complete BI and DWH environment: data quality at the source, ETL processes, data models, reports, and dashboards. No isolated checks, but a structured approach aligned with your architecture.
Whether you work with Kimball, Inmon, or Data Vault, on-premises or in the cloud (Azure Data Lake, Snowflake, Databricks), we validate data flows and transformations. We verify that business rules are correctly implemented and that reports reflect accurate, up-to-date data.
Testing is seamlessly integrated into your development process. With every change, you immediately know whether everything still holds up. No surprises, no debates about numbers. Your team can keep developing confidently, knowing the foundation is solid.
What we test in your BI environment
We test both technically and functionally so you can be sure that decisions are based on the right information.
Data quality
Eliminate errors before they spread. We check that source data is complete and correct. Duplicate records, empty fields and incorrect formats are intercepted before they can disrupt your entire data chain.
ETL processes
From extraction to flawless loading. We test complex transformations, business rules and aggregations to ensure that everything works as intended. What goes in, comes out right.
Data models
The right structure for your questions. Whether you use a star schema or slowly changing dimensions, we validate that your model performs as expected. No surprises when running complex queries.
Reports & Dashboards
Numbers you can rely on. KPIs must be correct, totals must add up and trends must make sense. We verify everything, even when data is processed in real time.
Historical data
Consistency over time. We test whether historical data remains reliable, even after changes to your model or business rules. Last year’s trends should still be valid, even if definitions have evolved.
Performance & scalability
Speed that scales. As your data volumes grow, queries must stay fast. We test how your environment performs under increasing loads and identify its true limits.
Why organizations choose us
We combine deep testing expertise with a thorough understanding of BI architectures. Our consultants know the pitfalls of Kimball models, the complexity of Data Vault and the challenges of cloud migrations.
With experience in critical sectors such as healthcare, finance and government, we understand what’s at stake.We’re certified trainers in BI testing and share our knowledge proactively. Beyond test results, we teach your team to recognize risks and prevent them structurally.
BI Testing FAQ
BI testing often raises the same questions. How do you test complex ETL processes? Which data quality controls are crucial? And what does it deliver in concrete terms? We've listed the most important questions and answers so you can quickly know where you stand.
We test your entire data chain: data quality at source, ETL processes, data models, reports and dashboards. This means that we verify that data is extracted, transformed and loaded correctly, that business rules have been implemented correctly, and that your reports show the correct numbers.
Yes, we have experience with various architectures and platforms. Whether you're working with Kimball, Inmon, or Data Vault methodologies, or cloud solutions such as Azure Data Lake, Snowflake, and Databricks. We adapt our testing approach to your specific environment.
A BI Test Assessment takes approximately two weeks. During that time, we review your data chain, identify risks and provide concrete areas for improvement. You get immediate insight into where you are and what can be improved.
Yes, that's exactly what we recommend. We integrate tests into your development process so that with every change it is immediately clear whether everything is still correct. This prevents surprises afterwards and ensures that your team can continue to develop with confidence.
We document all findings and provide concrete recommendations for recovery. We also teach your team where the risks lie and how to prevent them structurally so that similar problems do not occur in the future.
Yes, performance testing is part of our approach. We test whether your environment can cope with growing data volumes and identify where the limits lie. This way, you know whether your system is scaling with your growing data needs.
We specifically test whether historical data remains consistent, even after changes in your model or business rules. Last year's trends must still be correct, even if definitions have been changed in the meantime. This is crucial for reliable comparisons over time.