Business Analysis Training Course

Business analysis is the process of investigating, understanding, and defining business needs to develop solutions that meet those needs. It is a key element in the organizational change management process and in designing new business solutions. Business analysis aims to ensure that technological, process, or organizational solutions fulfill their business goals and requirements. It plays a crucial role in ensuring the effectiveness of projects and changes within an organization by guaranteeing that implemented solutions are accurate, feasible, and fully aligned with business needs.

This workshop is tailored for seasoned Business Analysts, Product Owners, and User Researchers aiming to master advanced methodologies that generate tangible business value. Through practical exercises and real-world tools, participants will learn to analyze complex datasets, streamline processes, effectively engage stakeholders, and convert strategic goals into actionable outcomes using OKRs. Upon completion, attendees will possess a robust toolkit designed to amplify their impact and deliver quantifiable results.

This instructor-led, live training in Vietnam (available online or onsite) is tailored for professionals at beginner, intermediate, or advanced levels who aim to leverage generative AI tools to support the daily responsibilities of a business analyst, encompassing analysis, documentation, information organization, and stakeholder communication.

By the end of this training, participants will be able to:

• Understand the real capabilities and limitations of GenAI models (e.g., hallucinations, context windows).
• Be able to use AI as an advanced tool supporting thought and analytical processes.
• Learn how to create precise requirement structures and technical documents using AI.
• Accelerate conceptual work, from hypothesis generation to documentation drafting.
• Consciously evaluate the quality and substantive correctness of AI-generated outputs.
• Gain knowledge on the safe and ethical use of AI tools concerning corporate data.

This instructor-led, live training in Vietnam (online or onsite) is aimed at beginner, intermediate, and advanced individuals who wish to integrate Strategic Agility and Quality Assurance, ensuring that quality becomes a catalyst for strategy rather than a hurdle, and that agility is grounded in repeatable, high-quality processes.

In modern business, organizations often face a "Trade-off Paradox": the faster they try to adapt to market changes, the more their quality standards tend to slip. Conversely, rigid quality processes often slow down innovation.

Strategic Agility addresses the problem of organizational "inertia"—the inability to react to environmental volatility. Quality Assurance addresses the risks of "process decay" during rapid scaling or pivoting.

By the end of this training, participants will be able to:

• Understand the concept of strategic agility.
• Connect strategy with operational activities.
• Identify areas requiring quality control.
• Apply basic quality assurance mechanisms

This live, instructor-led course in Vietnam delves into practical Requirements Engineering principles, elicitation strategies, and documentation methods. It offers comprehensive exam preparation to assist participants in mastering the IREB CPRE syllabus and achieving Foundation Level certification.

This instructor-led, live training in Vietnam (online or onsite) is aimed at persons who wish to understand requirements analysis and conduct requirements analysis efficiently and accurately using analysis techniques for their projects.

By the end of this training, participants will be able to:

• identify different types of requirements.
• understand the overall concepts of, and activities within, requirements analysis.
• be familiar with the requirements analysis methodology.
• use different requirements analysis techniques to their advantage.
• structure requirements in order to communicate efficiently with architects and developers through an iterative requirement gathering process.