Microsoft Azure
Azure Data Governance Services
Make data on Azure discoverable, trusted and protected with Microsoft Purview, a practical operating model and owners who keep it alive.
Turn Governance into Everyday Practice on Azure
Data governance programs often start with a policy document and a catalog that few people open. Microsoft Purview changes what is possible: the Data Map scans Azure, on-premises and multicloud sources, the Unified Catalog organizes assets into governance domains and data products, data quality rules score critical tables, and sensitivity labels follow data from Microsoft 365 into Fabric and beyond. The technology, however, only works when roles, processes and priorities are clear.
Hanoi Technology combines both sides. We configure Purview and connect it to Fabric, Azure SQL, Azure Databricks, Azure Data Lake Storage and other sources, and we help you define data owners, stewards and the workflows they use to approve access, resolve quality issues and publish trusted data products.
The Challenge
Why Data Governance Efforts Stall
Governance fails when it is seen as overhead rather than as a service to data users.
Nobody Knows What Data Exists
Analysts spend time searching for the right table, asking colleagues and rebuilding datasets that already exist, because there is no reliable catalog.
Unclear Ownership
Without named owners and stewards, quality issues and access requests have nowhere to go, and definitions drift between departments.
Sensitive Data Without Protection
Personal and confidential data spreads into lakehouses, exports and reports without classification, creating regulatory risk under laws such as GDPR.
Low Trust in Data Quality
Dashboards show conflicting numbers, and no one can say whether a table is complete, current or accurate enough for a decision.
Business Value
Business Value of Governance on Azure
Faster Discovery
Business users search the Unified Catalog by business terms and data products, see owners and quality scores, and request access in one place.
Clear Accountability
Governance domains align data with business areas, each with owners and stewards responsible for definitions, quality and access decisions.
Measurable Data Quality
Purview data quality rules and scorecards show the health of critical data elements over time, so improvement efforts can be targeted.
Consistent Protection
Sensitivity labels and data loss prevention policies apply across Microsoft 365, Fabric and Power BI, reducing the risk of sensitive data leaving approved boundaries.
Audit-Ready Lineage
Lineage from source systems through pipelines to Power BI reports shows auditors and analysts where numbers come from.
A Foundation for Responsible AI
Classified, high-quality data with known owners is the prerequisite for grounding copilots and AI agents safely.
Govern the Data That Matters Most First
Trying to catalog everything at once exhausts budgets and goodwill. We start with the critical data elements behind key decisions and regulatory reports, prove value there, and expand governance domain by domain.
Our Services
Hanoi Technology’s End-to-End Azure Data Governance Services
A balanced mix of operating model, technology configuration and adoption support.
Governance Strategy and Operating Model
We define principles, roles, governance domains, decision rights and processes for access, quality and change, scaled to your organization.
- Governance charter
- RACI for owners and stewards
- Domain model
Microsoft Purview Implementation
We configure Data Map scanning, collections, classifications and integration with Fabric, Azure SQL, Azure Databricks, ADLS and on-premises sources.
- Configured Purview account
- Scanning schedules
- Custom classifications
Unified Catalog and Data Products
We set up governance domains, data products, business glossary terms, critical data elements and access policies so users find and request data in business terms.
- Glossary and data products
- Access request workflows
- Catalog adoption plan
Data Quality Management
We define rules for completeness, validity, uniqueness and freshness on critical data, schedule scans and publish scorecards with alerts to stewards.
- Data quality rules
- Quality scorecards
- Issue remediation process
Data Security and Compliance
We design sensitivity label taxonomies, apply them to Fabric and Power BI items, configure DLP policies and use Data Security Posture Management insights.
- Label taxonomy
- DLP policies
- Compliance mapping
Lineage and Metadata Integration
We capture lineage from Data Factory, Fabric and Databricks, including Unity Catalog where relevant, and connect it with business metadata.
- End-to-end lineage views
- Metadata integration
- Impact analysis process
Our Approach
How We Implement Data Governance
Value-first rollout that builds habits, not just configuration.
- 01
Assess Maturity and Priorities
We review current policies, roles, tools and pain points, and identify the critical data elements and regulatory drivers to address first.
Deliverables: Maturity assessment · Priority data domains
- 02
Design the Operating Model
We agree governance domains, roles, processes and success measures with business and IT leaders.
Deliverables: Operating model · Success metrics
- 03
Configure Purview
We connect priority sources, configure scans, classifications, glossary, data products and quality rules.
Deliverables: Configured platform · Catalog content for pilot domain
- 04
Pilot with Real Users
A pilot domain uses the catalog, access workflow and quality scorecards for real decisions, and we refine based on feedback.
Deliverables: Pilot results · Refined processes
- 05
Scale and Embed
We roll out to further domains, train owners and stewards, and set up regular governance reviews.
Deliverables: Rollout plan · Training materials
Use Cases
Data Governance Use Cases
Concrete situations where Purview-based governance pays off.
Regulatory Reporting Lineage
A bank documents lineage for risk reports from core banking tables to Power BI, giving auditors a clear trail of transformations.
Customer Data Classification
A retailer automatically classifies personal data across lakehouses and databases and applies labels that restrict export and sharing.
Self-Service Data Marketplace
Analysts browse certified data products in the Unified Catalog and request access, with approvals routed to the responsible data owner.
Quality Scorecards for Master Data
Customer and product master data receives completeness and validity rules, with weekly scorecards reviewed by stewards.
Merger Data Harmonization
Two merged companies align glossary terms and definitions for revenue and customer, reducing reporting disputes.
AI Readiness Review
Before launching a copilot, a company identifies and labels sensitive documents and confirms which data sources are approved for grounding.
Technology
Governance Tools We Implement
Microsoft Purview at the core, integrated with your data platforms.
- Microsoft Purview
- Purview Unified Catalog
- Purview Data Map
- Purview Data Quality
- Purview Information Protection
- Purview Data Loss Prevention
- Data Security Posture Management
- Microsoft Fabric
- OneLake Catalog
- Power BI
- Azure Databricks Unity Catalog
- Azure SQL Database
- Azure Data Lake Storage
- Microsoft Entra ID
Platforms
Complementary Governance Platforms
Why Hanoi Technology
Why Organizations Choose Hanoi Technology
Senior, Cross-Functional Teams
Strategy, data, AI, cloud and engineering specialists work as one team, so nothing is lost between hand-offs.
Proven Delivery
More than 50 projects delivered for clients in North America, Europe and Asia-Pacific.
Radical Transparency
A written update every week and a demo of working software every sprint, so you always know where things stand.
Cost-Effective Global Delivery
Experienced engineers from our Hanoi delivery hub, with working-hour overlap for every major time zone.
Success Story · Real estate
Transparent AI property valuation for a multi-city marketplace
A growing real estate marketplace wanted buyers to trust its prices. We built a valuation engine and property pages that compare the estimated value with the asking price.
Read the Full StoryMore Success Stories
Fintech
+162%monthly active usersAll-in-one digital banking app for a traditional bank
A traditional financial institution wanted to compete with neobanks for mobile-first customers. We replaced a set of separate banking, investing and payment apps with one product that people use every day.
Resources
Featured Resources
Industry trends and practical guidance to help you get more value from data, AI and technology.
FSMA 204 After the Delay: Using Shipment Monitoring to Get Traceability-Ready by 2028
The FDA Food Traceability Rule deadline moved to July 2028, but the data work is large. Here is how to use shipment monitoring and event data to get ready without wasting the extra time.
CSRD After the Omnibus: What the Revised ESRS Mean for Reporting From 2027
The Omnibus and the simplified ESRS reshaped EU sustainability reporting in 2026. Here is who is in scope, what changed in the standards and how to adapt your data and process.
OpenTelemetry in 2026: Building a Vendor-Neutral Observability Strategy
OpenTelemetry has become the default way to collect telemetry. Here is what changed in 2026 and a practical roadmap for a vendor-neutral observability stack.
Build Governance People Will Use
Book a free consultation to discuss your data landscape and compliance drivers. We will propose a pilot domain and show how Microsoft Purview could support it.
Azure Data Governance FAQ
What is Microsoft Purview and what does it cover?
Microsoft Purview is Microsoft’s family of data governance, security and compliance solutions. For data governance, the Data Map discovers and classifies assets, and the Unified Catalog organizes them into governance domains, data products, glossary terms and data quality rules. Separate Purview solutions cover information protection, data loss prevention, insider risk and compliance management. We focus on the governance capabilities and integrate the security pieces where your requirements need them.
Can Purview govern data outside Azure?
Yes. The Data Map can scan many sources beyond Azure, including on-premises SQL Server, Amazon S3, Snowflake, Google BigQuery and various SaaS applications, depending on connector support. Some connectors require a self-hosted integration runtime. We confirm support for your specific sources early, and where a source is not covered, we look at alternatives such as custom metadata ingestion through the Purview APIs.
How long before governance shows results?
A focused pilot covering one domain, its critical data elements and a working catalog with quality scorecards usually takes two to three months. Results appear quickly when the pilot is chosen around a real problem, such as conflicting revenue figures or an upcoming audit. Broader rollout continues domain by domain, with each wave reusing the model and configuration established in the pilot.
What does Microsoft Purview cost?
Purview pricing combines several elements, such as Data Map capacity and scanning, data governance features in the Unified Catalog, and licensing for information protection features that often come with Microsoft 365 plans. Costs depend on the number of sources, scan frequency and assets governed. We estimate costs for your scope and design scan schedules that balance freshness against consumption.
Do we need dedicated data stewards?
You need people with responsibility for data, but rarely new full-time positions at the start. Most organizations assign stewardship to subject matter experts who already know the data, with a small allocation of their time. We define what the role involves, provide training and make the tools easy to use, so stewardship fits into existing work rather than adding bureaucracy.
How does governance relate to Fabric and Power BI?
Fabric has built-in governance features such as the OneLake catalog, endorsement, sensitivity labels and lineage views, and it integrates with Purview for enterprise-wide governance. We use Fabric’s native features for workspace-level control and Purview for cross-platform catalog, quality and protection. Sensitivity labels applied in Fabric and Power BI follow data when it is exported to Excel or PowerPoint.