Business Intelligence & Data Warehousing Testing
Data is the basis for decisions. But what if your dashboards are wrong, ETL processes crash, or reports show outdated data? With BI and DWH tests, you get certainty about data quality, ETL processes and reports. That way, you know you're making decisions based on the right information.
The entire data chain tested
We test your entire BI and DWH environment: data quality at source, ETL processes, data models, reports and dashboards. No separate controls, but a structured approach that matches your architecture.
Whether you work with Kimball, Inmon or Data Vault, on-premise or cloud (Azure Data Lake, Snowflake, Databricks) - we validate data flows and transformations. We check that business rules have been implemented correctly and that reports show the correct data.
We integrate testing into your development process. With every change, you immediately know whether everything is still correct. No surprises afterwards, no discussions about numbers. Your team can continue to develop with confidence that the basis remains solid.
What we test in your BI environment
We test technically and functionally, so that you can be sure that decisions are based on the right information.
Data quality
Mistakes out before they spread. We check that source data is complete and correct. Duplicate records, empty fields, wrong formats, we capture them before they can disrupt your entire chain.
ETL processes
From extraction to error-free loading. Complex transformations, business rules and aggregations, we test whether everything is correct. This way, you can be sure that what goes in comes out well.
Data models
The right structure for your questions. Whether you're using a star schema or slowly changing dimensions, we'll validate that your model does what it's supposed to do. No surprises when it comes to complex queries.
Reports & Dashboards
Numbers that you can rely on. KPIs must be correct, totals must add up, trends must be logical. We control everything, even when data arrives in real-time.
Historical data
Comparisons over time. We 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.
Performance & scalability
Stay fast, even with millions of records. Your data volumes are growing, but queries need to stay fast. We test whether your environment is up to the task and where the limits lie.
Why do organizations choose us
We combine testing expertise with in-depth knowledge 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 know what is at stake. We are a certified trainer for BI Test training courses and actively share our knowledge. Not only do we provide test results, we teach your team where risks lie and how to 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.