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INFORMATION RESOURCE MANAGEMENT IN THE KNOWLEDGE AGE:

(The Evolution of Data Administration)

Why this Course?

"Data administration" on a project-by-project basis will continue to fail to manage and exploit the enterprise's second most valuable resource next to its people. The Knowledge Age demands that data administration grow into an effective information resource management (IRM) function in order to create competitive advantage in an intelligent learning organization.

In this seminar you learn how to implement an information resource management function that is a true leadership and management tool. You learn the goals and objectives that IRM must achieve to accomplish data sharing. Addressed are the management, technical, and organization issues required to implement IRM effectively, as well as how to acquire–and sustain–senior management support. Potential pitfalls facing IRM are identified along with guidance on how to avoid them.

Special focus is placed on the role of IRM in the new environment of downsizing and client/server technology, distributed computing and decentralized application development. Information quality and metrics for measuring and managing are addressed as components in a Total Quality Management program.

 


Learning Objectives:

Upon completion of this seminar, you will be able to:
  • Define data, information, knowledge and wisdom; and define data management, information management, information resource management and knowledge management
  • Describe the goals and objectives of the IRM function
  • Describe the functions and responsibilities of IRM
  • Develop effective IRM standards and procedures
  • Identify ways to acquire and maintain senior management commitment
  • Develop an IRM vision and mission statement
  • Develop information policy
  • Describe the components of an Enterprise Information Architecture Framework (Zachman)
  • Describe how to perform data modeling and analysis to accomplish data sharing
  • Identify the placement of IRM, DA and DBA (Database Administration) functions for optimum effectiveness
  • List major inhibitors to IRM and describe tactics to overcome them
Audience: Information and Data Resource Managers, Data Administrators, Database Administrators, Data Analysts, Knowledge Managers, Information Systems Management, Information Systems planners, Database Designers, Application developers involved in data analysis
Format: Lecture with exercises and case study to reinforce the concepts.
Duration:
 3 Days
Pre-requisites: Basic understanding of information systems or business management

 

 

Course Outline:

       

 

1. Information Management (IM) in the Realized Information Age

  • The apex of the information revolution
  • From data to information to knowledge to wisdom
  • How IRM significantly reduces the cost of development
  • How IRM significantly increases business effectiveness


2. The Objectives and Functions of Information Resource Management

  • The accountabilities of IRM
  • Developing a responsibility matrix
  • IRM and the business value chain


3. Data Dictionary and Repository Management: Managing the Information "Inventory"

  • Repository objectives and requirements
  • Designing the metadata model
  • Integrating development tools
  • Managing a multiple Repository/Dictionary environment


4. Effective Data Standards: Creating a Common Business Language

  • What information resource data (metadata) is
  • The what and why of information policy
  • How to develop effective data standards and procedures
  • Information quality ingredients
  • Metrics for measuring and managing information quality


5. Planning for the Information Resource

  • Strategic information visioning
  • Developing information architecture to enterprise objectives
  • Subject area databases: a business resource approach


6. Developing Conceptual Data Models: Modeling Enterprise Knowledge

  • Entity-relationship modeling
  • DM4 (Data Model Mind Mapping Method)™
  • Object principles for data modeling
  • Quality Function Deployment (QFD) and data modeling


7. Value-Centric Application Engineering

  • Increasing the effectiveness of application engineering
  • IRM and value-centric engineering tasks
  • Business rules and data integrity
  • IRM and software package evaluation
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    8. Database Administration

    • Architecting physical design
    • Conversion and coexistence techniques from conceptual models

    9. IRM in the decentralized environment

    • Distributed information resource management
    • IRM in the Internet environments
    • IRM in data warehousing

    10. Organizing for Effective IRM

    • Organization for information management
    • The organizational culture in the information-age enterprise
    • IRM staffing guidelines
    • Information stewardship and accountability
    • Distributed IRM organization
    • How to establish the IRM function
    • Implementing or enhancing an existing IRM function

    11. How to Assure the Success of IRM

    • Acquiring and sustaining management "commitment" and active involvement
    • Exploiting information politics for advantage
    • Developing an IRM vision and mission
    • Measuring IRM performance: how do we know we have succeeded?
    • Avoiding fatal pitfalls
    • Cost justification and value analysis
    • Characteristics of successful IRM organizations
    • Facilitating and leading culture change

    12. Continuing Evolution of IRM

    • IRM as a strategic business function
    • Advances in information technology and its impact on IRM
    • IRM and knowledge management
    • The knowledge worker in the intelligent learning organization
     

     

     

     

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