The Situation 

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A civilian agency relied on thousands of datasets for regulatory oversight, budgeting, and performance reporting. Analysts lacked visibility into lineage, ownership, or data quality, reducing confidence in decision-making. Manual validation efforts slowed reporting and strained resources. Leadership sought a transparent, governed data ecosystem. 

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The Solution 

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STS deployed: 

• Enterprise metadata catalogs capturing lineage, definitions, and usage rules. 

• Automated data quality frameworks that measured completeness, consistency, and reliability. 

• Stewardship models defining ownership and accountability. 

• Dashboards that visualized data health trends. 

• Reference and master data integration to reduce inconsistencies. 

• Governance workflows for approvals and issue remediation. 

• Integration with ingestion pipelines to ensure quality controls were applied at every stage. 

• Change management programming to embed governance across teams. 

• Compliance alignment with federal data policy and reporting standards. 

 

The Impact 

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Analysts gained confidence in the data powering key reports and mission decisions. Risk decreased due to improved transparency and quality controls. Leadership gained trustworthy insights to guide strategic decisions.