
Early error detection and correction when processing large amounts of data to ensure reliable corporate data.
Data quality testing for accurate, complete and reliable data to support decision making and analysis.
In data quality testing, we test the data according to specified standards and expectations to ensure that they meet the required quality criteria. Our goal is to ensure that the data is accurate, complete, consistent and relevant to the company's decision-making or analysis processes. Data quality testing helps to identify data handling errors early and to effectively correct them. This is especially important for systems that handle large amounts of data, where poor data quality has serious consequences.


Data quality testing provides a solution to problems arising from data inaccuracies or inaccuracies. It helps to filter out inconsistent or duplicate data that impairs data integrity. It also detects problems arising from data loss or data conversions in a timely manner. Data quality testing directly supports business decision makers by providing reliable and accurate data that underpins analytics and strategies.
The framework is able to check the compliance of database types, uniqueness, keys and mandatory fields.
More complex audits can be performed with it, such as error source analysis or business logic checks.
The framework is flexible so that individual data quality checks can be implemented.
Our most experienced business analysts assist client-side experts in setting up critical criteria for proper operation.
The results are displayed in Power BI, Tableau, Grafana, or the visualization tool preferred by the customer.




Our team of experts designs solutions that make your systems faster, more stable and more cost-effective, take into account your unique needs, optimize processes, reduce risks, and support your business goals.