Overview
One of the largest global financial services organizations, operating across North America, Europe, and APAC, needed to improve how it managed and protected sensitive data. With customer information spread across hybrid cloud systems, the enterprise faced growing regulatory demands and increasing risk of data breaches. To stay compliant and secure, the company sought a metadata-driven approach to gain full visibility, control, and governance over its data assets.
Challenges
Sensitive customer data scattered across regions and platforms
Difficulty tracking PII (Personally Identifiable Information) across systems
Inconsistent data access and lack of centralized policy enforcement
Increasing compliance pressure from GDPR, CCPA, HIPAA, etc.
No clear audit trails or real-time reporting for regulators
Solution
The organization implemented a metadata intelligence framework integrated with leading governance tools, enabling real-time visibility, classification, and policy automation.
Automated Metadata Harvesting from databases, cloud lakes, and storage (Oracle, SQL Server, S3, ADLS, Databricks, Synapse) using tools like Informatica EDC and Apache Atlas.
PII Data Classification using pattern matching and NLP to detect fields like email, SSN, phone, etc.
Policy Enforcement based on metadata tags and user roles — restricting access by department or geography (e.g., EU data blocked from US analysts).
Dynamic Data Masking and Row-Level Security implemented in downstream systems like Snowflake.
Audit Trail and Lineage tracking — detailing who accessed what, when, and how.
Compliance Dashboards built in Power BI and Looker Studio showing live insights, violations, and region-wise PII visibility
Business Outcomes
PII identification time reduced from weeks to under 1 hour using automated metadata classification
Policy violation incidents dropped from ~15/month to less than 1/month after enforcement via metadata tags
Compliance audit preparation time reduced from 4–6 weeks to real-time through interactive dashboards
Significant reduction in data breach risk with role-based access, masking, and audit trails
Improved trust in enterprise data with clear lineage, user activity logging, and ownership visibility
Project Details
One of the largest financial services companies (confidential)
Financial Services
Metadata-Driven Data Governance and Compliance Architecture
Data Compliance, Metadata Intelligence, PII Classification, Data Masking, GDPR, CCPA