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Project Analytics
Explore how to integrate data-driven insights into decisions executives and senior managers make when handling projects.
This course is delivered through a novel teaching model by a multiple teaching-excellence-award-winning Assistant Professor from UWA – No prior background in project management or analytics is required to achieve the learning outcomes.
2 Days
Overview
While project management can be perceived as traditional, Project Analytics is a relatively new branch of knowledge, developed in response to the practical needs that managers and senior decision makers face in projects. This course strengthens your ability to interpret project data, uncover performance issues, and make data-driven decisions across different stages of the project lifecycle. As projects become more complex, professionals must understand not only what has happened, but why it happened, what is likely to happen next, and which actions will deliver the best outcomes. This course not only covers all these areas but also takes steps to expand participants’ knowledge and skills beyond these capabilities.
This course introduces the four core types of analytics, including, descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics, and show how these can be used in projects to shift from intuitive to data driven decision making.
Through practical exercises and real-world case studies, participants learn how analytics enhances informed decision-making. The program builds confidence in using data as a strategic asset to improve project delivery, governance, and stakeholder communication.
Who Should Attend
This course is designed for a broad range of professionals, from those with no prior background in analytics or project management to practitioners and experienced project managers and stakeholders, who want to understand how data-driven decision-making supports successful projects. The course is accessible, practical, and structured to support participants at all experience levels.
Course Content
During this training course, you will explore:
- Foundations of project analytics and data-driven decision-making
- Case studies from Defence and other public sector projects demonstrating analytics in complex project environments
- Structuring project data for clarity, traceability, and insight
- Descriptive analytics to analyse project data and performance
- Diagnostic analytics to find and eliminate root-causes of problems
- Predictive analytics to forecast patterns and trends and estimate project required time, cost and resources
- Prescriptive analytics to perform scenario planning and recommend optimal actions based on project data.
- Scenario analysis and decision-making under uncertainty
Learning Outcomes
Facilitator Profile
Dr. Mehdi Rajabi Asadabadi
Lecturer, Academic, and Strategic Mentor
Mehdi is an award-winning lecturer, academic, and strategic mentor specialising in supply chain management, decision frameworks, and analytics.
He has the experience of coordinating and teaching courses in different capacities at a few top universities in Australia, including the University of New South Wales (UNSW), the Australian National University (ANU), the University of Sydney (USYD), and the University of Western Australia (UWA).
He is currently coordinating courses such as Supply Chain Management and Supply Chain Analytics at UWA. With extensive experience in teaching and mentoring, he focuses on helping professionals and students translate complex concepts into clear, actionable strategies. He has proven to be committed to equipping participants with the tools to make fair, effective, and data-driven decisions in supply chain environments.
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