Header - EWS 2021

Affiliated with:

EIM 201 – Implementing Enterprise Data Management through Effective Metadata Management

Duration: 3 – 4 days

This course will look to move enterprise data management theory into a practical set of steps (roadmap) to achieve true value from your enterprise data management initiative. Moreover, it will present the specific metadata inputs and outputs that are required for each of the most common enterprise data management focus areas. In addition, data governance and stewardship approaches and structures will be presented for each of these areas.

data management training 1600x

Free Consultation

"*" indicates required fields

This field is for validation purposes and should be left unchanged.
Name

Description

Almost every large government agency or Global 2000 company is struggling to properly manage their enterprise’s data and its architecture and management. This difficulty is the direct result of the highly distributed, disjointed, and overly expensive IT environments that currently exist throughout our industry. This situation has triggered the reemergence of corporations looking to establish truly proactive Enterprise Data Management organizations.

This course will look to move enterprise data management theory into a practical set of steps (roadmap) to achieve true value from your enterprise data management initiative. Moreover, it will present the specific metadata inputs and outputs that are required for each of the most common enterprise data management focus areas. In addition, data governance and stewardship approaches and structures will be presented for each of these areas.

Through case studies and team interaction, attendees will attain the real-world implementation skills necessary to build a program for their organization. Hands-on workshops throughout the course will reinforce the learning experience and provide the attendees with concrete results that can be used in their organizations.

Objectives

  • Provide an overview of enterprise data management and why it is important
  • Understand the components of enterprise data management and their similar processes and practices
  • Understand the roadmap to implementation for each component
  • Review case studies of enterprise data management 

Seminar Content

  • Enterprise data architecture defined
  • Enterprise data architecture ROI
  • Foundational components of enterprise data architecture
    • Metadata management
    • Data governance and stewardship
  • Focus areas of enterprise data architecture
    • Enterprise data model
      • Common objectives
      • Value to the organization
      • Roadmap for implementation
      • Metadata management inputs/outputs
      • Data governance & stewardship structure
    • Master data management
      • Common objectives
      • Value to the organization
      • Roadmap for implementation
      • Metadata management inputs/outputs
      • Data governance & stewardship structure
    • Data quality
      • Common objectives
      • Value to the organization
      • Roadmap for implementation
      • Metadata management inputs/outputs
      • Data governance & stewardship structure
    • IT Portfolio management
      • Common objectives
      • Value to the organization
      • Roadmap for implementation
      • Metadata management inputs/outputs
      • Data governance & stewardship structure
    • Enterprise data warehousing
      • Common objectives
      • Value to the organization
      • Roadmap for implementation
      • Metadata management inputs/outputs
      • Data governance & stewardship structure
  • Enterprise data architecture best practices
    • Enterprise data architecture real-world case studies
  • Role of people, process and technology in enterprise data architecture
  • 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

Featured Courses

DW 102 – Data Warehousing 101 – IT Professionals

This course is presented in a straightforward manner and assumes that attendees have no prior knowledge of decision support concepts...

DGS 301 – Data Stewardship Training

This intensive course will provide an introduction to data governance, its purpose, and how it can be implemented. The attendees...