DATA INTEGRATION & QUALITY MANAGEMENT Learn about the benefits of data quality management

The highest quality and organization of the collected data affect the operational and transactional processes in the company, as well as the reliability of the BI analyses they are subjected to.

Therefore, we use the DQA (Data Quality Assurance) process that helps us verify that the data is fully reliable and useful for the organization.


Thanks to the data quality management:

  • you get reliable business analysis based on real data.
  • you gain a full picture of the various processes in your company.
  • you effectively reduce costs by reducing the risk of wrong decisions.


Eliminate incorrect data.

Thanks to advanced analytical and statistical techniques, we offer our clients intelligent algorithms necessary for the analysis of data quality in three areas:

  • filling in missing data,
  • identifying incorrect and outlying data,
  • correcting erroneous data by assigning new, more probable values.

We create client applications equipped with data mining algorithms in order to care about the data quality as best as possible. These are tools that prompt users with a possible set of values for selected fields, based on the information they enter. Everything is done quickly, easily and in real time.


Integrated data tells you more.

Our experience clearly shows that the quality of business and its competitive advantage are built through well-integrated and modern solutions. Working for our clients, we effectively combine the currently operating capabilities with new solutions. We successfully combine platforms, create the best-suited system architecture, migrate data and select the best technologies. After the introduction of changes, we help our clients to become accustomed to the new conditions and teach how to effectively run projects so that the business develops constantly.

Selected projects for our clients

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Radosław Kępa

Digital Advisor & Founder