Data Governance and AI Ethics Case Study:
Metadata & Lineage Automation Using Collibra and Informatica
Executive Summary
SentinelX Digital’s experts designed and implemented an enterprise-wide metadata and data lineage automation framework leveraging Collibra and Informatica to enhance transparency, governance, and control across a global technology and telecom ecosystem. The initiative established dynamic metadata synchronization, automated lineage capture, and cross-domain visibility, enabling trusted analytics and compliance-ready data environments at scale.
Business Challenge
The client faced persistent challenges with data discovery, traceability, and quality management across its distributed data landscape. Multiple business units operated with isolated metadata repositories, inconsistent naming conventions, and limited lineage visibility. This fragmentation created inefficiencies in audit response, regulatory reporting, and analytics delivery. To support business agility and compliance (including BCBS 239 and ISO 27001), the client required a centralized and automated metadata governance model.
SentinelX Approach
SentinelX Digital’s data governance specialists implemented a metadata-led automation strategy integrating Collibra’s governance workflows with Informatica’s metadata ingestion capabilities. The architecture enabled real-time updates, lineage visualization, and stewardship automation through REST APIs and rule-based synchronization.
Key components included:
- Deployment of automated metadata scanners across core data warehouses and BI systems.
- Integration of data lineage visualization in Collibra to map source-to-consumption flows.
- Configuration of metadata quality rules and validation thresholds for accuracy assurance.
- Establishment of role-based stewardship models with built-in review and approval processes.
Outcomes & Impact
- Reduced manual metadata collection effort by 60 %, improving delivery speed.
- Improved audit readiness and data traceability across 12 enterprise domains.
- Increased data quality confidence and trust among business and analytics users.
- Established a sustainable metadata governance operating model aligned with regulatory and business KPIs.
Disclaimer
This case study represents SentinelX Digital’s methodologies and consultant-led delivery expertise in metadata and lineage automation. All data is anonymized, and performance metrics are representative of typical outcomes achieved in comparable technology and telecom environments.