Data sources are used either as a connection to reference data or with the testable data.
A variety of test algorithms are used to check the quality and plausibility of the test data.
Tests can be triggered at specific intervals or by particular data events.
The more test results you have, the better your data quality. Hundreds of test results require good organization.
If the out-of-the-box functionality of BiG EVAL does not meet your needs and requirements, you can count on the ability to add and run scripts.
BiG EVAL offers a variety of analysis functions that give you the ability to maintain an overview of the data quality and test automation results across your entire enterprise.
BiG EVAL sends alert notifications whenever the minimum data quality standards fail to be met.
Manage users and their roles through BiG EVAL's user management system.
There are various interfaces that allow you to include BiG EVAL in your processes (e.g. ETL) and applications.
Data sources are used to connect to data that will be tested or to test-reference data.
Test data gets processed by different test algorithms to check quality and plausibilize information.
Testcases can be scheduled at specific points in time or triggered by data events.
The more testcases the better the quality. Hundreds of testcases must be organized very well.
When the out-of-the-box functionallity of BiG EVAL isn't enough to fulfil your needs, you can always trust on the scripting possibillities.
BiG EVAL provides several analytical features to get insight into data quality and test automation results of the whole company.
If quality requirements cannot be fulfilled, BiG EVAL triggers alerts and sends them to the right people.
Is your data being distorted in technical processes?
There are several interfaces that open the possibility to integrate BiG EVAL into your processes (e.g. ETL) or in your applications.