BPMN for Analysts Training Course

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

Designed for seasoned Business Analysts, Product Owners, and User Researchers, this workshop focuses on mastering advanced techniques that generate tangible business value. Through practical exercises and essential tools, participants will learn to analyze intricate data, streamline processes, engage stakeholders effectively, and translate strategic goals into action using OKRs. By the conclusion, attendees will possess a robust toolkit to enhance their impact and deliver measurable outcomes.

This course emphasizes the business analyst's role in ensuring success within Agile projects. Participants will learn how to collaborate effectively with the Team, Product Owner, Scrum Master, and Customer to streamline the development process. The curriculum includes a mock project where participants practice handling common scenarios.

This instructor-led, live training in Taiwan (online or onsite) targets beginner, intermediate, and advanced professionals who wish to use generative AI tools to support the daily work of a business analyst, including analysis, documentation, information structuring, 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

Cost-effectiveness analysis (CEA) serves as a systematic approach for evaluating alternatives by examining the link between resources invested and the outcomes attained.

This instructor-led live training, available either online or on-site, targets intermediate-level practitioners who want to utilize cost-effectiveness methodologies to facilitate informed, rational, and evidence-based decision-making across diverse sectors.

Upon completing this course, participants will be able to:

• Formulate cost-effectiveness questions and establish evaluation criteria.
• Identify, classify, and quantify pertinent costs and outcomes for various scenarios.
• Utilize analytical frameworks to compare alternatives through cost-effectiveness ratios.
• Evaluate uncertainty, validate assumptions, and effectively communicate evaluation findings.

Course Format

• Facilitated presentations complemented by real-world examples.
• Hands-on exercises designed to reinforce analytical techniques.
• Interactive problem-solving within a guided workshop setting.

Course Customization Options

• Tailored versions of this training are available upon request.

This instructor-led, live training in Taiwan (online or onsite) is aimed at 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.

Summary:

Business and systems analysts resolve organizational challenges by crafting information systems that operationalize the strategies established by the business. These IT solutions typically aim to achieve one of three primary objectives: implementing a new business process, enhancing the efficiency and productivity of current processes, or reducing the operational costs of existing workflows.

This course is designed for Business Analysts, particularly those aspiring to pursue IIBA Certification (CCBA or CBAP). The curriculum aligns with the framework detailed in BABOK® Version 3.0.

Objectives:

• Identify the essential principles, activities, tasks, and techniques outlined in BABOK® V3.0.
• Comprehend the core knowledge areas, including their activities, tasks, deliverables, and interrelationships.

Key Definitions:

BABOK® (Business Analysis Body of Knowledge) Standard: The definitive guide for the practice of business analysis, serving as a framework that describes the tasks that must be performed.

CCBA® (Certified of Competency in Business Analysis): A certification provided by the International Institute of Business Analysis (IIBA). Candidates must pass a test based solely on BABOK® after their application, which evaluates education and experience, has been approved.

CBAP® (Certified Business Analysis Professional): A certification offered by the International Institute of Business Analysis (IIBA). Similar to CCBA, this requires passing a BABOK®-based exam following the approval of an application that assesses the candidate's education and professional experience.

Insurtech, also known as Digital Insurance, represents the integration of insurance services with emerging technologies. Within this domain, "digital insurers" leverage technological innovations to reshape their business and operational models, aiming to reduce costs, enhance customer experiences, and increase operational agility.

Through this instructor-led training, participants will develop a comprehensive understanding of the technologies, methodologies, and mindsets required to drive digital transformation within their organizations and across the broader industry. This course is designed for managers who seek a holistic overview, wish to cut through industry hype and jargon, and need guidance on taking initial steps toward formulating an Insurtech strategy.

Upon completing this training, participants will be equipped to:

• Discuss Insurtech and its various components with clarity and systematic insight
• Identify and demystify the role of each critical technology within the Insurtech ecosystem
• Develop a general strategy for implementing Insurtech solutions within their organization

Target Audience

• Insurance professionals
• Technologists working within the insurance sector
• Key stakeholders in the insurance industry
• Consultants and business analysts

Course Format

• A blend of lectures, discussions, exercises, and case-study-based group activities

In this instructor-led live training in Taiwan, participants will develop a comprehensive understanding of the technologies, methodologies, and mindset required to execute a Fintech strategy.

This training is designed for managers who need to grasp the "big picture" of Fintech, cut through the hype and jargon, and take concrete first steps toward adopting new technologies applicable to financial businesses and services.

Upon completion of this training, participants will be able to

• Present feasible Fintech strategies for their organization.
• Understand and articulate the role and functionality of key technologies.
• Develop a step-by-step action plan for introducing new technologies.

Insurance in the Digital Era provides a practical overview of how digital transformation is reshaping products, operations, and customer engagement within the insurance industry.

This instructor-led live training, available online or onsite, is designed for intermediate-level insurance professionals who want to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize their insurance offerings and operations.

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

• Explain the role of AI, Big Data, IoT, and automation in modern insurance workflows.
• Identify InsurTech trends and how they affect the insurance ecosystem.
• Design customer-centric strategies enabled by digital tools and data insights.
• Apply data-driven approaches to risk management and decision making.
• Develop an innovation and change management approach suitable for insurers.
• Assess real-world case studies and translate lessons into local initiatives.

Format of the Course

• Interactive lecture and discussion.
• Case study analysis and group workshops.
• Practical exercises and action planning for participants’ organizations.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Requirements Engineering (RE) stands as a cornerstone discipline in software and systems development, concentrating on the identification, documentation, and management of stakeholder needs and constraints to guarantee project success.

This instructor-led live training, available either online or onsite, targets intermediate-level professionals eager to deepen their grasp of practical Requirements Engineering while preparing for the IREB CPRE – Foundation Level certification exam.

Upon completing this training, participants will be capable of:

• Understanding and applying the core concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identifying and eliciting requirements using effective, context-appropriate techniques.
• Modeling, documenting, and validating requirements for real-world projects.
• Managing requirements changes, traceability, and prioritization throughout the project lifecycle.
• Utilizing Requirements Engineering tools and best practices to improve communication and project outcomes.
• Fully preparing to take and pass the IREB CPRE – Foundation Level certification exam.

Course Format

• Interactive lectures and discussions.
• Case-based exercises and collaborative workshops.
• Exam preparation sessions and practice questions.

Course Customization Options

• Additional modules or industry-specific case studies can be added upon request.

Model-Based Development (MBD) is a software development methodology that enables faster, more cost-effective development of dynamic systems such as control systems, signal processing, and communication systems. It relies on graphic modeling rather than the traditional text-based programming.

In this instructor-led, live training, participants will learn how to apply MBD methodologies to reduce development costs and accelerate the time to market of their embedded software products.

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

• Select and utilize the right tools for implementing MBD.
• Use MBD to carry out rapid development in the early stages of their embedded software project.
• Shorten the release of their embedded software into the market.

Format of the course

• Part lecture, part discussion, exercises, and heavy hands-on practice

Process mining, also known as Automated Business Process Discovery (ABPD), is a methodology that employs algorithms to analyze event logs, thereby facilitating the examination of business processes. This approach transcends mere data storage and analysis by linking data with operational processes, offering valuable insights into the trends and patterns that influence efficiency.

Course Format

• The course begins with an overview of the most prevalent process mining techniques. We will explore various algorithms and tools utilized for discovering and modeling processes from raw event data. Additionally, we will examine real-world case studies and analyze datasets using the ProM open-source framework.

This instructor-led, live training in Taiwan (online or on-site) is designed for individuals who wish to understand requirements analysis and execute it 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 overarching concepts and activities within requirements analysis.
• Become familiar with the requirements analysis methodology.
• Utilize various requirements analysis techniques to their benefit.
• Structure requirements to communicate effectively with architects and developers through an iterative requirement gathering process.

This course illustrates the core principles and practical applications of software engineering, requirements engineering, and testing through hands-on exercises.