Data Quality in Microsoft Purview: From 'Gut Feeling' to Governed Trust

Good data is the lifeblood of the modern enterprise, yet data quality is often the most neglected part of the governance lifecycle.

Historically, checking for data accuracy meant jumping between siloed tools and manual spreadsheets. The new unified Microsoft Purview Governance platform changes the game by making Data Quality a core pillar of the Data Governance. This session provides a concentrated deep dive into the new Data Quality engine, designed for organisations who need to move fast.

We will break down the journey of a data asset through the new "Trust" workflow:

Profiling & Discovery: Automatically understanding the "shape" of your data before you write a single rule.

Rule Intelligence: Moving beyond manual SQL checks to leverage Purview’s Data Quality scan recommendations and business-aligned dimensions.

Expect a 'no-fluff' session focused on implementation over theory. We’re diving deep into the mechanics of operationalizing quality across business domains, ensuring your data is more than just a line in a catalog - it’s a trusted, AI-ready asset. This is your fast-track guide to mastering the new Purview Data Quality workflow.

Data Quality at Scale: Implement the new Purview engine to profile your data and scan your data for data quality Operationalize Data Trust: Move from passive cataloging to active governance by applying data quality scores across different business domains and data products. Build an AI-Ready Foundation: Establish a "verified" data estate that ensures your AI models and business users are working with high-integrity, reliable data.