Improving Business-to-Technology Alignment: Enterprise Architecture Governance

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About Course

Business-to-technology alignment becomes difficult when business, data, and application architecture develop in separate conversations.

This course, Improving Business-to-Technology Alignment: Enterprise Architecture Governance, helps data governance professionals and data stewards understand where enterprise architecture decisions affect data meaning, ownership, lineage, quality, applications, and business change.

The course explains how business, data, and application architecture connect, and where governance participation adds value. It supports professionals who want to contribute more confidently to architecture-related discussions without having to become enterprise architects.

What Will You Learn?

  • Understand how enterprise architecture supports business-to-technology alignment.
  • Distinguish business architecture from information systems architecture.
  • Recognize how industry definitions shape governance scope.
  • See how business architecture supports scoping for data initiatives.
  • Understand how structured data connects with application design.
  • Identify where data governance professionals contribute to architecture governance.

Course Content

Introducing Enterprise Architecture
In this topic, we start by clarifying what enterprise architecture means and why its definitions matter for data governance and data stewardship work. You will see how business, data, application, and technology architecture relate to each other, and why different frameworks sometimes use these terms differently. This topic helps you build a shared language before moving into governance design. With this foundation, architecture conversations become easier to follow, question, and connect with data governance responsibilities.

  • Aligning Industry Definitions.
    12:07
  • Conceptual Understanding
  • Analytical Thinking

Governing Business Architecture
Business architecture helps organizations see which capabilities, domains, processes, ownership structures, and business information concepts support business change. In this topic, we explore why data governance professionals and data stewards need this business view before data and application decisions become too fragmented. The topic explains how business architecture governance creates a stronger reference point for scoping initiatives, clarifying accountability, and connecting business meaning with data work. It helps you recognize where your governance contribution fits into architecture-related discussions.

Governing Data and Application (Information Systems) Architecture
Governance of information systems architecture explains how organizations manage structured data together with the applications that process it. The content follows the capability design logic from purpose and outcomes to processes and supporting enablers. Participants see what this governance capability must deliver during design and change. Data governance professionals need it because they contribute business meaning and stewardship knowledge while architecture work takes shape.

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