Applied Methods of Cost-Effectiveness Analysis Training Course

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

This workshop targets experienced Business Analysts, Product Owners, and User Researchers aiming to master advanced techniques that deliver tangible business value. Through practical exercises and essential tools, participants will develop the ability to analyze complex data, streamline processes, engage stakeholders effectively, and translate strategy into action using OKRs. By the conclusion of the course, attendees will possess a robust toolkit to enhance their impact and achieve measurable results.

This instructor-led live training in Argentina, delivered online or on-site, is tailored for professionals at beginner, intermediate, or advanced levels seeking to integrate generative AI tools into their daily business analyst responsibilities. This includes enhancing analysis, refining documentation, structuring information, and improving stakeholder communication.

Upon completion of this training, participants will be able to:

• Understand the genuine capabilities and limitations of GenAI models, such as hallucinations and context window constraints.
• Apply AI as an advanced tool to support critical thinking and analytical processes.
• Create precise requirement structures and technical documents using AI assistance.
• Accelerate conceptual work, from generating hypotheses to drafting documentation.
• Critically evaluate the quality and substantive correctness of AI-generated outputs.
• Acquire knowledge on the safe and ethical use of AI tools with respect to corporate data.

This instructor-led, live training in Argentina (online or onsite) targets beginner-level, intermediate-level, and advanced-level 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.

Practical training in Argentina designed to help insurance experts utilize AI, data, and InsurTech trends to modernize operations and customer engagement, leveraging workshops, case studies, and hands-on exercises to develop digital strategies for a rapidly changing industry.

This instructor-led live training in Argentina covers practical Requirements Engineering concepts, elicitation techniques, and documentation methods. It provides extensive exam preparation to help participants master the IREB CPRE syllabus and pass the Foundation Level certification.

This instructor-led, live training in Argentina (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.