When enterprises fail, a key contributor is information no one knew. Whether growth came organically or via acquisition, most enterprises end up not fully understanding their risks, data dependencies and structural impact. Whether it's the lack of understanding of overly complex business rules, operational silos between business units, or the classic separation between business and IT, the inability to fully analyze and answer "who are we?" causes difficulties and can be time consuming.

The M:GRID solution's on-board Analytics Engine helps business continuously analyze millions of metadata to determine direct or inferred relationships. It is then visually intuitive for business users and for subject matter experts to better understand Impact, Data Lineage, and DDS (data degrees of separation). Normally this information and logic lives in the human capital of the enterprise.

With the introduction of analytics your metadata provides critical business clues to common questions like "Where does this data come from?" or "What does this business rule impact?". Then for IT, one can ask questions like "Who uses this table column?". This can be applied in specific business domains as defined by governance (i.e. Sales, Marketing, IT etc) and cross analyzed in real time; what would normally take hours to understand can now be a click.