Business Analysis Essentials 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 change management process within an organization and the design of new business solutions. Business analysis aims to ensure that technological, procedural, or organizational solutions fulfill business goals and requirements. It plays a crucial role in ensuring the effectiveness of projects and changes within an organization by guaranteeing that the implemented solutions are accurate, feasible, and fully aligned with business requirements.

This workshop is tailored for seasoned Business Analysts, Product Owners, and User Researchers eager to master advanced techniques that generate tangible business value. Through practical exercises and hands-on tools, participants will learn to analyse complex data, streamline processes, engage stakeholders effectively, and translate strategic goals into action using OKRs. By the end of the course, attendees will possess a clear toolkit to enhance their impact and deliver measurable outcomes.

This course centers on the business analyst's role to ensure success in Agile projects. 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 can practice handling common scenarios.

This instructor-led, live training in Greece (online or onsite) is designed for individuals seeking to leverage 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:

• Grasp the true capabilities and limitations of GenAI models (such as hallucinations and context windows).
• Utilize AI as an advanced tool to enhance thought processes and analytical workflows.
• Develop precise requirement structures and technical documentation using AI assistance.
• Expedite conceptual work, from generating hypotheses to drafting documentation.
• Consciously assess the quality and substantive accuracy of AI-generated outputs.
• Acquire knowledge on the safe and ethical use of AI tools regarding corporate data.

Cost-effectiveness analysis (CEA) serves as a systematic approach for comparing different alternatives by evaluating the relationship between the resources invested and the outcomes achieved.

This instructor-led live training, offered both online and onsite, is designed for intermediate-level professionals seeking to apply cost-effectiveness methodologies to facilitate informed, rational, and evidence-based decision-making across various sectors.

Upon completing this course, participants will be equipped to:

• Formulate cost-effectiveness inquiries and establish evaluation criteria.
• Identify, categorize, and quantify relevant costs and outcomes for diverse scenarios.
• Utilize analytical frameworks to compare alternatives through cost-effectiveness ratios.
• Evaluate uncertainty, validate assumptions, and clearly communicate evaluation findings.

Course Format

• Guided presentations supported by real-world examples.
• Practical exercises to reinforce analytical techniques.
• Interactive problem-solving within a structured workshop environment.

Customization Options

• Tailored versions of this training are available upon request.

This instructor-led, live training in Greece (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.
• Connect strategy with operational activities.
• Identifies areas requiring quality control.
• Applies basic quality assurance mechanisms

Summary:

A business or systems analyst resolves 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: introduce a new business process, enhance the efficiency and productivity of existing processes, or lower the operational costs of those processes.

This course is designed for Business Analysts, including those aiming to prepare for IIBA certifications (CCBA or CBAP), and aligns with the framework outlined in 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, activities, tasks, deliverables, and their interrelationships.

Key Definitions:

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

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

CBAP® (Certified Business Analysis Professional) is a certification offered by the International Institute of Business Analysis (IIBA). It requires passing an exam based solely on the BABOK® after application approval, which is contingent upon education and experience.

This course demonstrates how to:

• Execute the core functions of a business analyst by applying a robust business analysis framework
• Conduct a business needs analysis to gather stakeholder requirements
• Utilize business analysis techniques to pinpoint critical problems and uncover opportunities within your enterprise
• Develop effective requirements and communication plans
• Analyse and specify requirements in accordance with industry best practices
• Manage solution assessment and validation

Insurtech (also known as Digital Insurance) represents the convergence of insurance services and emerging technologies. In this field, digital insurers leverage technological innovations to transform their business and operating models, aiming to reduce costs, enhance customer experience, and improve operational agility.

This instructor-led training helps participants understand the technologies, methods, and mindset required to drive digital transformation within their organizations and across the broader industry. The course is designed for managers seeking a comprehensive overview, aiming to cut through industry hype and jargon, and take the initial steps toward establishing an effective Insurtech strategy.

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

• Discuss Insurtech and its various components with clarity and systematic insight
• Identify and demystify the role of each key technology within the Insurtech ecosystem.
• Draft a high-level strategy for implementing Insurtech solutions within their organization

Audience

• Insurance professionals
• Technologists working within the insurance sector
• 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 Greece, participants will acquire a comprehensive understanding of the technologies, methodologies, and mindset required to successfully implement a Fintech strategy.

This program is designed for managers who need to grasp the broader context of Fintech, cut through the hype and industry jargon, and take concrete first steps toward adopting new technologies relevant to financial business and services.

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

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

Insurance in the Digital Era offers a practical overview of how digital transformation is reshaping products, operations, and customer engagement within the insurance sector.

This instructor-led live training, available either online or onsite, targets intermediate-level insurance professionals seeking to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize their insurance offerings and operational processes.

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, concentrating on 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 aiming 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 capable of:

• Understanding and applying the core concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identifying and eliciting requirements using effective and context-appropriate techniques.
• Modeling, documenting, and validating requirements for real-world projects.
• Managing requirements changes, traceability, and prioritization throughout the project lifecycle.
• Leveraging Requirements Engineering tools and best practices to enhance communication and project outcomes.
• Being 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.

Customization Options

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

Model-Based Development (MBD) is a software development methodology that facilitates faster, more cost-effective creation of dynamic systems, including control systems, signal processing applications, and communication systems. It relies on graphical modeling rather than 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 for their embedded software products.

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

• Select and utilize the appropriate tools for implementing MBD.
• Use MBD to facilitate rapid development during the early stages of their embedded software projects.
• Accelerate the release of their embedded software into the market.

Course Format

• Part lecture, part discussion, exercises, and intensive hands-on practice.

This instructor-led, live training in Greece (online or in-person) is aimed at individuals who wish to understand requirements analysis and to conduct it 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 and activities within requirements analysis.
• Be familiar with the requirements analysis methodology.
• Use different requirements analysis techniques to their advantage.
• Structure requirements to communicate efficiently with architects and developers via an iterative requirement gathering process.

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