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BG 202 – Big Data Governance Strategy and Development

Duration: 3 – 4 day

This seminar will offer a methodology for creating and implementing a strategy for a big data governance and stewardship program, whether as part of an enterprise information management initiative or as a separate effort. The attendee will gain an understanding of the importance of data governance as part of a big data initiative, the role of stewardship in any governance program, the various types of data and metadata to be governed for big data management, and a plan for instituting a big data governance program within their organization.

7 Data Governance Guiding Principles

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Description

Many organizations are concerned about the volume of data they are managing, but have not started to apply the principles and processes of data governance and stewardship to those large data sets (“big data”). “Big data”, like any other data, needs proper governance and stewardship at an enterprise level so it can be used confidently and controlled appropriately. This seminar will offer a methodology for creating and implementing a strategy for a big data governance and stewardship program, whether as part of an enterprise information management initiative or as a separate effort.

The attendee will gain an understanding of the importance of data governance as part of a big data initiative, the role of stewardship in any governance program, the various types of data and metadata to be governed for big data management, and a plan for instituting a big data governance program within their organization. Each attendee will create a big data governance and stewardship strategy for their organization through workshops during the course. Through case studies and team interaction attendees will attain the real-world implementation skills necessary to build a successful strategy for big data governance and stewardship. In addition, it provides valuable insight into the components of a successful enterprise information management program that will inform any organization’s approach to big data management.

Objectives

  • The foundation of sharing data assets across entire organization – enterprise information management
  • Big data’s role as a component of enterprise information management
  • The concepts of “big data” – volume, variety, velocity, veracity
  • How to develop a big data governance strategy – components and rationale
  • Managing expanding information requirements through stewardship of big data
  • The importance of central data governance to an organization, especially for big data management
  • The importance of stewardship in big data quality, big data integrity, big data reuse
  • How to measure the value of enterprise information management for big data

Seminar Content

  • Introduction to information governance and stewardship
    • Enterprise Information Management (EIM) framework
    • Data governance overview
    • Data governance within the Enterprise Information Management
    • Big data overview – as part of EIM
    • Roles in data governance
    • Directions of data governance and stewardship
      1. Big data governance and stewardship
  • Understanding metadata within data governance and stewardship
    • Value of metadata for big data management
    • Defining metadata for big data
      1. Technical metadata
      2. Business metadata
    • Metadata as the key to knowledge management
  • How to implement a big data governance and stewardship strategy
    • Challenges of implementing a data governance and stewardship strategy for big data management
    • Components of a big data governance and stewardship strategy
    • Constructing the data governance and stewardship strategy scope document for big data management
    • Defining big data governance and stewardship requirements
    • Roles in data governance and stewardship management, focused on big data
    • Approaches to data governance and stewardship development, focused on big data
    • Creating the data governance and stewardship project plan
    • Big data governance and stewardship ROI definition
  • The data governance support organization
    • Importance of a data governance support team
    • Implementing data governance and stewardship support
    • Alignment of data governance and metadata strategy
    • The Data Governance Council and Data Stewardship teams – structures and responsibilities
  • Completing the data governance and stewardship strategy
    • Implementation issues, focused on big data
    • Successful strategy situations and results
  • Workshop conclusion
    • Summary, additional exercises, sources for further reading, etc.

About the Course Designer

This training was designed by David Marco, PhD, an internationally recognized authority on data and AI governance, to help teams succeed in real organizational conditions. The curriculum equips participants with practical judgment, shared language, and decision clarity that hold under scale, risk, and executive accountability.

David Marco PHD EWSolutions

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