Data Driven Insight Training Course

Business analysis is the process of investigating, understanding, and defining business needs in order to develop solutions that meet those needs. It is a key element in the change management process within an organization and in designing new business solutions. Business analysis aims to ensure that technological, process, or organizational solutions meet business goals and needs. It plays a vital role in ensuring the effectiveness of projects and organizational changes by guaranteeing that implemented solutions are appropriate, feasible, and fully aligned with business requirements.

Designed for seasoned Business Analysts, Product Owners, and User Researchers, this workshop focuses on mastering advanced techniques that generate tangible business value. Through practical tools and interactive exercises, participants will learn to interpret complex data, streamline processes, engage stakeholders effectively, and convert strategic goals into actionable outcomes using OKRs. By the conclusion of the session, attendees will possess a robust toolkit to enhance their impact and achieve measurable results.

This programme emphasizes the critical role of the business analyst in delivering successful Agile initiatives. Learners will acquire skills to collaborate effectively with the development team, Product Owner, Scrum Master, and clients to streamline the delivery process. The course includes a simulated project where participants practice handling typical scenarios.

This instructor-led, live training in Malaysia (online or onsite) is aimed at beginner, intermediate, and 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 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) serves as a systematic approach for evaluating different options by assessing the link between the resources invested and the results achieved.

This instructor-led live training, available both online and onsite, is designed for intermediate-level professionals looking to utilize cost-effectiveness methods to facilitate informed, rational, and evidence-based decision-making across various industries.

Upon completing this course, participants will be equipped to:

• Formulate cost-effectiveness inquiries and set evaluation standards.
• Recognise, categorise, and measure pertinent costs and outcomes for different scenarios.
• Utilise analytical frameworks to compare options via cost-effectiveness ratios.
• Evaluate uncertainty, verify assumptions, and effectively communicate evaluation findings.

Course Delivery Format

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

Customisation Options

This instructor-led, live training in Malaysia (online or onsite) is aimed at beginner, intermediate, 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 conclusion of this training, participants will be able to:

• Comprehend the concept of strategic agility.
• Link strategy with operational activities.
• Identify areas requiring quality control.
• Apply basic quality assurance mechanisms

Summary:

Business and systems analysts resolve organisational challenges by crafting information systems that execute the strategies defined by the business. These IT solutions typically aim to achieve one of the following objectives: implementing new business processes, enhancing the efficiency and productivity of existing processes, or reducing the operational costs of current processes.

This course is designed for Business Analysts, particularly those intending to pursue IIBA Certification (CCBA or CBAP). It aligns with the framework detailed 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) Standard for practice of business analysis and 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) 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.

This course demonstrates how you can:

• Execute the core responsibilities of a business analyst by applying a robust business analysis framework
• Conduct business needs analysis to capture stakeholder requirements
• Utilize business analysis techniques to identify critical problems and potential opportunities within your organization
• Develop effective requirements and communication strategies
• Analyze and document requirements using industry best practices
• Manage solution assessment and validation

Insurtech (also known as Digital Insurance) signifies the intersection of insurance and emerging technologies. In the Insurtech landscape, "digital insurers" leverage technological innovations to reshape their business and operational models. The goal is to lower costs, elevate the customer experience, and increase operational agility.

This instructor-led training empowers participants to grasp the technologies, methodologies, and mindset required to drive digital transformation within their organizations and across the industry. The course is specifically designed for managers seeking a comprehensive overview, aiming to cut through the hype and jargon, and initiate the development of an effective Insurtech strategy.

Upon completing this training, participants will be able to:

• Discuss Insurtech and its core components with clarity and systematic understanding
• Identify and clarify the role of key technologies driving Insurtech
• Draft a foundational strategy for implementing Insurtech within their organization

Audience

• Insurance professionals
• Technologists working within the insurance sector
• Stakeholders in the insurance industry
• Consultants and business analysts

Course Format

• A blend of lectures, discussions, exercises, and group case study activities

Through this instructor-led live training in Malaysia, participants will acquire a comprehensive understanding of the technologies, methodologies, and mindset required to implement an effective Fintech strategy.

This course is designed for managers who need a "big picture" perspective on Fintech. It aims to demystify industry hype and jargon, enabling you to take concrete first steps toward adopting new technologies relevant to financial businesses and services.

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

• Formulate and present viable Fintech strategies for their organisation.
• Understand and articulate the roles and functionalities of key technologies.
• Develop 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 industry.

This instructor-led live training (available online or onsite) is designed for 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.

Upon completion 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 their impact on 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) is a vital discipline in software and systems development, focusing on identifying, documenting, and managing stakeholder needs and constraints to ensure project success.

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

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

• Understand and apply the key concepts and terminology defined by 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.
• Use 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 Customization Options

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

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

Through this instructor-led live training, participants will learn how to apply MBD methodologies to reduce development expenses 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 appropriate tools for implementing MBD.
• Leverage MBD to conduct rapid development during the early stages of their embedded software projects.
• Shorten the release cycle of their embedded software into the market.

Format of the course

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

This instructor-led live training Malaysia (online or onsite) is tailored for individuals who wish to understand requirements analysis and execute it efficiently and accurately for their projects using specific analytical techniques.

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

• Identify different types of requirements.
• Understand the overarching concepts and activities involved in requirements analysis.
• Become familiar with the requirements analysis methodology.
• Utilize various requirements analysis techniques to their advantage.
• Structure requirements to enable efficient communication 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.