Strategic Agility and Quality Assurance Training Course

Business analysis is the process of investigating, 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, procedural, or organizational solutions meet business goals and needs. It is a key element in ensuring the effectiveness of projects and changes within an organization by guaranteeing that implemented solutions are appropriate, 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 deliver tangible business value. Through practical exercises and applicable tools, participants will learn to dissect complex data, refine processes, engage stakeholders effectively, and translate strategic goals into action via OKRs. By the conclusion, attendees will possess a definitive toolkit to amplify their impact and achieve measurable outcomes.

This course targets the business analyst's contribution to delivering success within Agile projects. Participants will learn how to collaborate effectively with the Team, Product Owner, Scrum Master, and Customer to streamline the development process. Through a simulated project, participants will practice handling common scenarios.

This instructor-led, live training in Australia (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) provides a structured framework for comparing alternatives by examining the link between the resources invested and the outcomes achieved.

This instructor-led, live training—available online or on-site—is designed for intermediate-level practitioners who want 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:

• Define cost-effectiveness questions and establish evaluation criteria.
• Identify, classify, and quantify relevant costs and outcomes for diverse scenarios.
• Apply analytical frameworks to compare alternatives using cost-effectiveness ratios.
• Assess uncertainty, validate assumptions, and clearly communicate evaluation results.

Course Format

• Facilitated presentations supported by real-world examples.
• Applied exercises to reinforce analytical techniques.
• Interactive problem-solving in a guided workshop environment.

Customisation Options

• Customised versions of this training are available upon request.

Summary:

Business and systems analysts resolve business challenges by designing information systems that execute the strategies defined by the organisation. These IT solutions typically aim to achieve one of the following business goals: implementing a new business process, enhancing the efficiency and productivity of existing processes, or reducing the operating costs of current processes.

This course is designed for Business Analysts, including those who wish to prepare for an IIBA Certification (CCBA or CBAP), and aligns with the framework outlined in the 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) A standard for the practice of business analysis, serving as a framework describing the tasks that must be performed.

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

This course demonstrates how to:

• Execute the core functions of a business analyst by utilising a robust business analysis framework
• Conduct business needs analyses to identify stakeholder requirements
• Apply business analysis techniques to uncover key challenges and potential opportunities within your enterprise
• Develop effective requirements and communication strategies
• Analyse and specify requirements in accordance with industry best practices
• Manage solution assessment and validation

Target Audience:

Business consultants, business analysts, project managers, and IT professionals.

Insurtech, also known as Digital Insurance, represents the fusion of the insurance sector with emerging technologies. Within this domain, 'digital insurers' leverage technological innovations to refine their business and operational models, aiming to lower costs, elevate the customer experience, and increase operational agility.

This instructor-led training provides participants with a comprehensive understanding of the technologies, methodologies, and mindset required to drive digital transformation within their organisations and across the broader industry. The course is specifically designed for managers who need a high-level grasp of the subject, the ability to cut through hype and jargon, and the initial steps to formulate an Insurtech strategy.

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

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

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 live, instructor-led training in Australia, participants will develop an understanding of the technologies, methodologies, and mindset required to implement a Fintech strategy.

This course is designed for managers who need to gain a 'big picture' perspective on Fintech, cut through the hype and jargon, and take concrete first steps towards adopting new technologies relevant to financial business and services.

Upon completion of this training, participants will be able to

• Propose viable Fintech strategies for their organisation.
• 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 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 onsite) is designed for intermediate-level insurance professionals who wish to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernise 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’ organisations.

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 landscape. It centres on identifying, documenting, and managing the needs and constraints of stakeholders to ensure project success.

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

Upon completing this training, participants will be equipped to:

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

Format of the Course

• Interactive lecture and discussion.
• Case-based exercises and collaborative workshops.
• Exam preparation sessions and practice questions.

Course Customisation 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

This instructor-led, live training in Australia (online or onsite) is aimed at individuals seeking to understand requirements analysis and perform it efficiently and accurately using analytical 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 illustrates the core principles and practical applications of software engineering, requirements engineering, and testing through hands-on exercises.