Data LineageMetadata ManagementImpact AnalysisData GovernanceSimilarity Analysis

The foundation of this All-in-One platform is a self-defined data fabric. EIIG automatically ingests metadata from a wide variety of technology sources and intelligently stitch it to build a comprehensive knowledge graph that connects all systems/applications within the enterprise, thereby creating a self-defined data fabric. A self-defined data fabric is one that is built upon factual metadata, taking a bottom-up approach at the start.

EIIG automatically connects the dots cross all types of data assets within the enterprise data supply chain and thus establishes end-to-end and the most comprehensive data lineage. Because EIIG is able to scrutinize code and capture the DNA of datasets, it can provide much more granular details in the lineage to meet enterprises’ needs for use cases like regulatory compliance, cloud migration, and risk mitigation.

EIIG offers the most automated data catalog in the industry. Because EIIG supports a broad range of technologies, it helps create a comprehensive inventory of all data assets. It uses machine learning/artificial intelligence to unify data and connect business terminology with technical assets. EIIG’s robust search capabilities enable users to quickly find the data they need  to make more informed decisions in near real-time.

EIIG’s active metadata capability leverages automation, ML, and Generative AI to make metadata contextualized and actionable, and thus drive data intelligence. From universal metadata layer, continuous data quality monitoring, detailed data lineage for auditability, natural language search, to automatic metadata change detection and notification, EIIG makes metadata active, resulting in the enhancement of data discovery, trust, governance, and usability.

EIIG enables enterprises to have comprehensive and accurate impact analysis. It provides enterprises with a central point of control and removes fear of changes. EIIG is used to identify the dependencies between datasets and executables that are impacted by a proposed change. It enables small, reliable, and frequent changes that are essential to application development, data migration and compliance control.  With EIIG, organizations can make rapid, complete, and accurate change impact plans and thus reduce change backlog.

EIIG’s similarity analysis, one of the metadata analytics capabilities, automatically identifies duplicate or redundant tables, ETL jobs, and reports. By discovering and visualizing all these duplicates, EIIG enables enterprises to accelerate their modernization and compliance efforts, increase productivity, and optimize cost.