OEMM makes all of an organization's data universally usable by defining each data element's significance, meaning, and relationship with other data. OEMM extracts metadata from a variety of technologies such as data/object modeling tools, databases, Hadoop, BI, ETL engines, and EAI environments. Its advanced algorithms link all the metadata so end users have a holistic view as they explore across various data repositories. Administrators track data flow and lineage, perform impact analysis and governance, and version and compare metadata models. Data librarians and analysts leverage OEMM's business glossary, as well as annotation, tagging, and semantic definition, to link business-friendly terminology and useful comments to the metadata.