Case study · Industry: Government
A Government Entity Found the Data Gaps to Close Before Expanding Into AI
The Problem
The entity needed an independent assessment of its SQL, Power BI and Azure environments to find hidden risks before they became costly problems, and a prioritized plan to close the gaps. It needed the whole chain checked, from database to reporting to infrastructure:
- Security: access controls, authentication and encryption.
- Performance and data integrity: query efficiency, indexing, and whether reports match the source data.
- Regulatory compliance: readiness for standards including GDPR, HIPAA and PCI-DSS.
- Disaster recovery: backups, failover and recovery time objectives.
What We Did
We assessed its SQL, Power BI and Azure environments across security, performance, compliance, data integrity and disaster recovery. Because AI tools depend on the data underneath them, the assessment doubled as an AI readiness check.
The Business Impact
- A clear maturity baseline.
- The specific gaps named, from excessive access privileges to missing data classification and inconsistent indexing.
- With the gaps closed: less risk of unauthorized access, faster and more reliable reporting, and stronger regulatory readiness.
- A foundation to adopt AI and automation later, without costly retrofits.
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