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learn-pr/wwl-sci/describe-purview-data-governance/1-introduction.yml

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metadata:
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title: Introduction
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description: "Introduction to the module, Describe data governance solutions of Microsoft Purview."
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ms.date: 9/19/2024
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ms.date: 04/03/2026
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author: wwlpublish
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ms.author: ceperezb
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ms.topic: unit

learn-pr/wwl-sci/describe-purview-data-governance/2-describe-benefits-data-governance.yml

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title: Describe the concepts and benefits of data governance
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description: "Describe the concepts and benefits of data governance."
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ms.date: 9/19/2024
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ms.date: 04/03/2026
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author: wwlpublish
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learn-pr/wwl-sci/describe-purview-data-governance/3-describe-data-catalog.yml

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### YamlMime:ModuleUnit
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uid: learn.describe-purview-data-governance.describe-data-catalog
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title: Describe Microsoft Purview Data Catalog
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title: Describe Microsoft Purview Unified Catalog
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metadata:
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title: Describe Microsoft Purview Data Catalog
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description: "Describe Microsoft Purview Data Catalog."
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ms.date: 9/19/2024
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title: Describe Microsoft Purview Unified Catalog
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description: "Describe the features of Microsoft Purview Unified Catalog, including governance domains, data products, glossary terms, and data quality."
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ms.date: 04/03/2026
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### YamlMime:ModuleUnit
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uid: learn.describe-purview-data-governance.describe-data-map
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title: Describe Microsoft Purview Data Map
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metadata:
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title: Describe Microsoft Purview Data Map
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description: "Describe how Microsoft Purview Data Map captures metadata across hybrid and multicloud environments to provide the foundation for data governance."
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ms.date: 04/03/2026
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author: wwlpublish
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ms.author: ceperezb
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ms.topic: unit
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durationInMinutes: 5
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content: |
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[!include[](includes/3a-describe-data-map.md)]

learn-pr/wwl-sci/describe-purview-data-governance/4-knowledge-check.yml

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metadata:
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title: Module assessment
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description: "Knowledge check for the module, Describe the data governance capabilities of Microsoft Purview."
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quiz:
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questions:
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- content: "Which feature of Microsoft Purview Data Catalog is used to provide critical business context to your data assets and also apply policies that determine how your data should be managed, governed, and made discoverable for users"
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- content: "Which feature of Microsoft Purview Unified Catalog is used to provide critical business context to your data assets and also apply policies that determine how your data should be managed, governed, and made discoverable for users?"
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choices:
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- content: "Glossary terms"
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isCorrect: true
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explanation: Correct. Glossary terms provide critical business context to your data assets and also apply policies that determine how your data should be managed, governed, and made discoverable for use."
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explanation: "Correct. Glossary terms provide critical business context to your data assets and also apply policies that determine how your data should be managed, governed, and made discoverable for use."
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- content: "Data products"
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isCorrect: false
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explanation: "Incorrect. The data product feature provides context for the assets that are included within it, and provides a use case for data consumers. The data products feature doesn't apply policies."
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- content: "Objectives and key results (OKRs)"
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isCorrect: false
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explanation: "Incorrect. OKRs in Microsoft Purview are trackable business objectives tied to governance domains and data products to emphasize the value of business data."
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- content: "Which data governance concept is about organizing, annotating, and publishing your data so that it's safely accessible, reuseable, and protected."
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- content: "Which data governance concept is about organizing, annotating, and publishing your data so that it's safely accessible, reusable, and protected?"
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- content: "Data curation"
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isCorrect: true
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explanation: "Correct. Data curation is about organizing, annotating, and publishing your data so that it's safely accessible, reuseable, and protected."
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explanation: "Correct. Data curation is about organizing, annotating, and publishing your data so that it's safely accessible, reusable, and protected."
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- content: "Data access"
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isCorrect: false
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explanation: "Data access is about quickly providing the right access and enforcing the right use to balance safety and innovation."
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explanation: "Incorrect. Data access is about quickly providing the right access and enforcing the right use to balance safety and innovation."
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- content: "Data health"
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isCorrect: false
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explanation: "Data health is about ensuring data quality standards are maintained across your estate, and having an active data lifecycle keeping your data fresh and secure."
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explanation: "Incorrect. Data health is about ensuring data quality standards are maintained across your estate, and having an active data lifecycle keeping your data fresh and secure."
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- content: "What is the primary purpose of Microsoft Purview Data Map?"
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choices:
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- content: "To capture metadata about data across hybrid, on-premises, and multicloud environments"
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isCorrect: true
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explanation: "Correct. Data Map provides the foundation for data discovery and governance by capturing metadata about data present in analytics, SaaS, and operational systems across hybrid, on-premises, and multicloud environments."
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- content: "To create data products and glossary terms for data consumers"
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isCorrect: false
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explanation: "Incorrect. Data products and glossary terms are features of Microsoft Purview Unified Catalog, not Data Map."
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- content: "To manage user access policies for data assets"
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isCorrect: false
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explanation: "Incorrect. Access policies are managed through Microsoft Purview Unified Catalog. Data Map focuses on scanning and capturing metadata."
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- content: "How do Microsoft Purview Data Map and Unified Catalog work together?"
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choices:
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- content: "Data Map scans and captures metadata, while Unified Catalog curates and governs the data using that metadata"
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isCorrect: true
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explanation: "Correct. Data Map provides the foundation by scanning data sources and capturing metadata. Unified Catalog builds on that metadata to provide tools for curation, governance, and access management."
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- content: "Unified Catalog scans data sources, and Data Map organizes the results into governance domains"
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isCorrect: false
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explanation: "Incorrect. Data Map handles scanning and metadata capture. Unified Catalog uses that metadata for governance activities like organizing into governance domains."
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- content: "Data Map and Unified Catalog are independent tools that don't share data"
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isCorrect: false
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explanation: "Incorrect. Data Map and Unified Catalog are designed to work together. Unified Catalog depends on the metadata that Data Map captures through scanning."

learn-pr/wwl-sci/describe-purview-data-governance/5-summary.yml

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title: Summary
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description: "Summary for the module, Describe the data governance solutions of Microsoft Purview."
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Imagine you're part of a large organization that handles vast amounts of data daily. The data is scattered across different departments and systems, making it difficult to manage, secure, and utilize effectively. The challenge is to implement a robust data governance strategy that not only ensures data security and compliance but also enhances data visibility and creates business value. This is where Microsoft Purview's data governance solutions come into play, utilizing AI and modern technologies to address these issues.
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Imagine you're part of a large organization that handles vast amounts of data daily. The data is scattered across different departments and systems, making it difficult to manage, secure, and use effectively. The challenge is to implement a data governance strategy that not only ensures data security and compliance but also enhances data visibility and creates business value. This is where Microsoft Purview's data governance solutions come into play.
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In this module, you start by learning about key principles of data governance, the roles involved in it, and the benefits that good data governance can bring to an organization. Then you learn about data governance with Microsoft Purview.
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In this module, you start by learning about key principles of data governance, the roles involved in it, and the benefits that good data governance can bring to an organization. Then you learn about the two primary data governance solutions in Microsoft Purview: Data Map and Unified Catalog.
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After completing this module, you'll be able to:
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- Describe the concepts and benefits of data governance.
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- Describe key features of Microsoft Purview Data Catalog.
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- Describe what Microsoft Purview Data Map does and why it matters.
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- Describe key features of Microsoft Purview Unified Catalog.
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Historically, data governance has been a defense mechanism, a way to make sure your data is secure and compliant. But good data governance also makes your data more visible to your users and provides many opportunities to reunite your business with the data that fuels it.
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Historically, data governance has been a defense mechanism, a way to make sure your data is secure and compliant. But good data governance also makes your data more visible to your users and provides many opportunities to reunite your business with the data that fuels it.
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Microsoft Purview data governance solutions leverage AI and modern technologies to ensure data quality, security, and compliance while also accelerating value creation. Before going into the descriptions of these solutions, it's important to understand some key principles and concepts associated with data governance.
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With the growing use of artificial intelligence (AI) across businesses, data governance is more important than ever. AI systems depend on trusted, high-quality data to produce accurate insights and support sound business decisions. When AI models ingest poorly governed data—data that's incomplete, inconsistent, or mislabeled—the results are unreliable. At the same time, evolving regulations around AI use add new requirements for how organizations manage and protect their data. Good data governance helps you meet those requirements while also making sure your data is ready for AI workloads.
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#### Data governance concepts
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Microsoft Purview data governance solutions help ensure data quality, security, and compliance while also accelerating value creation. Before going into the descriptions of these solutions, it's important to understand some key principles and concepts associated with data governance.
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- **Federated governance** provides a centralized place to develop data safety, quality, and standards, but provides tools to create self-service access control, discoverability, and maintenance. Federated data governance spreads ownership across your business, reducing bottlenecks and encouraging participation in the life cycle of managing, governing, consuming, and applying data.
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## Data governance concepts
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- **Federated governance** provides a centralized place to develop data safety, quality, and standards, but also provides tools to create self-service access control, discoverability, and maintenance. Federated data governance spreads ownership across your business, reducing bottlenecks and encouraging participation in the life cycle of managing, governing, consuming, and applying data.
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- **Data access** is about quickly providing the right access and enforcing the right use to balance safety and innovation.
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- **Data curation** is about organizing, annotating, and publishing your data so that it's safely accessible, reuseable, and protected.
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- **Data curation** is about organizing, annotating, and publishing your data so that it's safely accessible, reusable, and protected.
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- **Data discovery** is about ensuring users can find the data they need for day-to-day business and innovation.
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- **Data health** is about ensuring data quality standards are maintained across your estate, and having an active data lifecycle keeping your data fresh and secure.
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- **Data understanding** is about ensure data has quality descriptors that help users understand what the data is and how it should be used.
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- **Data understanding** is about ensuring data has quality descriptors that help users understand what the data is and how it should be used.
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#### Data roles and responsibilities
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## Data roles and responsibilities
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- **Data consumers** quickly find and use relevant, trusted datasets through streamlined access request workflow.
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- **Data consumers** quickly find and use relevant, trusted datasets through streamlined access request workflows.
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- **Data owners** register data assets for use, manage classifications and access, and ensure high quality standards.
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- **Data stewards** ensure data quality, seamless data discovery, glossary consistency, and lineage.
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- **Central data office** establish and ensure governance policies, active metadata, compliance, and insights into overall governance health.
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- **Central data office** establishes and ensures governance policies, active metadata, compliance, and insights into overall governance health.
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#### Benefits of data governance
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## Benefits of data governance
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Good data governance helps reveal your data's business value and simplifies data management as your data estate grows. It provides important benefits to the different data roles:
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- For organization-wide data consumers:
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- Data discovery - helps you easily find the data you need.
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- Secure access - facilitates safe access to your data.
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- Data understanding - providing what you need to know about the data.
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- Data discoveryhelps you easily find the data you need.
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- Secure accessfacilitates safe access to your data.
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- Data understanding—provides what you need to know about the data.
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- For data owners and stewards:
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- Data curation and management - helps you deliver high quality data that's easy to understand and safely access for organization-wide applications.
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- Responsible data use - helps you ensure that your data is used by intended users for intended purposes.
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- Impact analysis - understand actions on the data that may impact your data.
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- Data curation and managementhelps you deliver high quality data that's easy to understand and safely access for organization-wide applications.
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- Responsible data usehelps you ensure that your data is used by intended users for intended purposes.
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- Impact analysisunderstand actions on the data that may affect your data.
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- For data officers and CxO stakeholders:
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- Data value creation - maximize value creation from your data while reducing operations spend.
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- Data estate standardization - create common controls across your data estate with federated accountability so your data is healthy and safe.
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- Data value creationmaximize value creation from your data while reducing operations spend.
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- Data estate standardizationcreate common controls across your data estate with federated accountability so your data is healthy and safe.
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Microsoft Purview data governance delivers on these benefits through the rich set of features in Microsoft Purview Data Catalog.
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Microsoft Purview data governance delivers on these benefits through the capabilities of Data Map and Unified Catalog, described in the units that follow.

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