How Microsoft Purview Transformed Data Discovery in Healthcare
February 3, 2026

Introduction:

Healthcare organizations face a unique challenge: balancing innovation with compliance. With HIPAA and FERPA regulations, data discovery can quickly become a compliance risk. At one leading healthcare institution, this challenge was slowing analytics and eroding trust in data.

The Problem:

Data was scattered across clinical, research, and academic systems. Leaders asked simple questions like “Which data can we trust?” but found no clear answers. Discovery relied on tribal knowledge, creating inefficiencies and compliance risks.

The Solution:

Microsoft Purview was implemented as a unified, governed data catalog. It automated sensitive data classification, introduced certified datasets, and provided end-to-end lineage. Access was controlled through workflow-based approvals, ensuring compliance without slowing analytics.

The Impact:

· 30–50% faster data discovery

· Reduced HIPAA/FERPA compliance risk

· Higher trust in dashboards and AI models

· Lower IT support costs

Conclusion:

With Purview, the conversation shifted from “Is this data safe?” to “This is the trusted dataset.” Governance became an enabler, not a barrier.

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How Microsoft Purview Transformed Data Discovery in Healthcare

February 3, 2026

Introduction:

Healthcare organizations face a unique challenge: balancing innovation with compliance. With HIPAA and FERPA regulations, data discovery can quickly become a compliance risk. At one leading healthcare institution, this challenge was slowing analytics and eroding trust in data.

The Problem:

Data was scattered across clinical, research, and academic systems. Leaders asked simple questions like “Which data can we trust?” but found no clear answers. Discovery relied on tribal knowledge, creating inefficiencies and compliance risks.

The Solution:

Microsoft Purview was implemented as a unified, governed data catalog. It automated sensitive data classification, introduced certified datasets, and provided end-to-end lineage. Access was controlled through workflow-based approvals, ensuring compliance without slowing analytics.

The Impact:

· 30–50% faster data discovery

· Reduced HIPAA/FERPA compliance risk

· Higher trust in dashboards and AI models

· Lower IT support costs

Conclusion:

With Purview, the conversation shifted from “Is this data safe?” to “This is the trusted dataset.” Governance became an enabler, not a barrier.

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