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IBM Information Governance Solutions

Book Description

Managing information within the enterprise has always been a vital and important task to support the day-to-day business operations and to enable analysis of that data for decision making to better manage and grow the business for improved profitability. To do all that, clearly the data must be accurate and organized so it is accessible and understandable to all who need it.

That task has grown in importance as the volume of enterprise data has been growing significantly (analyst estimates of 40 - 50% growth per year are not uncommon) over the years. However, most of that data has been what we call "structured" data, which is the type that can fit neatly into rows and columns and be more easily analyzed. Now we are in the era of "big data." This significantly increases the volume of data available, but it is in a form called "unstructured" data. That is, data from sources that are not as easily organized, such as data from emails, spreadsheets, sensors, video, audio, and social media sites. There is valuable information in all that data but it calls for new processes to enable it to be analyzed.

All this has brought with it a renewed and critical need to manage and organize that data with clarity of meaning, understandability, and interoperability. That is, you must be able to integrate this data when it is from within an enterprise but also importantly when it is from many different external sources.

What is described here has been and is being done to varying extents. It is called "information governance." Governing this information however has proven to be challenging. But without governance, much of the data can be less useful and perhaps even used incorrectly, significantly impacting enterprise decision making. So we must also respect the needs for information security, consistency, and validity or else suffer the potential economic and legal consequences. Implementing sound governance practices needs to be an integral part of the information control in our organizations.

This IBM® Redbooks® publication focuses on the building blocks of a solid governance program. It examines some familiar governance initiative scenarios, identifying how they underpin key governance initiatives, such as Master Data Management, Quality Management, Security and Privacy, and Information Lifecycle Management. IBM Information Management and Governance solutions provide a comprehensive suite to help organizations better understand and build their governance solutions. The book also identifies new and innovative approaches that are developed by IBM practice leaders that can help as you implement the foundation capabilities in your organizations.

Table of Contents

  1. Front cover
  2. Notices
    1. Trademarks
  3. Preface
    1. Authors
    2. Now you can become a published author, too!
    3. Comments welcome
    4. Stay connected to IBM Redbooks
  4. Chapter 1. Information Governance: foundations and solutions
    1. 1.1 Common themes and focus of this book
    2. 1.2 Thought leadership and innovation
    3. 1.3 Implementing information governance
      1. 1.3.1 Some final foundation governance thoughts
      2. 1.3.2 Understanding why implementing IG can be hard
    4. 1.4 The Information Governance Component Model
      1. 1.4.1 Developing your approach
      2. 1.4.2 Breaking down the IG Component Model value
  5. Chapter 2. Information Governance organizational structures
    1. 2.1 Introduction to organizational structures
    2. 2.2 Introduction to information governance roles
    3. 2.3 Governance layers
      1. 2.3.1 Governing functions and roles
      2. 2.3.2 Governed functions and roles
    4. 2.4 Organizational structures and the communications model
      1. 2.4.1 Understanding the SCM
    5. 2.5 Application of data stewardship
      1. 2.5.1 Creating and managing data stewards
      2. 2.5.2 Applying data stewards to information assets
  6. Chapter 3. Business definitions and policies in IBM InfoSphere Information Server
    1. 3.1 Introduction to business definitions
    2. 3.2 Introduction to business policies
    3. 3.3 InfoSphere Information Server
      1. 3.3.1 IBM InfoSphere Business Glossary
      2. 3.3.2 Business Glossary subject material and council
      3. 3.3.3 Managing Business Glossary categories and terms
      4. 3.3.4 Managing Business Glossary Policies and Rules
      5. 3.3.5 Managing Business Labels
    4. 3.4 Benefit and value
  7. Chapter 4. Workflows and business specifications
    1. 4.1 Introduction to Workflows
    2. 4.2 Introduction to business specifications
    3. 4.3 InfoSphere Information Server
      1. 4.3.1 InfoSphere Blueprint Director
      2. 4.3.2 InfoSphere FastTrack
    4. 4.4 Benefit and value
  8. Chapter 5. Metrics and measurements
    1. 5.1 Metrics and Measurements community
    2. 5.2 Required infrastructure
    3. 5.3 Capitalizing on your metrics and measurements
    4. 5.4 Scorecards and dashboards
  9. Chapter 6. Business drivers for information governance
    1. 6.1 A vision of trust
    2. 6.2 Classic business drivers
    3. 6.3 Business reasons for information governance initiatives
      1. 6.3.1 Integration quality scenario
      2. 6.3.2 Information Lifecycle Management scenarios
      3. 6.3.3 Master Data Management scenario
      4. 6.3.4 Data Security scenario
  10. Chapter 7. Data Quality
    1. 7.1 What is Data Quality?
    2. 7.2 Data quality scenario
      1. 7.2.1 Assess existing application and associated processes
      2. 7.2.2 Identify data owners: Data stewards
      3. 7.2.3 Perform data quality assessment
      4. 7.2.4 Work with data stewards to establish rules for data validation
      5. 7.2.5 Work with data stewards to establish match criteria
      6. 7.2.6 Perform lifecycle of application development, user, and acceptance testing
      7. 7.2.7 Design new and improve existing processes for managing de-duplication
      8. 7.2.8 Organization structures, roles, and responsibilities
  11. Chapter 8. Information Lifecycle Management
    1. 8.1 What is ILM
    2. 8.2 ILM: Decommissioning
      1. 8.2.1 The high-level steps to enterprise decommissioning
      2. 8.2.2 Understand the information: Assess the application landscape
      3. 8.2.3 Organization structures, roles, and responsibilities
      4. 8.2.4 New decommissioning policies and processes
      5. 8.2.5 Refine program and communicate
      6. 8.2.6 Implement technologies to support the new IG capability
      7. 8.2.7 Recruit and enable resources
      8. 8.2.8 Decommission applications
      9. 8.2.9 Build into an operational capability
      10. 8.2.10 Monitor, measure, and report
  12. Chapter 9. Test data management
    1. 9.1 Provisioning
    2. 9.2 Privatization
    3. 9.3 Approach
    4. 9.4 Assessment
    5. 9.5 Gap Analysis: Aligning capability and maturity
    6. 9.6 Organizational alignment
    7. 9.7 TDM definitions, policies, and processes
    8. 9.8 Alignment of technology capabilities
    9. 9.9 Operationalizing your TDM/DP approach
    10. 9.10 Value-based measurements and monitoring
  13. Chapter 10. Master Data Management
    1. 10.1 What is Master Data Management
      1. 10.1.1 MDM functionality that can support information governance
    2. 10.2 MDM scenario - outsourcing and acquisition
      1. 10.2.1 Analysis
      2. 10.2.2 Design
      3. 10.2.3 Summary of information governance support
  14. Chapter 11. Data protection and security scenario
    1. 11.1 Scope, objectives, and goal
    2. 11.2 Approach
      1. 11.2.1 Discover your data
      2. 11.2.2 Identify and classify sensitive data
      3. 11.2.3 Secure and protect
      4. 11.2.4 Monitor and audit
  15. Appendix A. Additional material
    1. Locating the Web material
    2. Using the Web material
  16. Related publications
    1. IBM Redbooks
    2. Other publications
    3. Online resources
    4. Help from IBM
  17. Back cover