University of Queensland
Data for Decision Making
- Delivery: Face to Face
- Study Level: Intermediate
- Duration: 2 days
- Course Type: Short Course
- Total Price: $3,289
Enhance your decision-making skills with data.
On this page
Course overview
Refine your decision-making abilities by mastering the art of leveraging and communicating data-driven insights through storytelling.
In today’s landscape, organisations often manage vast amounts of complex data spread across various systems. For leaders, it’s essential to grasp data management practices and uncover actionable insights.
Forward-thinking organisations use their data to better understand customers, teams and processes, identify trends and uncover patterns. Translating these insights into informed decisions gives them a powerful competitive edge.
This course is designed to help you develop the skills needed to effectively present data-driven recommendations that tackle organisational challenges and deliver impactful results. You’ll explore data visualisation and storytelling techniques, enriched by real-world case studies, industry perspectives and practical examples.
Key facts
What you will learn
- Learn to interpret and convey how data can drive value creation.
- Examine the role of data visualisations in addressing organisational challenges.
- Use storytelling strategies to guide stakeholder decision-making.
- Understand the importance of considering problem context and audience requirements.
- Master the art of tailoring insights to effectively engage diverse audiences.
Who should attend
- Emerging managers and leaders eager to leverage analytics, storytelling and visualisation techniques to craft informed, data-driven recommendations.
- Seasoned managers and leaders aiming to deepen their understanding and foster a culture of data-driven decision-making at the executive level.
Who You Will Learn From
Dr Katie Williams
Senior Lecturer
Katie Williams is a Senior Lecturer within the University of Queensland's Business School and specialises in Business Information Systems.
Katie's doctoral dissertation, “Investigating Information Systems Risk Management Processes and Information Security Practices within e-business Organisations” focused on the design of a series of classification frameworks relating to various aspects of information systems risk management, including the creation of the CARE framework.
A former KPMG Partner, Katie brings significant curated industry experience in the public sector, with a focus on business and digital transformation, data governance, business analytics and continuous auditing practices. Katie is a member of the Future of health - Business School - University of Queensland and an active member of the University's Business Educator's Hub.
Katie currently teaches into the MBA and Master of Business Analytics programs; and has designed and taught several Executive Education courses focusing on the use of data in aiding decision-mkaing.
Her research interests include AI governance, the impact of AI across the public sector, the use of AI as a pedagogical tool, and data governance.