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Reduce Rework in Microsoft Purview

Align Data Governance and Architecture from the Start

Rework in modern data platforms often begins with misalignment.

When Microsoft Purview governance and physical database design evolve separately, business definitions drift from technical implementation. The result is semantic confusion, rebuilds, and delayed modernization efforts.

In this on-demand webinar, you will see how integrating Microsoft Purview with ER/Studio Enterprise Team Edition connects governed business terms, ownership, and standards directly to physical data models.

Through a practical demonstration, you will learn how to reduce rework by ensuring governance guides architecture from the beginning.

What You’ll Learn

  • Align business glossary terms, ownership, and standards with physical database design
  • Reduce semantic drift between governance and engineering teams
  • Improve collaboration across data governance, architecture, and development
  • Support modernization initiatives with governance-ready modeling workflows
  • Create a repeatable process where governance drives design decisions

Why This Matters

Misalignment between governance and architecture slows delivery and increases risk. This session shows how Microsoft Purview and ER/Studio Enterprise Team Edition work together to:

  • Prevent downstream rebuilds
  • Strengthen cross-team alignment
  • Improve consistency across enterprise data models
  • Support scalable, governed data platform initiatives

ER/Studio Enterprise Team Edition provides collaboration, version control, and metadata management capabilities that help enterprise teams design and govern data models at scale. See how governance-driven modeling reduces rework and improves alignment across your Microsoft Purview and data architecture initiatives.

Have Questions?

Have questions or want to see it in your environment? Schedule a demo.

Frequently Asked Questions

How does Microsoft Purview integrate with ER/Studio?

Microsoft Purview-governed terms, ownership, and standards can be mapped directly to ER/Studio physical models, ensuring alignment between business context and technical implementation.

How does this reduce rework?

When governance and architecture are aligned early, teams avoid semantic drift, rebuilds during modernization, and inconsistencies between business definitions and deployed systems.

Who should watch this webinar?

Data Architects, Data Engineers, Governance Leads, and anyone responsible for Microsoft Purview initiatives or enterprise data platform modernization.

Is this relevant for modernization projects?

Yes. The session demonstrates how governance-driven modeling supports scalable, repeatable modernization workflows.

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