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catching data quality errors!
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Data Quality Automation
= Data Test Automation & Data Quality Management
Your company is using information or data permanently for driving business processes or to make important decisions.
If either the information itself is of bad quality or the data processing is erroneous, the results have no business value or may harm your business in different ways.
Data Quality Management is the process of assuring the highest possible quality of information or data.
Whereas Data Test Automation is the process of assuring the highest possible implementation quality of data processing systems.
BiG EVAL's mission is to provide data quality solutions for the whole life cycle of data to turn the principle into value in / value out.
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Test Your Data Quality without Stress
Anywhere where data is transported, transformed, imported, exported, stored and changed, BiG EVAL can help with proactive quality control. Use our automated testing algorithms to easily check your data.
DWH & ETL Processes
Automated tests regularly check whether the data saved in a data warehouse after an ETL process is correct, preventing anything from being lost, duplicated, or incorrectly transformed.
Data Imports & Exports
Small errors created during data import and export can have big effects. Simple validation checks help you avoid such problems.
Continuously compare the data in your new application database (ERP, CRM, etc.) to the previous database during migration projects. These tests ensure a smooth transition to a new system.
(OLAP, Tabular, etc.)
Complex data transformations and calculations take place during analysis modeling, and the results are used to make strategic decisions. Make sure that your analysis model is of high quality.
Many application managers rely on their applications being fed with high-quality data from a data hub. With BiG EVAL, you can be sure that these expectations are met. Verifiable statistics from the test results can be used as proof of quality (or for an audit).
Test Drive BiG EVAL
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