ADM – Key Features
- ADM is a clear, step-by-step guide for creating Enterprise Architecture.
- It uses several repeatable phases to build the architecture.
- TOGAF provides detailed instructions, goals, steps, and results for each phase.
- The phases are repeated to allow the architecture to grow and improve gradually.
- ADM connects with different areas like frameworks, content, transitions, and governance.
ADM Phases with Examples
- Preliminary Phase: This phase is about getting ready to start the architecture work. It includes setting up the tools, customizing the TOGAF framework, and defining key principles that will guide the architecture.
- Example: A company decides to adopt TOGAF for structuring their IT projects. They begin by customizing the TOGAF framework to fit their specific needs and setting principles like “security-first” or “customer-centric.”
- Phase A: Architecture Vision: This is the first step in developing the architecture. It focuses on defining the project’s scope, identifying stakeholders, creating a clear vision of the architecture, and getting the necessary approvals.
- Example: Before starting a new software project, the team defines what the final product should achieve and who needs to be involved. They get approval to move forward based on this vision.
- Phase B: Business Architecture: This phase involves creating a Business Architecture that supports the Architecture Vision. It defines how the business operates and how it will support the vision.
- Example: A retail company designs its business processes to better support online shopping, aligning with their vision of becoming a leader in e-commerce.
- Phase C: Information Systems Architectures: This phase focuses on developing Data and Application Architectures that support the business goals defined in the previous phases.
- Example: The IT team designs a database structure and selects applications that support the company’s new e-commerce platform.
- Phase D: Technology Architecture: This phase involves creating the Technology Architecture, which includes the hardware, software, and network infrastructure needed to support the project.
- Example: The company decides on the cloud services, servers, and network configurations required to run their e-commerce platform.
- Phase E: Opportunities and Solutions: In this phase, major projects are identified, and they are grouped into work packages that will help achieve the Target Architecture.
- Example: The team identifies the need for a new CRM system and a website redesign, bundling them into one major project to support the e-commerce platform.
- Phase F: Migration Planning: This phase is about creating a detailed plan to move from the current (Baseline) architecture to the desired (Target) architecture.
- Example: The company creates a step-by-step plan for migrating its existing customer data to the new CRM system without disrupting operations.
- Phase G: Implementation Governance: This phase provides oversight during the implementation to ensure the architecture is built according to the plan.
- Example: As the CRM system is being implemented, the governance team checks regularly to ensure everything aligns with the architecture plan.
- Phase H: Architecture Change Management: This phase focuses on managing any changes needed in the architecture after it’s implemented.
- Example: After the CRM system is in use, the team manages updates or changes to ensure it continues to meet business needs.
- Requirements Management: Throughout all these phases, this process ensures that the requirements for the architecture are properly managed and met.
- Example: If a new regulatory requirement arises during the project, it is integrated into the architecture plan to ensure compliance.
You might be Interested in Reading of:
- TOGAF – Components
- CDO – Chief Data Officer
- Data Strategy, Data Architecture, Data Model
- NoSQL Graph Database
- Data Governance Program – Success Criteria
- Big Data Characterized in terms of V’s
- OLAP – ROLAP, MOLAP and HOLAP
- Data Governance Program – Scope
- Data Science – Process and Iterative Phases
- Reference and Master Data – A Glance
