Accelerate Observability /
Active Metadata
EIIG Product Feature
Observability / Active Metadata: Living and Breathing Map of Your Data Landscape
Leverage Automation and Speed Up ROI
EIIG transforms static metadata into dynamic, intelligent and insightful information that:
- Connects technical metadata with business context through:
- Automated rule-based classifications
- Persona-specific asset views
- Custom property inheritance through lineage
- Analyzes data quality, usage patterns and operational metrics continuously
- Detects changes across the data landscape and shows their impact automatically
- Identifies root causes via detailed lineage and impact mapgs
- Alerts on anomalies, duplicates and drifts before they impact operations
Leveraging active metadata, EIIG ensures your metadata isn’t just recorded, but works actively to improve data integrity, reliability, discovery and governance.
With EIIG’s active metadata, enterprises can significantly increase the trust in the information, gain insights more accurately, and accelerate collaboration and decision-making between teams.
Key EIIG Observability / Active Metadata Capabilities

Automated Discovery & Profiling
- Automatically extract and ingest different types of metadata–technical, operational, and business metadata–from 70+ technology sources and visualize their relationship from the bottom-up.
- Continuously measure and update key metrics such as volumetrics, execution times, data and code quality, user ratings, and usage metrics
- Detect schema, data type, and pattern changes automatically

Context Enrichment
- Rule-based tagging (auto-classification of sensitive data, PII, domains)
- Custom properties (extendable metadata fields for business context)
- Annotations & crowdsourcing (user-added descriptions, ratings, notes, and articles)

Dynamic Lineage & Impact Analysis
- Map upstream/downstream dependencies (databases → pipelines → reports)
- Propagate metadata changes through lineage (e.g., schema drift alerts)
- Simulate impact of changes before deployment

Data Quality Augmentation and Trust Propagation
- Assign quality score for each data asset based on quality metrics
- Continuously monitor data quality and visualize the change in quality scores
- Build trust in data by showing data quality, data ownership, certifications, user ratings and other metrics
- Propagate the trust via data lineage and data catalog automatically

Active Governance & Collaboration
- Persona-based views (tailored metadata for engineers vs. analysts)
- Automated policy enforcement (tag-based access controls)
- Duplication detection (identifies redundant datasets—reports, tables, jobs)
- Integration with social media and other tools to data sharing and validation
Award Winning
Best Metadata Management Solution
What makes the best active metadata management solution the best? You could start by finding support for 70+ technologies including legacy, modern, and hybrid/cloud applications.
Having a solution that doesn’t require coding or hiring an expensive consultant counts as two more wins. And you don’t want to forget about implementation time. Why choose a platform that takes months to implement when you can have a solution running in days or weeks instead?
Unlock Value of Data
Improve Confidence with AI
EIIG quickly and automatically extracts metadata with a set of 70+ connectors for a range of systems, including mainframes, databases, ETL tools, business intelligence reports, and even Java and Python code.
EIIG is also featured as part of the 2023 Machine Learning, AI and Data Landscape.
EIIG uses this metadata to build an end-to-end data lineage across systems at a very granular level and visualize it on an easy-to-follow knowledge graph. Overlays of active metadata such as quality scores and tags give you the ability to quickly identify problems and errors.