Autopilot Testing Software for Business Intelligence Teams
BiG EVAL's data-specific test automation boosts quality and accelerates workflows of data teams by freeing them from manual testing and poorly suited tools.
Trusted by Successful Data Teams at:
DATA TEST AUTOMATION
Test Continuously when Developing Data Products
Hundreds of test case templates and massively scalable test algorithms make it a flaw to ensure that data pipelines and data bases work error-free, while freeing up data engineering teams from manual testing efforts.
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DATA RELIABILITY
Validate and Monitor Live Data Permanently
Automated rules and intelligent algorithms validate enterprise data permanently to ensure it's always accurate and reliable, to streamline processes, save costs and unlocking potential revenue.
What our Customers say
Chris W.
BiG EVAL simplifies the process of Data Testing
The fact that BiG EVAL simplifies the process of data testing by automating enables significant time saving effort when compared to manual testing.
Raphael B.
A powerful test tool
We compared various other test tools and except for BiG EVAL, none of them was capable of fetching meta data and using it in the test case definitions what makes it so powerful.
Franziska G.
Simple Verification of Data Quality
Simple verification of the data quality. For me as a business user, the user interface is easy to understand and use. The support is fast, helpful and professional.
Chris W.
We can Ensure ETL is functioning as it should!
BiG EVAL is a huge help not only with checking the quality and integrigty of the data before we built out a Data Warehouse, but also with ETL Validation. We can ensure the ETL process is functioning as it should by defining test cases and rules which enable us to verify the accuracy and completeness of data transformations.
James T.
A Must-Have for Comprehensive Data Testing
I'm particulary impressed by BiG EVAL's flexibility, ease of use and massive scaling capabilities. Its adaptability to diverse data validation needs, coupled with a user-friendly interface, makes complex data testing a breeze.
Holger H.
Successfully using BiG EVAL for more than 5 years
BiG EVAL helps to discover possible data quality issues of our data feeds earlier that before. This enhances the overall data quality of our applications and reduces time and effort for the fixing of issues. BiG EVAL helped us to check the quality of migrated code and therefore significantly reduce the testing efforts. Nowadays, we primarily monitor our daily data processing jobs, what helps us to discover possible data quality issues much earlier. We are very happy with BiG EVAL.
Sören S.
Successful agile development by the help of automation tools
Thanks to data warehouse automation and test automation, our small team successfully developed an agile, future-oriented BI ecosystem. Without these automations, this would have been unimaginable.
Lucien B.
Well integrated with WhereScape Meta Data
Why writing 100 test cases if I have 100 dimensions? With BiG EVAL, 1 test case is enough thanks to the massive scaling features.
Markus M.
Reducing Manual Effort and Saving Time
Using a data test automation tool like BiG EVAL can significantly reduce manual effort, increase efficiency, and improve the accuracy and reliability of testing results with a higher test coverage.
Günther E.
Data Quality stabilized sustainably
BiG EVAL helped us stabilize the quality of our data. They met all of our requirements in full: an uncomplicated and reasonably-priced introduction and a high level of integration in our DQM processes and infrastructure.
Nicolas F.
Quality Assurance for Data Warehouse Development and Operation
Testing and quality assurance in warehouse development is not as advanced as in other software development areas. BiG Eval is a big step in the right direction. Easy-to-use yet powerful scripting. Nice web frontend. Quick and helpful support.
Hervé G.
I enjoy the usability and how easy the tool is
It increases the confidence in the BI values by automatically comparing data with the source within a Migration of a BI environment on prem to the cloud.
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