A Better Approach to Enterprise Data Governance
How It Works
Directed by Humans, but Driven by the Data
A small number of human beings need to be responsible for data governance policies and high-level definitions of the business concepts involved. But the ground truth of what needs governing lies in the data itself. Governance should be directed by humans, but driven by data, from the bottom up.
Truth Lies in the Data Itself
The Global IDs data-driven approach to data governance brings truth and enforceability, without which there is no governance. Nothing can substitute for the actual scanning of the ecosystem, discovery of data assets, classification that puts it all in context, and lineage that analyzes how it flows through the enterprise - thus making data governable.
Intelligent Automation That Scales With the Enterprise
Data-driven governance is achieved through intelligent automation, which brings scalability as well. Whatever the size of your enterprise, an approach driven entirely by human resources requires more of those resources than you can spare. Intelligent automation brings truth and enforceability to governance across the whole enterprise, resulting in effective governance at less cost.
Global IDs Data Governance at a Glance:
- Governance driven by the data itself
- Governance that scales, built on automation
- Advanced algorithms link physical data to logical business concepts across the enterprise
- Automatic identification of Critical Data Elements (CDE) and their flow through the ecosystem