Business Analysis - Practice
Organisations are under growing pressure to decide faster, with better data, and in a more structured way. This course bridges analytical thinking and real-world application – combining proven methods with current approaches from AI-supported decision-making and process improvement.
Key topics
- Applying analytical tools with precision – from SWOT to PESTLE.
- Capturing processes and requirements using established modelling techniques.
- Coordinating and engaging stakeholders effectively.
- Leveraging AI, data, and automation to validate requirements.
- Securing outcomes through clear documentation and a business value focus.
Prerequisite
Some exposure to analysis or project work is helpful but not required.
Target group
Professionals in specialist or IT roles working in analysis, process management, product development, or digitalisation.
Two days to sharpen analytical skills – and take modern methods straight into everyday practice.
- Getting acquainted and aligning expectations.
- Course structure and learning objectives.
- Training schedule and agenda.
- Introduction to the practice of business analysis.
- Examination details and format.
- Certification scheme for business analysis.
- The business analyst’s role across the phases of the business change lifecycle.
- Scope and range of the BA role within analysis activities.
- Three areas of professional competence.
- Applying strategic analysis techniques in practice:
- MOST
- Resource audit
- PESTLE
- Porter’s five forces
- SWOT analysis
- CSF, KPI, and performance targets
- Balanced scorecard
- Identifying stakeholder categories.
- Selecting appropriate investigation techniques.
- The case for a holistic view of the organisation.
- Rich pictures, mind maps, and fishbone diagrams.
- Applying the power/interest matrix.
- Developing appropriate stakeholder management strategies.
- Stakeholder perspectives and the CATWOE technique.
- Conceptual models of a business situation.
- Five types of high-level activities.
- Planning activities.
- Enabling activities.
- Executing activities.
- Monitoring and control activities.
- Three types of business events.
- The consensus model for business activities.
- Categories of business rules.
- Gap analysis using the conceptual business model and current situation.
- Components of a new business model.
- Reasons for developing a business case.
- Contents and structure of a business case.
- Identifying tangible and intangible costs, benefits, risks, and impacts.
- Financial justification and valuation techniques.
- Reviewing the business case within the change lifecycle.
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
- In practice, business analysis means analysing and purposefully improving business processes – bridging the gap between specialist departments and IT, with a clear focus on benefit and efficiency.
- Business analysts gather requirements, conduct interviews, model processes, support change initiatives, and ensure technical solutions align with organisational goals.
- Theory alone is not enough. Real projects, genuine stakeholders, and complex situations call for methodical, communicative, and solution-oriented action – skills that only practice can build.
- Key methods include SWOT, use cases, BPMN, interviews, and workshops. Common tools include Jira, Confluence, Excel, and modelling software such as Signavio or Bizagi.
- Well suited to anyone mediating between business units and IT – including project managers, process and product managers, and those with a strong interest in structured analysis.
- Experience in a project environment, analytical thinking, and an interest in processes are helpful – technical prior knowledge is not essential. Curiosity and structured thinking matter more.
- Training builds analytical thinking, communication, and methodical working – opening doors to roles with greater responsibility in digitally driven work environments.