Melbourne Business School For Organisations Data for Decision Makers Program

Data for Decision Makers Program

Leverage the power of your organisation’s data for competitive advantage

Data for Decision Makers Program Overview

The Data for Decision Makers program is for leaders who want to learn how their organisation can extract full value from data.

The latest Analytics Impact Index research shows that significant gains can be achieved by elevating an organisation’s data capability. Important factors in that capability are leaders who can ask the right questions and use data to identify the key drivers of value for their organisation.

By the end of the program, you will know which questions to ask, where to find the key drivers of organisational value, and how to guide your analysts to extract the greatest value from your data. You will also join over 1,500+ leaders who have been through the program from across Australia, New Zealand and Asia.

Who Should Attend?

Leaders and managers

This program is designed for leaders and managers who wish to better understand the benefits of data analytics and how to embed a data-driven decision-making culture.

Program Objectives

Develop an analytics mindset

  • Understand when and why data are better than intuition for decision making
  • Move away from correlations and dashboards toward causal drivers of organisational value
  • Extract greater value from your data using analytics

Contribute to improved data-based decision making 

  • Question entrenched ways of decision-making
  • Know when and how data can be misleading

Guide your analysts to improve their analyses of data

  • Know why the business context of data is critical for good data science
  • Develop and grow your team’s abilities by imparting contextual knowledge

Topics Covered

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Leverage data for strategy

Use tools and frameworks to align your data strategy with your business strategy.
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Extract value from data

Learn how your organisation can fully extract value from data and improve performance.
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Avoid common data mistakes

Understand how to use critical analysis to avoid being misled by dashboards or intuition.
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Correlations, models and AI

Learn to build conceptual data models that are more than just simple correlations.
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Causal thinking

Find out how to make better data-based decisions that mitigate biases in machine learning and AI.

Delivered in Person


Experience the interaction of MBS faculty at your preferred location (e.g. MBS or your organisation) with optional additional modules tailored to your organisation’s unique development needs.

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Delivered Online


Utilise the convenience of digital learning in one of two formats:

  • ‘Asynchronous’ to progress in your own time at your own pace, or
  • ‘Synchronous’ for live and continuous interaction with your facilitator and team

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Data for Decision Makers Success Stories

Deanna Lomas Profile Photo
This program has helped equip me with the foundational skills to engage in more robust conversations as data, reports and analytical discovery work is undertaken.
Deanna Lomas
Chief Integrated Supply Chain Officer
NHP Electrical Engineering Products
The feedback we got was that this was one of the best programs that ANZ had ever run. We’ve been able to collaborate with the finest business school in Melbourne and we’re just thrilled.
Emma Gray
Group Executive, Data and Automation
ANZ Bank
Till Brauckmann Profile Shot
"The program sensitized me to look first at a problem, then decide what data we may have to address that problem before jumping straight to the conclusions"
Till Brauckmann
Finance Director,
Siemens Healthcare Pty Ltd

Key Facilitators for the Data for Decision Makers Program

Profile picture of Yalcin Ackay, Melbourne Business School


Responsible for academic oversight of our Master of Business Analytics degree. Professor Akçay’s focus is to lead and execute the Centre’s research strategy and build on its existing reputation.

Chris Lloyd


Chris Lloyd joined Melbourne Business School in 2003 as a Professor of Statistics. Upon completing his PhD at the University of Melbourne, Chris held Associate Professor and Senior Lecturer positions at the Australian Graduate School of Management and the University of Hong Kong.

Michael Smith


Michael Smith has held the Chair of Management in Econometrics at MBS since 2007. He is a leading researcher in Bayesian statistics and business analytics. Prior to joining MBS, he held positions at Monash University and the University of Sydney.

Contact Us

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