Data redundancy isn’t just a storage issue—it’s a governance, risk, and cost challenge. At Orion Governance, the Enterprise Information Intelligence Graph (EIIG) doesn’t just map your data; it actively identifies duplication to streamline your data landscape.
Here is how Orion’s self-defined data fabric recognizes and tackles duplicated data:
- Granular Similarity Analysis Orion goes beyond surface-level scanning. Its Similarity Analysis capability examines granular information extracted from over 70 different technology sources. Whether your data resides in mainframes, ETL tools, NoSQL databases, or programming languages like Java, Python, and Scala, EIIG can detect duplication at the DNA level of your source code.
- Data Marketplace Analytics Building a data mesh or product strategy? The Orion Data Marketplace includes specific “duplication detection” and analytics features. This allows you to identify duplicate data products before they spread, mitigating the risk exposure and operational costs associated with maintaining identical assets.
- Integrated Data Governance & Redundancy Detection Orion’s platform provides automated “data redundancy detection” as a core part of its integrated governance suite. By identifying “redundant data” and the “duplication of IT assets,” EIIG helps enterprises optimize costs and slash manual effort
The Result? By eliminating redundancy, Orion helps reduce operational costs by more than 50% and accelerates the delivery of high-quality, trusted data for AI.
Ready to clean up your data landscape?
About the Author: Greg Moffett is the Senior Vice President at Orion Governance, Inc. Connect with Greg on LinkedIn.
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