Metadata and Data Fabric
Large organizations have thousands of systems with competing and often conflicting names and definitions of data. The process of integrating data is complex and costly. The EKG is both metadata and data fabric, to find and access all your data, aligning multiple identities, names, definitions and meanings and allowing content to be understandable and usable by both humans and machines.
• Business Glossary
• Data Catalog
• Data API
Problem
Enterprise data comes from many disparate repositories and with different data structures, definitions and contextual meanings. A single version of truth is unobtainable. There is simply too much complexity for everything to be connected within a single repository across large and federated organizations.
Impact
The inability to find and use trusted data increases risk, limits productivity and organizational agility. Increased costs occur due to time spent finding the right data source, transforming, integrating and fixing incompatible data. In addition, many firms waste money on redundant data purchases and perform unnecessary data reconciliations.
Solution
The EKG facilitates multiple viewpoints of data including an integrated view. The standardization of meaning and rules facilitates automatic validation and provides assurance of data quality to end users. The ability to register data integration as machine-readable activities into the EKG generates full transparency across all your data processes. And the metadata capabilities of the EKG make it possible to embed executable business rules that accommodate different values, identities and definitions.