The Situation 

​

A federal enterprise managed data across inconsistent systems with conflicting definitions and reference values. Reporting was often contradictory because each division interpreted data differently. Duplicates and mismatched identifiers disrupted integrations and introduced operational risk. Leadership sought a unified governance framework to standardize data across the organization. 

​

The Solution 

​

STS implemented a comprehensive governance and data quality ecosystem including: 

• Business glossaries and governance councils to standardize terms and definitions. 

• Master Data Management (MDM) to unify key entities such as persons, locations, and assets. 

• Reference data catalogs to harmonize codes and taxonomies. 

• Metadata repositories providing lineage, ownership, and stewardship visibility. 

• Automated profiling and quality scoring tools integrated into ingestion pipelines. 

• Data stewardship workflows to manage approvals, corrections, and ongoing quality improvements. 

• Integration framework enhancements to enforce standardized taxonomies across systems. 

• Dashboards monitoring data quality performance and governance adoption. 

• Training programs to scale governance practices across the organization. 

 

The Impact 

​

Data became consistent, trusted, and interoperable across mission programs. Reporting accuracy increased, enabling faster and more informed decisions. The agency established a sustainable, enterprise-wide foundation for analytics and AI.