Data Validation System

From the perspective of organizations, the data validation is of great importance for organizations such as daily resource and target transfer tests, update and data migration projects, and control and supervising of live systems.

When data validation is tried to be improved through conventional methods;

  • Data controls are performed at database level or within ETL systems.
  • Script-based, non-visual analysis and improvements are made through screens.

In this case;

  • Access support is required for each different database and it cannot be managed from a centralized system.
  • Although it causes learning difficulties and job losses and it is open to mistakes.

What is data control system?

The Data Control System aims to establish a sustainable and traceable infrastructure within the organization by enabling the validation rules to be managed from a single center and thus to increase efficiency. The Data Control System (DCS) provides organizations a quick implementation opportunity, thanks to ready-made rules that it includes.


The basic competencies of the Data Control System (DCS) are;

  • Access
    • Database
    • File systems
  • Data Discovery
    • Profiling with ready templates
    • Join analysis
  • Developing
    • Dynamic and extensible validation rules
    • Performance management
  • Following up and Tracking
    • Metric based tracking
    • KPI scoring
    • Reporting infrastructure
    • Alarm mechanism

What Benefits Does the Data Control System Provide?

Ensuring the accuracy and reliability of data

Reducing data test times

Improving operational efficiency

Increasing confidence in systems

Reducing job losses and reducing costs