What Is An Enterprise Knowledge Graph?
An enterprise knowledge graph (EKG) connects together all the data relevant to an organization into an artificial data brain that can augment decision-making.
It is designed to maximize data reuse, with a focus on precision, meaning and flexibility - see our guiding EKG Principles.
Why Do I Need EKG?
Imagine being able to ask and answer any business question. Across your whole data estate and beyond. With a query and without an army of Excel gurus, one-off data extracts and many days of effort.
EKG can help make this a possibility.
Key Benefits Of EKG
EKG offers a leap to more intelligent use of your data.
Can your data platforms offer this?
Uncover new knowledge
- via inferencing and reasoning.
Understand context and meaning
- data and metadata can be accessed together instead of inside individual applications.
Represent many business viewpoints
- multiple models can coexist on the same data points.
Write less code
- enable model-driven applications with executable business logic.
Support artificial intelligence
- all data is both human and machine readable. Share identity, meaning and context from human-to-AI and AI-to-AI.
See full traceability
- trust and track all knowledge with lineage, provenance and audit
Reduce data transformation
- highly granular and reusable data means less transformation and copying.
Avoid vendor lock-in
- to proprietary technologies, use standards and be agnostic to implementations.
Be Future Ready
EKG is based on standards that built the internet - this facilitates interoperable data with context and meaning. The standards have revolutionized the world of knowledge representation, which is now possible at web scale.
Use cases that were previously unobtainable are now a reality - based on this knowledge representation and involving both human and computer actors via the application of both AI and EKG.
Make the leap.
Make The Leap
To take your first step towards a more meaningful data infrastructure, have a conversation with one of our experts.