Data Quality

Quality Cockpit

Blindata provides users with a comprehensive view of data quality metrics through dashboarding, and integrations with other modules, allowing for the improvement and maintenance of data quality and promoting democratization of data quality for confident data-driven decisions.


Blindata platform is designed to prioritize a complete high-level overview of your data quality metrics and make data quality information accessible to a broader range of users within your organization. To achieve these goals, we have introduced a range of features, including dashboarding and reporting, integration with Business Glossary and Data Catalog, integration with the Quality Assessment module, integration with the Issue Management module, and notifications.

Dashboards in Blindata Data Quality module include functions that allow users to monitor the performance of quality checks and track quality check trends. This feature provides users with an at-a-glance view of data quality status, allowing them to quickly identify any potential issue and take informed actions to maintain and improve data quality.

Integrating quality indicators into business glossary and data catalog provides a 360-degree view of data quality, enabling users to verify existing data quality controls, evaluate their effectiveness, and request new ones based on their specific needs. This democratizes data quality, allowing users to choose datasets with the highest quality, monitor metrics, and receive notifications in case of problems.

The Quality Assessment module analyzes and assesses the risks associated with company data assets, defining and monitoring KQIs to ensure effective quality controls. It evaluates data risks and control effectiveness, resulting in a calculated residual risk for each asset. Additionally, the list of risks is customizable to fit organizational needs.

The integration between Blindata Data Quality and Issue Management modules enables the automation and tracking of maintenance and remediation activities related to data quality issues. This synergy allows for the prompt reporting and automated tracking of problems, assigning clear responsibilities for managing and resolving identified issues, and monitoring the life cycle of each issue. Additionally, it ensures that all relevant stakeholders are notified of the presence of a problem and its evolution and resolution status.

Blindata’s data quality notifications feature allows users to subscribe to specific KQIs or entire quality suites to receive updates on data quality controls and performance. This allows stakeholders to take immediate action to address data quality issues, reduce their impact on business processes, and foster a culture of data ownership and accountability. By delivering notifications via multiple channels, Blindata ensures that all data users stay informed about the status of their data quality, promoting proactive participation in data quality management processes.


Blindata’s Data Quality cockpit offers a comprehensive high-level overview of data quality metrics, providing easy access to data quality information. This includes dashboarding and reporting, integration with Business Glossary and Data Catalog, Quality Assessment and Issue Management modules, and notifications. By monitoring critical metrics, verifying data quality controls, and taking prompt action to address issues, users can maintain and improve data quality while promoting appropriate use of data.

The aim of a quality cockpit is to deliver data-driven insights to quickly and efficiently identify and resolve data quality issues. This provides a deeper understanding of data quality and highlights areas for improvement, enabling users to prevent or correct data quality issues before they escalate. Blindata’s quality cockpit features promote the democratization of data quality, giving all users across the organization greater visibility into the quality of data they work with. This fosters data-driven decision-making based on reliable information, which promotes an appropriate use of data.

How to

Blindata Data Quality utilizes a framework that calculates synthetic indicators based on Key Quality Indicators. Once the KQIs have been identified and measured, Blindata calculates two different synthetic indicators that are useful for monitoring data quality:

  • Score: The first indicator, the score, is a value ranging from zero to one hundred that measures the quality of a KQI. The score indicates where the KQI value stands in relation to an expected value.
  • Traffic Light: The second indicator is the traffic light, which is based on the score and user-defined alert thresholds. The traffic light is an additional synthetic indicator that assigns a color (green, yellow, or red) to each KQI, providing a quick and easy way to identify KQIs that are performing well or not.

The traffic light indicator is used to create data quality dashboards. Moreover, it is incorporated into Blindata Business Glossary and Data Catalog. In addition to dashboarding, the traffic light indicator is also used for notifying users about data quality results.