Data Quality 
Management

Control the quality of your data to realize its full potential, avoid risky decisions and save money.

DQM

A comprehensive solution for monitoring data flow, detecting anomalies and measuring and improving data and process quality.

Build an organization's data quality management strategy by choosing a specialized tool that allows you to formalize and define consistent data quality management principles.

Flexible configuration in the customer's technology environment and ease and repeatability when incorporating more control areas.

Systematic and fully automated activation of data control mechanisms in multiple source systems.

Detection of irregularities, immediate error reporting and alerting in case of critical errors.

Support for master data, transactional data and business processes. Identifying liability for errors.

Easy and repeatable implementation of advanced data controls using reusable test types.

Features

12 types of tests

Possibility to define, modify and view tests based on parameters entered by the user.

Test automation

Fully automated test execution for optimised and multi-threaded checks on large data sets.

Dashboards

Graphical presentation of the test results in the form of dynamic reports with the possibility of aggregating and analysing trends.

Automatic distribution of information

Automated sending of reports to the e-mail addresses of designated users and business owners.

Multi-system test environment

Possibility to connect and test data from various sources.

Diversity of roles

Built-in authorisation system for individual users and roles in the verification process.

Implementation benefits

Increasing the company's revenues by improving the quality of customer service, ensuring error-free settlements with contractors, or making the right decisions based on proven data.

Ensuring safe, correct and fully monitored processes of supplying and data flow between various systems and databases.

Ensuring compliance with regulations (Recommendation D.8, Solvency 2, UOKiK regulations, GDPR, AML).

Defining responsibility for the quality of the most important data.

A distinguishing feature of the system is its ability to be flexibly configured in the customer's technological environment, and its ease and repeatability when incorporating further control areas, verifiable during Proof of Concept testing. Implementation of the target solution is tailored to individual needs and specific customer requirements.

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