BPMN for Analysts Training Course

Business analysis is the process of investigating, understanding, and defining business needs in order to develop solutions that meet those needs. It is a key element in the change management process within an organization and in the design of new business solutions. The goal of business analysis is to ensure that technological, process, or organizational solutions align with business goals and needs. It plays a crucial role in ensuring the success of projects and organizational changes by ensuring that implemented solutions are accurate, feasible, and fully meet business requirements.

This workshop is tailored for seasoned Business Analysts, Product Owners, and User Researchers aiming to master sophisticated techniques 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. Upon completion, attendees will possess a well-defined toolkit designed to amplify impact and achieve quantifiable results.

This course delves into the essential role of the business analyst in achieving success within Agile environments. Participants will learn how to effectively collaborate with the development team, Product Owner, Scrum Master, and customers to streamline the development process. The curriculum includes a simulated project where attendees can practice handling common scenarios encountered in Agile settings.

This instructor-led, live training in Norway (online or onsite) is designed for individuals at beginner, intermediate, or advanced levels 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 actual capabilities and limitations of GenAI models (e.g., hallucinations, context windows).
• Utilize AI as an advanced tool to support 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.
• Critically evaluate the quality and substantive correctness of AI-generated outputs.
• Acquire 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 assessing the link between the resources consumed and the results achieved.

This instructor-led, live training session (available online or on-site) is designed for intermediate-level professionals seeking 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 standards.
• Recognizing, categorizing, and quantifying pertinent costs and outcomes for different situations.
• Utilizing analytical frameworks to compare options through cost-effectiveness ratios.
• Evaluating uncertainty, verifying assumptions, and effectively communicating evaluation findings.

Course Structure

• Guided presentations enriched with real-world case studies.
• Practical exercises designed to strengthen analytical skills.
• Collaborative problem-solving within a facilitated workshop setting.

Customization Opportunities

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

This instructor-led, live training in Norway (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, 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. 

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

• Grasp the concept of strategic agility.
• Link strategy with operational activities.
• Identify areas requiring quality control.
• Apply basic quality assurance mechanisms.

Summary:

Business and systems analysts resolve organizational challenges by designing information systems that execute the strategic directives set by the business. These IT solutions typically aim to achieve one of several key objectives: implementing new business processes, enhancing the efficiency and productivity of existing workflows, or lowering the operating costs associated with current operations.

This course is designed for Business Analysts, particularly those aiming to prepare for IIBA certifications (CCBA or CBAP), and aligns with the framework established by the BABOK® Version 3.0.

Objectives:

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

Key Definitions:

BABOK® (Business Analysis Body of Knowledge) The standard guiding the practice of business analysis and serving as a framework that outlines the necessary tasks.

CCBA® (Certified of Competency in Business Analysis) A certification provided by the International Institute of Business Analysis (IIBA), requiring successful completion of a test based solely on the BABOK®, contingent upon the approval of an application grounded in education and experience.

CBAP® (Certified Business Analysis Professional) A certification provided by the International Institute of Business Analysis (IIBA), requiring successful completion of a test based solely on the BABOK®, contingent upon the approval of an application grounded in education and experience.

Insurtech (also known as Digital Insurance) represents the convergence of the insurance industry with new technologies. Within the Insurtech sector, "digital insurers" leverage technological innovations to transform their business and operating models, aiming to reduce costs, improve customer experiences, and increase operational agility.

This instructor-led training will help participants understand the technologies, methods, and mindsets required to drive digital transformation within their organizations and across the broader industry. The course is specifically designed for managers who need a comprehensive overview, want to cut through the hype and jargon, and are ready to take initial steps toward establishing an Insurtech strategy.

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

• Discuss Insurtech and its various components intelligently and systematically
• Identify and demystify the role of each key technology within Insurtech.
• Draft a general strategy for implementing Insurtech within their organization

Audience

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

Course Format

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

In this instructor-led, live training in Norway, participants will gain an understanding of the technologies, methods and mindset needed to implement a Fintech strategy.

This training is aimed at managers who need to gain a "big picture" understanding of Fintech, break down the hype and jargon, and take tangible first steps towards the adoption of new technologies applicable to financial business and services.

By the end 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 an action plan for introducing new technologies in step-by-step fashion.

Insurance in the Digital Era provides an applied perspective on 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 eager to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize insurance offerings and operations.

Upon completion 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 their impact on 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) is a pivotal discipline within the software and systems development sector, dedicated to 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 eager to deepen their practical grasp of Requirements Engineering while preparing for the IREB CPRE – Foundation Level certification exam.

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

• Grasp and apply the core concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identify and elicit requirements using effective, context-specific techniques.
• Model, document, and validate requirements for real-world projects.
• Manage requirements changes, traceability, and prioritization throughout the project lifecycle.
• Leverage 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.

Course Customization Options

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

Model-Based Development (MBD) is a software development approach that facilitates faster and more cost-efficient creation of dynamic systems, including control, signal processing, and communication systems. It shifts the focus from traditional text-based programming to graphical modeling.

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

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

• Select and effectively use the appropriate tools for implementing MBD.
• Apply MBD to enable rapid development during the early phases of an embedded software project.
• 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), is a methodology that leverages algorithms on event logs to analyze business processes. This approach extends beyond mere data storage and analysis; it connects data with operational processes, offering valuable 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 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 Norway (online or onsite) is designed for individuals who wish to understand requirements analysis and carry it out efficiently and accurately by applying analysis techniques to their projects.

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

• Identify different types of requirements.
• Understand the overall concepts and activities involved in requirements analysis.
• Gain familiarity with the requirements analysis methodology.
• Utilize various requirements analysis techniques to their advantage.
• Structure requirements to communicate effectively with architects and developers via an iterative requirement gathering process.

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