Course
Digicomp Code DIGIEA
Digital Enterprise Architecture («DIGIEA»)
Course facts
- Understanding the purpose, tasks, and responsibilities of enterprise architecture
- Gaining insight into the transformation of products, capabilities, and processes into digital structures
- Gaining clarity about the benefits, applications, and challenges of modeling
- Analyzing business needs and translating them into technology requirements
- Assessing the potential applications of Agentic AI based on a capability framework
- Developing the competence to design and further develop an initial digital enterprise architecture
- Evaluating modern enterprise technologies in terms of benefits, risks, and readiness for deployment
Day 1: Fundamentals
- What is modeling and what needs to be considered?
- What is architecture and what tasks are associated with it?
- Important enterprise architecture frameworks (Zachman, TOGAF, RAMI, MDEE, arc42, and more)
- Important technologies (cloud computing, digitalization, artificial intelligence, agentic AI, security, and more)
Day 2: Business Architecture
- Strategy development and modeling
- Enterprise terminology
- Capabilities and resources
- Processes, rules, and responsibilities
- Use of AI to support and automate business
Day 3: Technology Architecture
- Goals, requirements, and testing
- Data protection and risk analysis
- IT anatomy, SOA, EDA, ESB, and CMDB
- Visualizations and EAM tools
- Business transformation and EAM governance
- Use of AI (simulation, low-code/no-code, vibe coding)
Component of the following courses
Teaching of theoretical concepts and techniques, practical group exercises based on a continuous case study, and technical demonstrations
This course is aimed at individuals who want to leverage the opportunities offered by digitalization for parts of a company or even entire companies, aspiring enterprise architects, business engineers, and business analysts, program/portfolio managers, IT project managers, and solution architects.
Several years of practical experience in the field of business analysis and/or IT development are required. In particular, it is helpful to:
- be aware of the challenges at the interface between business and IT organizations
- be aware that different technologies have their advantages, but also their limitations
- have created initial models for describing business or IT aspects
We recommend attending the following courses, but they are not a mandatory requirement:
Access to a chatbot such as ChatGPT, Claude, Gemini, Grok, Perplexity, CoPilot, or similar is recommended.