Overview
Overview: Coforge Data Governance Framework is an AI-driven framework treating data as a strategic asset — embedding governance across platforms, business units, and personas. Supports MiFID II, FINRA, GDPR, SEC, BCBS 239, HIPAA. Part of Coforge Data Cosmos™ – the innovation backbone comprising platforms, agents, and services that accelerates execution across every phase of the data lifecycle.
Three Pillars: • People — Governance Organisation (Steering Committee, Council, Working Groups), Roles (Owners, Stewards, Custodians) • Process — Governance by Design, Critical Data Elements, Business Rules, Measure & Monitor • Technology — Data Management tools, metadata platforms, AI-enabled automation
AI-Driven Four-Phase Approach:
Phase 1: ASSESS • AI-driven profiling to identify governance gaps and ownership voids • Evaluate data maturity — ownership clarity, stewardship coverage, quality baselines • Catalogue critical data elements; assess regulatory exposure (GDPR, HIPAA, BCBS 239)
Phase 2: PLAN • Define governance strategy, vision, roadmap aligned with business objectives • Design roles and policies for ownership, stewardship, quality, security via RACI • Establish governance org structure; select enterprise cloud native tools (Collibra, Alation etc)
Phase 3: INNOVATE • Integrate Data Cosmos artifacts and accelerators (Data Governance Nexus, AutoClassifier) for intelligent automation • Deploy AI-enabled metadata classification, automated lineage tracking, anomaly detection • Enable predictive governance and policy-as-code enforcement via Coforge Data Governance Nexus and Amazon Bedrock
Phase 4: EXECUTE • Embed governance into core systems and workflows with targeted training • Enforce policy automation, stewardship workflows, and approval processes • Monitor KPIs continuously — data trust scores, compliance rates, quality trends • Drive continuous optimization through AI-augmented insights and self-service governance
Core Components: • Data Ownership & Stewardship • Data Quality Management • Metadata & Lineage • Policy & Compliance • Business Glossary
Industry Applications: • Banking — Governance across multiple databases for BCBS 239, CCAR, DFAST. 40% faster data access, 35% reduced reporting complexity. • Insurance — Policyholder governance with Solvency II evidence. • Travel — Guest data governance with GDPR and PCI DSS compliance. • Healthcare — HIPAA-compliant clinical data governance.
Cloud-Native on AWS: Deployed on Amazon EKS. AWS Glue Data Catalog. Amazon Redshift. Amazon Bedrock for AI classification. Amazon S3.
Highlights
- Three pillars: People (governance org), Process (governance by design), Technology (AI tools)
- AI-driven 4-phase approach: Assess, Plan, Innovate and Execute
- Proven — 40% faster data access and 35% reduced reporting complexity
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