BPMN for Analysts Training Course

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

This workshop is tailored for seasoned 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 learn to interpret complex data, streamline processes, engage stakeholders effectively, and convert strategic goals into actionable outcomes using OKRs. By the conclusion, attendees will possess a robust toolkit designed to enhance their impact and achieve measurable results.

This course examines the critical responsibilities of a business analyst in ensuring success within Agile project environments. Participants will acquire the skills necessary to collaborate effectively with the development team, Product Owner, Scrum Master, and customers to streamline the development workflow. Through a simulated project experience, attendees will practice handling typical Agile scenarios.

This instructor-led, live training in Czech Republic (online or onsite) is designed for beginner, intermediate, and advanced individuals who wish to leverage generative AI tools to enhance 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 different options by assessing the balance between the resources invested and the results obtained.

This guided, live training session (available online or at your location) targets intermediate-level professionals looking to utilize cost-effectiveness techniques to foster informed, logical, and evidence-driven decision-making across various industries.

Upon completing this course, participants will be equipped to:

• Formulate cost-effectiveness inquiries and set evaluation standards.
• Locate, categorize, and measure the pertinent costs and outcomes for various situations.
• Utilize analytical models to compare alternatives through cost-effectiveness ratios.
• Evaluate uncertainty, verify assumptions, and effectively communicate the findings of the evaluation.

Course Format

• Guided presentations enriched with practical, real-world case studies.
• Hands-on exercises designed to strengthen analytical skills.
• Collaborative problem-solving within a structured workshop setting.

Customization Options

• Tailored versions of this training program can be arranged upon request.

This instructor-led, live training in Czech Republic (online or onsite) is aimed at beginner-level / intermediate-level / 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 address business challenges by designing information systems that execute the strategies defined by the organization. These IT solutions typically aim to achieve one of the following objectives: implementing a new business process, enhancing the efficiency and productivity of existing processes, or reducing the operational costs of current processes.

This course is designed for Business Analysts, including those planning to prepare for an IIBA certification (CCBA or CBAP). The curriculum aligns with the framework established by the BABOK® Version 3.0.

Objectives:

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

Key Definitions:

BABOK® (Business Analysis Body of Knowledge) serves as the standard for the practice of business analysis and acts as a framework describing the tasks that must be performed.

CCBA® (Certified of Competency in Business Analysis) is a certification offered by the International Institute of Business Analysis (IIBA). It requires passing a test based exclusively on the BABOK®, following application approval based on education and experience.

CBAP® (Certified Business Analysis Professional) is a certification offered by the International Institute of Business Analysis (IIBA). It requires passing a test based exclusively on the BABOK®, following application approval based on education and experience.

Insurtech (also known as Digital Insurance) represents the intersection of insurance and emerging technologies. Within the Insurtech landscape, "digital insurers" leverage technological innovations to transform their business and operational models, aiming to reduce costs, elevate the customer experience, and increase operational agility.

Through this instructor-led training, participants will develop a solid understanding of the technologies, methodologies, and mindset required to drive digital transformation within their organizations and across the industry. This training is specifically designed for managers who need to grasp the broader strategic context, cut through the hype and jargon, and take the initial steps toward establishing a robust Insurtech strategy.

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

• Discuss Insurtech and its various components with intelligence and systematic clarity
• Identify and clarify the role of each key technology within the Insurtech ecosystem.
• Develop a general strategy for implementing Insurtech solutions within their organization

Audience

• Insurance professionals
• Technology experts within the insurance industry
• Key insurance stakeholders
• Consultants and business analysts

Course Format

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

In this instructor-led live training in Czech Republic, participants will develop a solid grasp of the technologies, methodologies, and mindset required to successfully implement a Fintech strategy.

This course is designed for managers who need a "big picture" understanding of Fintech, aiming to cut through the hype and jargon while taking concrete first steps toward adopting new technologies relevant to financial businesses and services.

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

• Propose viable Fintech strategies for their organization.
• Understand and articulate the role and functionality of key technologies.
• Draft an action plan for introducing new technologies in a step-by-step manner.

Insurance in the Digital Era provides a practical look at how digital transformation is reshaping products, operations, and customer engagement within the insurance sector.

This instructor-led, live training (available online or onsite) targets intermediate-level insurance professionals who want to understand and implement 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) serves as a critical 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 online or onsite, targets intermediate-level professionals aiming to enhance their grasp of practical Requirements Engineering while preparing for the IREB CPRE – Foundation Level certification exam.

After completing this training, participants will be equipped to:

• Grasp and apply the core concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identify and elicit requirements using effective techniques suited to the specific context.
• Model, document, and validate requirements for real-world projects.
• Manage requirements changes, traceability, and prioritization throughout the project lifecycle.
• Utilize Requirements Engineering tools and best practices to improve communication and project outcomes.
• Feel fully prepared to take and pass the IREB CPRE – Foundation Level certification exam.

Course Format

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

Customization Options

• Additional modules or industry-specific case studies can be included 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), employs algorithms on event logs to analyze business processes. This approach extends beyond mere data storage and analysis, serving as a bridge between data and processes. It delivers valuable insights into the trends and patterns that influence process efficiency.

Course Format

• The course begins with an overview of the most frequently used process mining techniques. We will explore various process discovery algorithms and tools designed for uncovering and modeling processes from raw event data. Real-world case studies will be examined, and datasets will be analyzed using the ProM open-source framework.

This instructor-led, live training in Czech Republic (online or onsite) is designed for individuals who wish to understand requirements analysis and execute it efficiently and accurately by utilizing analysis techniques for their projects.

Upon completing this training, participants will be able to:

• recognize various types of requirements.
• comprehend the overarching concepts and activities involved in requirements analysis.
• gain familiarity with the requirements analysis methodology.
• leverage diverse requirements analysis techniques for optimal results.
• organize requirements to facilitate efficient communication with architects and developers through an iterative requirement gathering process.

Through practical, hands-on exercises, this course illustrates the core principles and real-world applications of software engineering, requirements engineering, and testing.