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Book Description

The vast majority of businesses today already have a documented data strategy. But only a third of these forward-thinking companies have evolved into data-driven organizations or even begun to move toward a data culture. Most have yet to treat data as a business asset, much less use data and analytics to compete in the marketplace. What’s the solution?

This insightful report demonstrates the importance of creating a holistic data infrastructure approach. You’ll learn how data virtualization (DV), master data management (MDM), and metadata-management capabilities can help your organization meet business objectives. Chief data officers, enterprise architects, analytics leaders, and line-of-business executives will understand the benefits of combining these capabilities into a unified data platform.

  • Explore three separate business contexts that depend on data: operations, analytics, and governance
  • Learn a pragmatic and holistic approach to building a unified data infrastructure
  • Understand the critical capabilities of this approach, including the ability to work with existing technology
  • Apply six best practices for combining data management capabilities

Table of Contents

  1. Building a Unified Data Infrastructure
    1. Data Must Support Operations, Analytics, and Governance
      1. Operations
      2. Analytics
      3. Governance
    2. Taking a Pragmatic, Holistic Approach to a Unified Data Infrastructure
      1. Characteristics of a Holistic, Unified Data Infrastructure
      2. Master Data Management and Reference Data Management
      3. Data Virtualization
    3. Combining MDM, RDM, and Data Virtualization: Best Practices
      1. Don’t Virtualize Everything
      2. Implement the 3-3-3 Rule
      3. Have an Enterprise Vision, but Use a Pragmatic, Incremental Approach
      4. Take a Model-Driven Approach to MDM
      5. Use the RACI Model
      6. Crawl, Walk, Run
    4. Summary: Benefits of a Holistic, Unified Data Infrastructure
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