Success StoriesCloud Data Governance Implementation for Largest Auto Lender in the US
Part of a global network servicing 22M+ customers across 30 countries
Business Need
Objectives Driving Transformation
The largest auto lender in the US required a modern cloud data governance framework to address CCPA and expanding regulatory obligations while reducing audit risk. Leadership sought to establish an enterprise data dictionary of critical data elements across core financial systems and automate data processes to improve consistency and efficiency. The organization also needed a collaborative framework bridging IT and business stakeholders, enabling governed data usage while lowering long-term project and compliance costs.
- Address CCPA and related regulatory requirements
- Reduce audit exposure through improved data transparency and controls
- Establish an enterprise data dictionary across core financial systems
- Automate and orchestrate data governance processes
- Enable structured collaboration between IT and business teams
- Lower project delivery and compliance management costs
Implement enterprise-wide cloud data governance to meet evolving regulatory mandates, reduce audit exposure, and enable scalable financial growth.
Challenge
Barriers to Progress
The organization operated with multiple disparate legacy data dictionaries and inconsistent source data across financial platforms. Physical metadata structures did not align with business catalogs, limiting traceability and effective data flow implementation. Governance oversight was fragmented, and users lacked both business and technical proficiency with governance tooling. Shifting priorities between IT and business stakeholders further complicated alignment and slowed progress.
- 50,000+ fragmented data definitions across legacy dictionaries
- Inconsistent and incomplete source system data
- Misalignment between physical metadata architecture and business catalogs
- Limited governance oversight and ownership
- Knowledge gaps in governance tools across user groups
- Changing stakeholder priorities impacting program continuity
Solution & Results
What Paradigm Enabled
Paradigm implemented Informatica Cloud Data Governance and Catalog (CDGC), installing, configuring, and deploying the platform into production. More than 50,000 data definitions were rationalized and standardized, improving transparency into data provenance and appropriate usage. Six core governance processes were established to manage critical data elements and proactively address data quality anomalies. Comprehensive training programs increased user confidence and adoption, while governance alignment positioned the lender to integrate acquisitions and new financial offerings more efficiently.
- 50,000+ data definitions rationalized and standardized
- 18% increase in operational efficiency through improved data understanding
- Six core governance processes institutionalized
- 23% increase in business adoption through targeted training
- 2-month reduction in acquisition integration timelines
- Reduced audit exposure and strengthened regulatory compliance posture
The lender now operates with a governed cloud data framework that enhances regulatory resilience, accelerates integration of new products and acquisitions, and enables disciplined, enterprise-wide data management.
18%
Boost in operational efficiency
23%
Increase in business adoption