BPMN for Analysts Training Course

Business analysis is the process of studying, understanding, and defining business needs to develop solutions that meet those needs. It is a crucial element in the change management process within an organization and in designing new business solutions. The purpose of business analysis is to ensure that technological, procedural, or organizational solutions meet the business goals and needs. It plays a key role in ensuring the effectiveness of projects and changes in the organization by guaranteeing 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 methods that generate tangible business value. Through practical exercises and real-world tools, participants will learn to dissect complex data, streamline processes, engage key stakeholders, and convert strategic goals into actionable outcomes using OKRs. By the conclusion, attendees will possess a robust toolkit designed to maximize their influence and achieve measurable results.

This course is designed to equip business analysts with the skills needed to thrive on Agile projects. Participants will learn how to effectively collaborate with the development team, Product Owner, Scrum Master, and customers to streamline the development process. The training includes a simulated project where participants practice handling common scenarios.

This instructor-led, live training in Slovakia (online or onsite) targets beginner-level, intermediate-level, and advanced-level individuals who want 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) offers a systematic approach to comparing different options by assessing the link between the resources invested and the results achieved.

This instructor-led live training, available online or onsite, is designed for intermediate-level professionals who want to utilize cost-effectiveness methods to facilitate informed, rational, and evidence-based decision-making across various industries.

Upon completing this course, participants will be able to:

• Formulate cost-effectiveness inquiries and set evaluation criteria.
• Identify, categorize, and measure relevant costs and outcomes for different situations.
• Utilize analytical frameworks to compare options using cost-effectiveness ratios.
• Evaluate uncertainty, verify assumptions, and effectively communicate evaluation findings.

Course Structure

• Guided presentations complemented by real-world case studies.
• Practical exercises to strengthen analytical skills.
• Interactive problem-solving within a guided workshop setting.

Customization Options

• Tailored versions of this training can be provided upon request.

This instructor-led, live training in Slovakia (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.
• Connects strategy with operational activities.
• Identifies areas requiring quality control.
• Applies basic quality assurance mechanisms

Summary:

A business or systems analyst addresses organizational challenges by designing information systems that implement the strategies defined by the business. These IT solutions typically aim to achieve one of the following business objectives: establishing a new business process, enhancing the efficiency and productivity of current processes, or lowering the operational costs of existing procedures.

This course is designed for Business Analysts, including those who intend to prepare for an IIBA Certification (CCBA or CBAP), and aligns with the framework established by the BABOK® Version 3.0

Objectives:

• Identify the critical principles, activities, tasks, and techniques outlined in the BABOK® V3.0
• Understand the core knowledge areas, activities, tasks, deliverables, and their relationships:

Key Definitions:

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

CCBA® (Certified of Competency in Business Analysis) A certification offered through the International Institute of Business Analysis (IIBA) requiring passing a test based on the BABOK® only after application approval which is based on education and experience.

CBAP®(Certified Business Analysis Professional) A certification offered through the International Institute of Business Analysis (IIBA) requiring passing a test based on the BABOK® only after application approval which is 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 lower costs, enhance customer experiences, and increase operational agility.

This instructor-led training helps participants understand the technologies, methodologies, and mindset required to drive digital transformation within their organizations and across the wider industry. The course is designed for managers who need a comprehensive overview, wish to cut through hype and jargon, and are ready to take initial steps toward building an 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 in the Insurtech ecosystem
• Develop a general strategy for implementing Insurtech within their organization

Audience

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

Course Format

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

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

This course is designed for managers seeking a high-level grasp of the Fintech landscape, helping them cut through industry hype and jargon while taking concrete first steps toward adopting technologies relevant to financial businesses and services.

Upon completion of this training, participants will be able to

• Present viable Fintech strategies tailored to their organization.
• Understand and articulate the roles and functionalities of key technologies.
• Develop a step-by-step action plan for introducing new technologies.

Insurance in the Digital Era provides an applied overview of how digital transformation reshapes products, operations, and customer engagement in the insurance industry.

This instructor-led, live training (online or onsite) is aimed at intermediate-level insurance professionals who wish to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize 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 pivotal discipline in software and systems development, centered on identifying, documenting, and managing stakeholder needs and constraints to guarantee project success.

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

After completing this training, participants will be able to:

• Comprehend and apply the core concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identify and elicit requirements using effective and context-appropriate techniques.
• 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 enhance communication and project outcomes.
• Be fully prepared to take and pass the IREB CPRE – Foundation Level certification exam.

Format of the Course

• Interactive lecture and discussion.
• 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 on request.

Model-Based Development (MBD) is a software engineering approach that accelerates and reduces the cost of developing dynamic systems, including control systems, signal processing applications, and communication infrastructure. This methodology prioritizes graphical modeling over conventional text-based coding.

In this instructor-led live training, attendees will discover how to leverage MBD techniques to cut development expenses and speed up the market launch of embedded software solutions.

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

• Choose and implement appropriate tools for MBD implementation.
• Apply MBD to facilitate rapid development during the initial phases of embedded software projects.
• Reduce the time required to release embedded software to the market.

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice.

Process mining, also known as Automated Business Process Discovery (ABPD), employs algorithms on event logs to analyze business processes. It extends beyond mere data storage and analysis by linking data with processes, offering insights into the trends and patterns that influence process efficiency.

Course Format

• The course begins with an overview of the most widely used process mining techniques. We explore various process discovery algorithms and tools designed to discover and model processes from raw event data. Through real-life case studies, participants will analyze datasets using the ProM open-source framework.

This instructor-led live training in Slovakia (online or onsite) is designed for professionals seeking to understand requirements analysis and execute it efficiently and accurately using appropriate analysis techniques for their projects.

Upon completion of this training, participants will be capable of:

• Differentiating between various types of requirements.
• Comprehending the core concepts and activities associated with requirements analysis.
• Gaining familiarity with established requirements analysis methodologies.
• Leveraging diverse requirements analysis techniques for optimal results.
• Organizing requirements to facilitate efficient communication with architects and developers through an iterative gathering process.

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