Process Mining Training Course

Business Analysis is the process of examining, understanding, and defining business needs to develop solutions that meet those needs. It is a key element in the process of managing organizational changes and designing new business solutions. Business analysis ensures that technological, process-related, or organizational solutions meet business goals and needs. It is crucial for the effectiveness of projects and organizational changes by ensuring that the introduced solutions are appropriate, feasible, and fully aligned with business requirements.

This workshop is designed for experienced Business Analysts, Product Owners, and User Researchers who want to master advanced techniques that drive real business value. Through hands-on exercises and practical tools, participants will learn to analyze complex data, optimize processes, engage stakeholders, and translate strategy into action using OKRs. By the end, they’ll have a clear toolkit to boost impact and deliver measurable results.

This course is designed to equip business analysts with the skills needed to excel in Agile projects. Participants will learn how to effectively collaborate with the Team, Product Owner, Scrum Master, and Customers to streamline the development process. The course includes a simulated project where participants can practice common scenarios.

This instructor-led, live training in Norway (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level individuals 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) is a structured approach for comparing different options by evaluating the relationship between resources utilized and outcomes achieved.

This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals who wish to apply cost-effectiveness methods to support informed, rational, and evidence-based decision-making across various sectors.

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

• Formulate cost-effectiveness questions and set evaluation criteria.
• Identify, categorize, and quantify relevant costs and outcomes for different scenarios.
• Utilize analytical frameworks to compare alternatives using cost-effectiveness ratios.
• Evaluate uncertainty, validate assumptions, and communicate evaluation results clearly.

Format of the Course

• Guided presentations supported by real-world examples.
• Practical exercises to reinforce analytical techniques.
• Interactive problem-solving in a guided workshop setting.

Course Customization Options

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

This instructor-led, live training in Norway (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 business challenges by designing information systems that align with the strategic goals set by the organization. These IT solutions typically aim to achieve one of the following objectives for the business: implementing a new business process, enhancing the efficiency and productivity of existing processes, or reducing the operating costs of current procedures.

This course is designed for Business Analysts, including those who may be interested in preparing for an IIBA Certification (CCBA or CBAP), and it aligns with the framework outlined in the BABOK® Version 3.0.

Objectives:

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

Key Definitions:

BABOK® (Business Analysis Body of Knowledge) is a standard for the practice of business analysis, serving as a framework that outlines the necessary tasks to be performed.

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

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

This course will guide you through:

• Executing essential business analyst tasks by utilizing a robust business analysis framework
• Conducting a thorough business needs analysis to gather stakeholder requirements
• Applying business analysis methods to pinpoint critical issues and potential opportunities within your organization
• Developing effective requirement and communication strategies
• Analysing and defining requirements in line with industry best practices
• Overseeing solution assessment and validation processes

Insurtech, also known as Digital Insurance, represents the integration of insurance with cutting-edge technologies. In this field, "digital insurers" leverage technological innovations to optimize their business and operational models, aiming to reduce costs, enhance customer experiences, and increase operational agility.

This instructor-led training is designed to provide participants with a comprehensive understanding of the technologies, methods, and mindset required for digital transformation within their organizations and across the industry. The course is specifically targeted at managers who need to grasp the broader picture, demystify the hype and technical jargon, and take initial steps in formulating an Insurtech strategy.

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

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

Audience

• Insurers
• Technologists in the insurance sector
• Insurance stakeholders
• Consultants and business analysts

Format of the course

• A combination of lectures, discussions, exercises, and group activities based on case studies.

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 overview of how digital transformation is reshaping products, operations, and customer engagement within the insurance industry.

This instructor-led, live training (available online or on-site) is designed for intermediate-level insurance professionals who wish to understand and implement 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 how AI, Big Data, IoT, and automation are transforming modern insurance workflows.
• Identify key InsurTech trends and their impact on the insurance ecosystem.
• Develop customer-centric strategies using digital tools and data insights.
• Apply data-driven approaches to risk management and decision-making.
• Formulate an innovation and change management approach tailored for insurers.
• Analyze real-world case studies and apply the lessons learned to local initiatives.

Format of the Course

• Interactive lectures and discussions.
• Case study analysis and group workshops.
• Practical exercises and action planning for participants' organizations.

Course Customization Options

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

Requirements Engineering (RE) is a crucial discipline in software and systems development, focusing on identifying, documenting, and managing stakeholder needs and constraints to ensure the success of projects.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who aim to deepen their understanding of practical Requirements Engineering while preparing for the IREB CPRE – Foundation Level certification exam.

Upon completing this training, participants will be able to:

• Understand and apply the key concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identify and elicit requirements using effective and contextually appropriate techniques.
• Model, document, and validate requirements for real-world projects.
• Manage changes to requirements, ensure traceability, and prioritize them throughout the project lifecycle.
• Utilize Requirements Engineering tools and best practices to enhance communication and improve project outcomes.
• Be fully prepared to take and pass the IREB CPRE – Foundation Level certification exam.

Format of the Course

• 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 included upon request.

Model Based Development (MBD) is a software development approach that facilitates faster and more cost-effective creation of dynamic systems, including control systems, signal processing, and communication systems. This method relies on graphical modeling rather than traditional text-based programming.

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

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

• Select and use the appropriate tools for implementing MBD.
• Utilize MBD to accelerate development in the early stages of their embedded software projects.
• Speed up the release of their embedded software into the market.

Course Format

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

This instructor-led, live training in Norway (online or onsite) is aimed at persons who wish to understand requirements analysis and conduct requirements analysis 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 overall concepts of, and activities within, requirements analysis.
• be familiar with the requirements analysis methodology.
• use different requirements analysis techniques to their advantage.
• structure requirements in order to communicate efficiently with architects and developers through an iterative requirement gathering process.

This course provides practical, hands-on experience in the fundamentals and applications of software engineering, requirements engineering, and testing.