Accelerate Similarity Analysis
Quickly Discover Duplicate & Redundant Assets
Automated and Comprehensive Similarity Analysis
AI and ML Powered Automation
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.
EIIG enables enterprises to effectively enhance their decision-making, increase productivity, and optimize cost.
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.
EIIG’s similarity analysis is based on granular information from a wide range of technology sources (70+) 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.
Features and Capabilities of EIIG’s Similarity Analysis

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

No Specialists Required
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.

Dive Into Details
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.

Better 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.
Enhance Automation
Improve Data Governance
Similarity analysis plays a critical role in a data governance regime. What enterprises need is not just any similarity analysis tool, but an automated and comprehensive one.
Orion Governance’s EIIG, a self-defined data fabric, offers such a tool as part of their next generation of metadata management platform. It enables enterprises to effectively enhance their decision-making, increase productivity, and optimize cost.
Better & Faster Decisions
Rely on Trusted Data
The ultimate goal of data governance or metadata management, of which similarity analysis is a part, is to enable organizations to make better and faster decisions.
Sound decisions depend on trusted data, and trusted data is built on the comprehensive understanding of the data landscape. Without visibility into different types of data in a wide range of technology sources, the function of similarity analysis would be very limited.