Data Governance: Leverage your data as an enterprise asset

Identify and resolve semantic conflicts

Define, manage, collaborate and validate your data to achieve closed-loop transparency and governance.

Reduce mis-interpretation risks, mis-communication overhead and integration complexity and increase alignment between all stakeholders.

What is data governance?

Data governance is an emerging discipline with an evolving definition. The discipline embodies a convergence of data quality, data management, business process management, and risk management surrounding the handling of data in an organization. Through data governance, organizations are looking to exercise positive control over the processes and methods used by their data stewards to handle data.

Data governance through definitions and open standards

This evolving definition clearly emphasizes the combination of people, processes and technology. The Collibra Data Governance solution takes into account these key success factors. It starts by bringing business and technical stakeholders together to define the meaning of key business concepts from a business perspective. By adding more formal business facts and rules complying to the OMG's SBVR standard (Semantics for Business Vocabulary and Rules), an agile and ever-evolving semantic layer is created.

A permanent semantic layer to bring business and IT closer together

On top of this semantic layer, governance processes can be effectively defined through data stewards. The business facts and rules provide sufficient formality to automatically generate technical data models, which in effect provide a formal alignment between the business definitions and the technical implementation of key business concepts.

Operationalize your business definitions to achieve closed-loop governance

By automatically generating semantic data services such as data transformation services and data validation services, this semantic layer is operationalized on your existing infrastructure. This provides a unique closed-loop transparency and alignment between all stakeholders to guarantee effective governance and compliance.

Benefits

Reduce risk and costs, improve business / IT alignment, and increase your Master Data Management project's succes by:

  • Removing interpretation conflicts,
  • Avoiding unnecessary debate,
  • Involving the business in defining and governing your master data definitions,
  • Leveraging these business definition on your data integration and middleware infrastructure to reduce integration complexity and costs,
  • Increasing governance and compliance.

Collibra's Business Semantics Glossary

Collibra's Business Semantics Glossary helps you manage and govern the meaning of your business concepts.

Having clear business definitions will reduce system integration complexity and costs, reduce mis-communication and mis-interpretation overhead and risks, and improve compliance, productivity and efficiency.

Not only is Data Governance critical for compliance and risk management. It is also a critical success factor for SOA, Master data Management and Business Intelligence projects.