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 key element in the process of managing change within an organization and designing new business solutions. Business analysis aims to ensure that technological, process, or organizational solutions align with business goals and requirements. It is crucial for ensuring the effectiveness of projects and changes within an organization by making sure that implemented solutions are accurate, feasible, and fully aligned with business needs.

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 effective tools, participants will learn to analyze intricate data, streamline processes, engage stakeholders, and convert strategy into actionable steps using OKRs. By the conclusion, attendees will possess a definitive toolkit to enhance their impact and deliver quantifiable results.

This course centers on the responsibilities of the business analyst to ensure success within Agile initiatives. Participants will learn how to collaborate effectively with the development team, the Product Owner, the Scrum Master, and customers to streamline the development process. The curriculum includes a simulated project where attendees practice handling common scenarios.

This instructor-led, live training in France (online or on-site) is aimed at beginner, intermediate, or advanced 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.

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

• Understand the actual capabilities and limitations of GenAI models (such as hallucinations and context windows).
• Utilize AI as an advanced tool to support thinking and analytical processes.
• Learn how to create precise requirement structures and technical documentation using AI.
• Accelerate conceptual work, ranging from hypothesis generation to drafting documentation.
• Critically evaluate the quality and substantive accuracy of AI-generated outputs.
• Gain knowledge regarding the safe and ethical use of AI tools in relation to corporate data

Cost-effectiveness analysis (CEA) is a systematic approach used to evaluate alternatives by analyzing the balance between the resources consumed and the results achieved.

This instructor-led, live training (available online or on-site) targets intermediate-level professionals seeking to leverage 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 establish appropriate evaluation criteria.
• Identify, categorize, and quantify the relevant costs and outcomes for different scenarios.
• Utilize analytical frameworks to compare alternatives through cost-effectiveness ratios.
• Evaluate uncertainty, validate underlying assumptions, and effectively communicate the findings of the evaluation.

Course Format

• Guided presentations enriched with real-world case studies.
• Hands-on exercises designed to reinforce analytical techniques.
• Interactive problem-solving within a guided workshop setting.

Customization Options

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

This instructor-led, live training in France (online or onsite) is aimed at 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, 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 resolve organizational challenges by designing information systems that implement the strategies defined by the business. Typically, these IT solutions aim to accomplish one of the following objectives: launching a new business process, enhancing the efficiency and productivity of existing processes, or lowering the operational costs of current workflows.

This course is designed for Business Analysts, including those planning to pursue IIBA certification (CCBA or CBAP), and aligns with the framework established in BABOK® Version 3.0.

Objectives:

• Recognize the essential principles, activities, tasks, and techniques defined in BABOK® V3.0.
• Grasp the core knowledge areas, activities, tasks, deliverables, and their interrelationships.

Key Definitions:

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

CCBA® (Certified of Competency in Business Analysis) A certification provided by the International Institute of Business Analysis (IIBA). It requires passing an exam based solely on BABOK® following the approval of an application, which is evaluated based on education and experience.

CBAP® (Certified Business Analysis Professional) A certification provided by the International Institute of Business Analysis (IIBA). It requires passing an exam based solely on BABOK® following the approval of an application, which is evaluated based on education and experience.

Insurtech (also known as Digital Insurance) represents the fusion 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 customer experiences, and enhance operational agility.

This instructor-led training enables participants to comprehend the technologies, methodologies, and mindset 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, wish to cut through the hype and jargon, and take the initial steps toward establishing 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 demystify the role of each critical technology within the Insurtech ecosystem
• Develop a general strategy for implementing Insurtech within their organization

Target Audience

• Insurance professionals
• Technology specialists within the insurance sector
• 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 France, participants will develop a comprehensive understanding of the technologies, methodologies, and mindset required to implement a FinTech strategy.

This course is designed for managers who need a high-level understanding of FinTech, to cut through the hype and jargon, and to take concrete first steps toward adopting new technologies relevant to financial business and services.

By the end 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.
• 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 also allows for the evaluation of participants.

• 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 fundamental discipline in software and systems development, dedicated to identifying, documenting, and managing stakeholder needs and constraints to ensure project success.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals aiming to deepen their understanding 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.
• Leverage Requirements Engineering tools and best practices to improve communication and project outcomes.
• Be fully prepared to take and pass the IREB CPRE – Foundation Level certification exam.

Format of the Course also allows for the evaluation of participants.

• 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 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), is a methodology that 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 commonly used techniques in process mining. We explore various process discovery algorithms and tools used to identify and model processes from raw event data. Real-life case studies are examined, and datasets are analyzed using the ProM open-source framework.

This instructor-led, live training in France (online or onsite) is designed for individuals who want to understand requirements analysis and perform it efficiently and accurately using appropriate 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.
• become familiar with the requirements analysis methodology.
• leverage different requirements analysis techniques effectively.
• structure requirements to communicate efficiently with architects and developers through an iterative requirement gathering process.

This course illustrates the core principles and practical applications of software engineering, requirements engineering, and testing through interactive, hands-on exercises.