Success StoriesCloud Data Governance Implementation at Global Asset Manager
One of the world’s largest independent asset managers
Business Need
Objectives Driving Transformation
A global asset manager required a centralized cloud data governance platform to catalog and manage rapidly expanding volumes of internal and third-party data. Investment teams – including portfolio managers, quants, and data scientists – needed faster access to trusted fund, index, market, geographic, and demographic data. The organization sought to implement semantic search, standardize its enterprise data dictionary, and provide governed access to stakeholders across data management, stewardship, and analytics functions.
- Catalog internal and external datasets across cloud and on-premise platforms
- Enable semantic search across fund performance, index data, and market datasets
- Centralize and operationalize an enterprise data dictionary
- Serve quants, data scientists, data stewards, and business users with governed access
- Improve data transparency and enterprise-wide usability
Establish enterprise-wide data governance and discovery capabilities to improve data accessibility, transparency, and investment decision support.
Challenge
Barriers to Progress
The client operated within a highly complex data ecosystem spanning cloud data lakes (Hadoop), enterprise applications, and structured databases. Seventeen external data sources, including uncategorized third-party feeds, created fragmented metadata and limited visibility into data lineage and quality. Security constraints and infrastructure complexity added implementation risk, while the organization needed to shift from a siloed “data ownership” mindset to a federated governance model.
- Disparate cloud, application, and database environments
- 17 external datasets from providers such as MSCI, Bloomberg, and the Federal Reserve
- 184 tables and billions of rows lacking centralized metadata visibility
- Infrastructure and security constraints across product and client environments
- Cultural transition from siloed ownership to federated governance
- Limited enterprise search and data lineage capabilities
Solution & Results
What Paradigm Enabled
Paradigm implemented Informatica Cloud Data Governance and Catalog (CDGC) across the enterprise, scanning and profiling all relevant data assets to enable comprehensive technical metadata visibility. Semantic search capabilities were deployed to simplify discovery across structured and unstructured sources, while a productionized business glossary established consistent definitions across business lines. The platform enabled end-to-end lineage tracking, automated profiling, and data quality scoring, shifting the organization to a governed, transparent data operating model.
- 200 data elements cataloged across 8.4M variables and 2.9B rows
- 31% reduction in data search time through automated, cross-source discovery
- 13% estimated profitability impact from improved semantic search and data accessibility
- Business glossary adopted across 3 major business lines
- Targeted 28% increase in enterprise data quality through profiling and scoring visibility
The asset manager now operates with a scalable cloud data governance framework that enhances investment insight, strengthens regulatory transparency, and supports disciplined growth in advanced analytics capabilities.
31%
Faster data search time
13%
Profitability impact