Enterprise Information Management in Practice: Managing Data and Leveraging Profits in Today’s Complex Business Environment

Enterprise Information Management in Practice: Managing Data and Leveraging Profits in Today’s Complex Business Environment

by Saumya Chaki
Released December 2015
Publisher(s): Apress
ISBN: 9781484212189

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Book description

Learn how to form and execute an enterprise information strategy: topics include data governance strategy, data architecture strategy, information security strategy, big data strategy, and strategy to move data warehouses to the cloud. Manage information like a pro, to achieve much better financial results for the enterprise, more efficient processes, and multiple advantages over competitors.

As you’ll discover in Enterprise Information Management in Practice, EIM deals with both structured data (e.g. sales data and customer data) as well as unstructured data (like customer satisfaction forms, emails, documents, social network sentiments, and so forth). With the deluge of information that enterprises face given their global operations and complex business models, as well as the advent of big data technology, it is not surprising that making sense of the large piles of data is of paramount importance. Enterprises must therefore put much greater emphasis on managing and monetizing both structured and unstructured data.

As Saumya Chaki—an information management expert and consultant with IBM—explains in Enterprise Information Management in Practice, it is now more important than ever before to have an enterprise information strategy that covers the entire life cycle of information and its consumption while providing security controls.

With Fortune 100 consultant Saumya Chaki as your guide, Enterprise Information Management in Practice covers each of these and the other pillars of EIM in depth, which provide readers with a comprehensive view of the building blocks for EIM.

Enterprises today deal with complex business environments where information demands take place in real time, are complex, and often serve as the differentiator among competitors. The effective management of information is thus crucial in managing enterprises. Enterprise Information Management (EIM) has evolved as a specialized discipline in the business intelligence and enterprise data warehousing space to address the complex needs of information processing and delivery—and to ensure the enterprise is making the most of its information assets.

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Dedication
  5. Contents at a Glance
  6. Contents
  7. About the Author
  8. About the Technical Reviewer
  9. Acknowledgments
  10. Introduction
  11. Chapter 1: Enterprise Information Management: Definition, Scope, and History
    1. Definition of EIM
    2. EIM’s Scope
      1. Business Intelligence Strategy
      2. Data Integration Strategy
      3. Master Data Management Strategy
      4. Information Governance Strategy
      5. Information Quality Strategy
      6. Data Architecture Strategy
      7. Enterprise Content Management Strategy
      8. Information Security Strategy
    3. A Brief History of Enterprise Information Management
  12. Chapter 2: The Lifecycle of Enterprise Information Management
    1. Understanding the Stages of the Life Cycle of Enterprise Information Assets from Creation to Archival
      1. Creation/Receipt
      2. Distribution
      3. Consumption
      4. Disposition/Archival
      5. Destruction/Retire
      6. Enterprise Information Lifecycle Management
    2. Understanding the Actors in the Stages of the Enterprise Information Lifecycle
      1. Information Lifecycle - Actors and Their Roles
      2. Information Lifecycle—Organization Model
  13. Chapter 3: Components of Enterprise Information Management
    1. Enterprise Information Management—Reference Architecture
    2. Information Sourcing
    3. Information Integration and Exchange
    4. Information Governance and Quality
    5. Information Architecture and Models
    6. Master Information Management
    7. Information Warehousing and Reservoirs
    8. Information Delivery and Consumption
    9. Metadata Management
    10. Big Data Components
  14. Chapter 4: Pillar No. 1: Information Sourcing
    1. Information Sourcing—Types of Sources
      1. Mapping Business Requirements to Source Systems
      2. Profile Source Systems for Relevant Datasets
      3. Define Source Extract Mechanisms
      4. Provide Source Extract Files for Information Integration
    2. Information Sourcing—The Different Approaches
    3. Information Sourcing Patterns and Challenges
    4. Information Sourcing—The Importance of Granularity
  15. Chapter 5: Pillar No. 2: Information Integration and Exchange
    1. Key Drivers for Determining Integration Approach
      1. Nature of Extraction Between Source Systems andConsuming Systems(Push/Pull)
      2. Type ofConnectorsNeeded for Pull from Source Systems
      3. Leverage Data IntegrationEnginefor Transformations of Source Data or Use Database Engine forTransformations
      4. Outbound Extract Formats Needed forConsuming Applications
      5. Understand Data Security’s Needs As Part of the Integration Process and Any Country’s Specific Data Compliance Needs
    2. Information Integration and Exchange— Key Strategies and Mechanisms
      1. Extract, Transform and Load (ETL)
      2. Extract, Load and Transform (ELT)
      3. Data IntegrationHubs
      4. Slowly Changing Dimensions
      5. Real-Time Data Integration
      6. Enterprise Information Integration
    3. Information Exchange Standards—Business to Business and Business to Consumer
    4. Tools for Information Integration and Exchange
  16. Chapter 6: Pillar No. 3: Information Governance and Quality
    1. Define Information Governance and Quality
      1. Information Governance Processes
      2. Information Governance Council
      3. Information Governance Tools
      4. Information Quality Processes
      5. Information Quality Organization Model
      6. Information Quality Tools
    2. Key Drivers for Information Governance and Quality
    3. Building Blocks for Information Governance and Quality
    4. Tools for Information Governance and Quality
  17. Chapter 7: Pillar No. 4: Master Information Management
    1. Definition of Master Information Management
    2. Key Drivers for Master Information Management
      1. Growth
      2. Speed to Market
      3. Cost Optimization
      4. Enhance Collaboration
      5. Single View of Reporting
      6. Compliance
    3. Building Blocks and Enablers for Master Information Management
      1. Master Information Management Vision and Strategy
      2. Information Governance
      3. Information Quality
      4. Master Information ManagementMetrics
      5. Master Information Management Solution Architecture and Tools
    4. Critical Success Factors in Master Information Management
      1. Business Case
    5. Tools for Master Information Management
  18. Chapter 8: Pillar No. 5: Information Warehousing
    1. Information Warehouse Definition
    2. Key Drivers for Information Warehousing
      1. Enhance Customer Experience
      2. Single Version of Truth
      3. 360 Degree View of the Enterprise
      4. Historical and Time Series Analysis
      5. Enhance Data Lakes
      6. Self-Service Business Intelligence
      7. Business Efficiency
      8. Trustworthy, Standardized, Consistent Information
    3. Building Blocks and Enablers for Information Warehousing
      1. Information Warehouse Vision and Strategy
      2. InformationArchitecture
      3. Information Integration andQuality
      4. Information Repository
      5. Information WarehouseSolution Architecture and Tools
    4. Critical Success Factors in Information Warehousing
      1. Business Case
    5. Tools for Information Warehousing
  19. Chapter 9: Pillar No. 6: Information Delivery and Consumption
    1. Information Delivery and Consumption Definition
    2. Key Drivers for Information Delivery and Consumption
      1. Self-Service Business Intelligence
      2. 360 Degree View of the Enterprise
      3. Perform Historical and Time Series Analysis
      4. Enhance Customer Experience
      5. Supply Chain Optimization
      6. Productivity Benefits
      7. Manufacturing Efficiencies
      8. Operational Intelligence
    3. Building Blocks and Enablers for Information Delivery and Consumption
      1. Information Delivery Consumption Vision and Strategy
      2. Information Delivery and Consumption Self-Service Reporting Capabilities
      3. Information Delivery and Consumption Channels
      4. Information Delivery and Consumption Solution Architecture and Tools
    4. Critical Success Factors in Information Delivery and Consumption
    5. Information Security Challenges Concerning Information Delivery and Consumption
    6. Tools for Information Delivery and Consumption
  20. Chapter 10: Pillar No. 7: Metadata Management
    1. Metadata Management Definition
    2. Key Drivers for Metadata Management
      1. Enhance Business Productivity
      2. Improved Change Management
      3. Cost Optimization
      4. Enhance Business Collaboration
      5. Reduce Compliance Risks
      6. Enhance IT Productivity
    3. Building Blocks and Enablers for Metadata Management
    4. Critical Success Factors in Metadata Management
    5. Tools for Metadata Management
  21. Chapter 11: Pillar No. 8: Big Data Components
    1. Big Data Definition
    2. Key Drivers for Big Data Solutions
      1. Data Monetization Opportunities
      2. New Product Innovations
      3. Deeper Customer Insights
      4. Operational Process Efficiencies
      5. Fraud Detection and Reduction of Risk
      6. Cost Optimization
    3. Building Blocks and Enablers for Big Data Solutions
      1. Big Data Vision and Strategy
      2. Big Data Pilot and the Next Steps
      3. Big Data Solution Architecture and Tools
    4. Critical Success Factors in Big Data
    5. Tools for Big Data
  22. Chapter 12: Building an Enterprise Information Management Solution
    1. Key Phases of an EIM Program
      1. Define EIM Blueprint
      2. Define EIM Program Governance Framework and Organization
      3. Develop EIM Strategy and Roadmap
      4. Implement EIM Initiatives and Measure Benefits
    2. The Need for an EIM Center of Excellence (EIM CoE)
      1. Increased Speed of Delivery
      2. Cost Optimization
      3. Create Business Value
      4. Create Reusable Assets
      5. Standardized Architecture and Delivery Models
      6. Project Prioritization
    3. EIM CoE Organization Models
    4. Delivery Phases of an EIM Project
    5. Critical Success Factors of an EIM Project
  23. Chapter 13: EIM in Today’s Business Environment
    1. Key EIM Trends in Today’s Enterprises
      1. Adoption of Hadoop and NoSQL
      2. Information Governance
      3. Social Master Data Management
      4. Emergence of Cloud-Based Information Warehouses
      5. Internet of Things
      6. Streaming Analytics
      7. Impact Areas
    2. Big Data Use Case in Oil and Gas
    3. Big Data Use Case in Mining and Metals
    4. Big Data Use Case in Retail
    5. Emergence of Cloud-Based EIM Solutions
    6. Analytical Data Mart in the Public Cloud
      1. Analytical Data Mart and Business Intelligence Reports/Dashboards in the Public Cloud
    7. Information Warehouse in the Public Cloud
    8. Data Lake in a Hybrid Cloud
    9. Drivers for Moving to the Cloud
  24. Appendix: Glossary of Terms
    1. Chapter 1: Enterprise Information Management: Definition, Scope, and History
    2. Chapter 2: The Lifecycle of Enterprise Information Management
    3. Chapter 3: Components of Enterprise Information Management
    4. Chapter 4: Pillar No. 1: Information Sourcing
    5. Chapter 5: Pillar No. 2: Information Integration and Exchange
    6. Chapter 6: Pillar No. 3: Information Governance and Quality
    7. Chapter 7: Pillar No. 4: Master Information Management
    8. Chapter 8: Pillar No. 5: Information Warehousing
    9. Chapter 9: Pillar No. 6: Information Delivery and Consumption
    10. Chapter 10: Pillar No. 7: Metadata Management
    11. Chapter 11: Pillar No. 8: Big Data Components
    12. Chapter 12: Building an Enterprise Information Management Solution
    13. Chapter 13: EIM in Today’s Business Environment
  25. Index

Product information

  • Title: Enterprise Information Management in Practice: Managing Data and Leveraging Profits in Today’s Complex Business Environment
  • Author(s): Saumya Chaki
  • Release date: December 2015
  • Publisher(s): Apress
  • ISBN: 9781484212189