Similarity Analysis

Use EIIG to quickly discover duplicate or redundant data assets

Automated and Comprehensive Similarity Analysis

Similarity analysis, one of the metadata analytics capabilities, is used to identify and measure the degree of similarity or resemblance between objects or data points within a dataset.

Orion Governance’s Enterprise Information Governance Graph (EIIG), a self-defined data fabric, offers automated and comprehensive similarity analysis as part of their next generation of metadata management platform. It enables enterprises to effectively enhance their decision-making, increase productivity, and optimize cost.

EIIG ingesters work with 70+ technologies

Comprehensive Coverage

EIIG’s similarity analysis is based on granular information from a wide range of technology sources including the mainframe, ETL and reporting tools, DBMSs and NoSQL databases, and programming languages such as Python, Java, Scala, and Hive.

With this comprehensive coverage, enterprise customers can quickly discover duplicate or redundant data assets whether they are reports, ETL jobs, or tables regardless how complex their data landscape is.

AI/ML-Powered Automation

The whole process of ingesting metadata, cataloging, data lineage visualization, impact analysis, and similarity analysis in an automated workflow within EIIG.

With EIIG, data citizens can perform similarity analysis to easily identify duplicate and redundant information just by clicking data points in a knowledge graph. This is automated self-service without any need to involve IT or a data governance specialist.

What is more, EIIG equips users with the flexibility to choose the level of detail and the type of datasets according to their roles and needs to conduct similarity analysis.

This is possible because EIIG’s similarity analysis is performed in a self-defined data fabric with wide-ranging datasets of all types as well as hierarchical views.

For example, the BI team may focus on just the duplicated reports, the data integration team on redundant ETL jobs, a data engineer on similar tables.

For the risk managers, they may use similarity analysis to detect fraudulent activities by comparing new transactions with historical records and identifying patterns of suspicious similarity.

Compliance officers can use similarity analysis to identify and tag PII datasets to ensure compliance with data privacy regulations.

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Business Outcomes

EIIG’s automated and comprehensive similarity analysis used together with other capabilities such as data catalog, lineage, active metadata, and impact analysis enables enterprises to achieve their desired data-driven outcomes such as better and faster decision-making, cost optimization, and improved productivity.

“We were under time pressure to show the regulators that we’re BCBS 239 compliant.  So we engaged a leading vendor who quoted two months and 150,000€. Orion blew me away when it was able to demonstrate value in less than two weeks.”

Enterprise Architect, Global Bank

Why Enterprises Are Choosing Orion Governance

Faster than any other data lineage feature available

Saves money by reducing total cost of ownership

Requires less time to implement and integrate with current technologies

Support for cloud migration and legacy modernization

Teams are happier using automated tools they can trust

Data lineage experts available to answer questions and troubleshooot

No-code solution open to all team members

Near real-time response provides teams with current information

See A Free Proof of Concept

Data catalog experts put together a proof of concept in only 1-2 weeks

Focuses on the technologies the team is already using

Work with a data catalog expert who can answer every question

Feeling Curious? Talk to an EIIG Expert.

Let an expert walk you through how Orion Governance can integrate with your business tools.