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 designed for executives who wish to learn how to leverage data analytics to drive greater organisational value.

The Data for Decision Makers Program is designed for executives who wish to learn how to leverage data analytics to drive greater organisational value.

Companies currently have huge volumes of data about their customers, operations, and performance - but most are only able to harness a fraction of the full potential of their data. Data alone won’t deliver a competitive advantage.

This program explores the strategic opportunities presented by data and helps leadership teams use a common language to understand the key drivers of organisational value using data. By the end of the program, executives will be able to identify the key value drivers, ask the right questions and make data-based business decisions to extract better value from your organisation’s data assets. 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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Data-driven decision making

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How data can support growth

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Why intuition and dashboards can mislead

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Correlations, causality and models

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Predictive, prescriptive, and causal analytics

Delivered In Person

APPROX 4 - 8 HOURS

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.

Delivered Online

APPROX 4-8 HOURS

Utilise the convenience of digital learning with live interaction with your facilitator and team.

Data for Decision Makers Success Stories

Digital and Data is a key enabling pillar for our strategy to gain an understanding of data and how it can be used. The MBS analytics program is a great opportunity for both leaders and the team to gain a firsthand immersion into understanding data and how it can be used.
Raymond Lui
Former Director of Financial Planning & Analysis
Bupa
We are the number one beauty company in the world, and we are now on a journey to bring analytics into our business and decision making. The MBS analytics program was a natural choice to bring these worlds together.
Christelle Young
Chief Strategy & Analytics Officer
L’Oréal South Asia Pacific, Middle East & North Africa
We’ve been progressively improving the data-led decision making in our organisation, and the MBS analytics program has helped us focus on building capability in this area.
Matt Young
Chief Financial Officer
Treasury Wine Estates

Key Facilitators for the Data for Decision Makers Program

Yalcın Akcay | Data For Decision Makers Program

PROGRAM DIRECTOR

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

PROFESSOR OF STATISTICS

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

PROFESSOR OF STATISTICS AND ECONOMETRICS

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.

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