BPMN for Analysts 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 change management within an organization and in designing new business solutions. Business analysis aims to ensure that technological, procedural, or organizational solutions meet business goals and needs. It is essential for ensuring the effectiveness of projects and organizational changes by ensuring that implemented solutions are accurate, feasible, and fully aligned with business requirements.

This workshop caters to seasoned Business Analysts, Product Owners, and User Researchers seeking to master advanced methodologies that generate tangible business value. Through practical exercises and effective tools, participants will acquire the ability to analyze intricate data, streamline processes, engage stakeholders, and convert strategic goals into actionable steps using OKRs. Upon completion, attendees will possess a robust toolkit designed to enhance their impact and deliver quantifiable outcomes.

This course highlights the responsibilities of the business analyst to ensure success in Agile projects. Participants will acquire skills to collaborate effectively with the Team, Product Owner, Scrum Master, and the Customer, thereby facilitating the development process. The training includes a mock project where attendees can practice handling common scenarios.

This instructor-led, live training in Italy (online or onsite) is aimed at beginner, intermediate, and advanced learners 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) provides a systematic framework for comparing options by evaluating the balance between resource expenditure and achieved outcomes.

This instructor-led training session, available either online or on-site, is designed for intermediate-level professionals seeking to utilize cost-effectiveness methodologies to facilitate informed, rational, and evidence-based decision-making across diverse industries.

Upon completing this course, participants will be equipped to:

• Formulate cost-effectiveness inquiries and establish appropriate evaluation standards.
• Identify, categorize, and quantify the relevant costs and outcomes applicable to various scenarios.
• Utilize analytical frameworks to evaluate alternatives through cost-effectiveness ratios.
• Evaluate uncertainty, verify assumptions, and effectively communicate the findings of the evaluation.

Course Structure

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

Customization Options

• Bespoke versions of this training can be requested.

This instructor-led, live training in Italy (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:

Business and systems analysts address 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 objectives: introducing a new business process, enhancing the efficiency and productivity of current processes, or lowering the operational costs of existing workflows.

This course is designed for Business Analysts, particularly those who wish to prepare for IIBA Certification (CCBA or CBAP). It aligns with the framework established in 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) The standard for the practice of business analysis, serving as a framework that describes 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) signifies 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 experiences, and increase operational agility.

This instructor-led training enables participants to grasp the technologies, methodologies, and mindsets required to drive digital transformation within their organizations and across the broader industry. The program is specifically designed for managers seeking a comprehensive understanding, aiming to cut through the hype and jargon to take the initial steps in formulating an Insurtech strategy.

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

• Discuss Insurtech and its various components in a knowledgeable and structured manner
• Identify and clarify the role of key technologies within the Insurtech ecosystem.
• Develop a general strategy for implementing Insurtech initiatives within their organization

Target 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 Italy, participants will develop a comprehensive understanding of the technologies, methodologies, and mindset required to implement a successful Fintech strategy.

This course is designed for managers who need a 'big picture' grasp of the Fintech landscape, enabling them to cut through the hype and jargon while taking concrete initial steps toward adopting new technologies relevant to financial businesses 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 offers a practical 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 their 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) plays a pivotal role in software and systems development, centering on the identification, documentation, and management of stakeholder needs and constraints to guarantee project success.

This instructor-led live training, available online or on-site, targets intermediate-level professionals eager 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 equipped to:

• Comprehend and apply the fundamental concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identify and elicit requirements using effective, context-suitable 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.
• 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 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 utilizes algorithms on event logs to examine business processes. This approach extends beyond mere data storage and analysis; it connects data with operational workflows, offering valuable insights into the trends and patterns that influence process efficiency.

Course Format

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

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

Upon completing this training, participants will be capable of:

• identifying various types of requirements.
• understanding the core concepts and activities associated with requirements analysis.
• familiarizing themselves with the requirements analysis methodology.
• effectively utilizing diverse requirements analysis techniques to their benefit.
• structuring requirements to facilitate efficient communication 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 hands-on exercises.