BPMN for Analysts Training Course

Business analysis is the process of researching, 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 goal of business analysis is to ensure that technological, process, or organizational solutions meet business goals and needs. It is a key 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 methods that generate tangible business value. Through practical exercises and functional tools, participants will learn to dissect complex data, streamline processes, interact with stakeholders, and convert strategy into action via OKRs. By the conclusion, attendees will possess a definitive toolkit to enhance their impact and deliver measurable outcomes.

This course centers on the business analyst's role to ensure 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 simulated project where participants practice handling common scenarios.

This instructor-led, live training in Sweden (online or onsite) is designed for beginner, intermediate, and advanced participants who wish to use generative AI tools to support the daily tasks of a business analyst, including analysis, documentation, information structuring, and stakeholder communication.

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

• Comprehend the actual capabilities and limitations of GenAI models, such as hallucinations and context window constraints.
• Utilize AI as an advanced tool to augment thought processes and analytical reasoning.
• Create precise requirement structures and technical documentation using AI assistance.
• Expedite conceptual work, ranging from hypothesis generation to drafting documentation.
• Critically assess the quality and substantive accuracy of outputs generated by AI.
• Acquire knowledge regarding the secure and ethical use of AI tools in handling corporate data

Cost-effectiveness analysis (CEA) serves as a systematic approach for evaluating different options by assessing the link between resources invested and the results obtained.

This guided, live training session—available either online or at your location—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 capable of:

• Formulating cost-effectiveness inquiries and setting evaluation benchmarks.
• Recognizing, categorizing, and quantifying pertinent costs and outcomes for different situations.
• Utilizing analytical frameworks to evaluate alternatives through cost-effectiveness ratios.
• Evaluating uncertainty, confirming assumptions, and clearly conveying evaluation findings.

Course Structure

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

Customization Options

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

This instructor-led, live training in Sweden (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, organisations 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 organisational "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:

A business or systems analyst addresses organizational challenges by creating information systems that align with and execute the strategic objectives defined by the business. These IT solutions typically aim to achieve one of the following outcomes: implementing new business processes, enhancing the efficiency and productivity of existing operations, or lowering the operating costs associated with current processes.

This course is designed for Business Analysts, particularly those seeking to prepare for IIBA Certification (CCBA or CBAP), and 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
• Understand the core knowledge areas, including their respective activities, tasks, deliverables, and interrelationships:

Key Definitions:

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

CCBA® (Certified of Competency in Business Analysis) A certification provided by the International Institute of Business Analysis (IIBA), which requires passing an exam based solely on the BABOK® after application approval, contingent upon specific educational and experiential criteria.

CBAP® (Certified Business Analysis Professional) A certification provided by the International Institute of Business Analysis (IIBA), which requires passing an exam based solely on the BABOK® after application approval, contingent upon specific educational and experiential criteria.

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

Through this instructor-led training, participants will gain a comprehensive understanding of the technologies, methodologies, and mindset required to drive digital transformation within their organizations and across the broader industry. The course is designed for managers who seek a holistic understanding of the field, wish to cut through the hype and jargon, and are ready to take initial steps toward establishing a robust Insurtech strategy.

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

• Discuss Insurtech and its various components with intelligence and systematic clarity
• Identify and demystify the role of each key technology within the Insurtech ecosystem
• Draft a general strategy for implementing Insurtech initiatives within their organization

Audience

• Insurance professionals
• Technologists within the insurance industry
• Insurance stakeholders
• Consultants and business analysts

Format of the course

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

In this instructor-led live training in Sweden, participants will develop a comprehensive understanding of the technologies, methodologies, and mindset required to implement an effective FinTech strategy.

This course is designed for managers who seek a high-level grasp of FinTech, aiming to cut through the hype and technical jargon to take concrete initial steps toward adopting new technologies relevant to financial businesses and services.

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

• Present viable FinTech strategies for their organization.
• Understand and explain the role and functionality of key technologies.
• Draft a step-by-step action plan for introducing new technologies.

Insurance in the Digital Era provides an applied 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 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) stands as a critical discipline within software and systems development, dedicated to identifying, documenting, and managing stakeholder needs and constraints to guarantee project success.

This instructor-led, live training session (available online or onsite) targets intermediate-level professionals looking 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, context-sensitive techniques.
• Model, document, and validate requirements for real-world projects.
• Manage requirements changes, traceability, and prioritization throughout the entire project lifecycle.
• Utilize Requirements Engineering tools and best practices to improve communication and project outcomes.
• Be fully equipped to take and pass the IREB CPRE – Foundation Level certification exam.

Course Format

• Interactive lectures and group discussions.
• Case-based exercises and collaborative workshops.
• Dedicated 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 approach that facilitates faster and more cost-efficient creation of dynamic systems, including control systems, signal processing, and communication systems. It depends on visual modeling instead of conventional text-based programming.

In this instructor-led live training, participants will learn how to apply MBD methodologies to cut development expenses and speed up the time to market for their embedded software products.

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

• Choose and use appropriate tools for implementing MBD.
• Apply MBD to accelerate development during the early phases of an embedded software project.
• Reduce the time required to release embedded software to the market.

Course Format

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

Process mining, also known as Automated Business Process Discovery (ABPD), is a methodology that utilizes algorithms on event logs to examine business operations. This approach extends beyond simple data storage and analysis; it connects data with operational processes, offering valuable insights into the trends and patterns influencing process efficiency.

Course Format

• The course begins with an introduction to the most widely used techniques in process mining. We explore various process discovery algorithms and tools designed to identify and model processes from raw event data. Real-world case studies are reviewed, and datasets are analyzed using the ProM open-source framework.

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

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

• identify various types of requirements.
• understand the core concepts and activities involved in requirements analysis.
• familiarize themselves with the requirements analysis methodology.
• apply different requirements analysis techniques to their advantage.
• structure requirements to enable efficient communication with architects and developers through an iterative requirement gathering process.

This course provides a practical introduction to the core principles and real-world applications of software engineering, requirements engineering, and testing.