Developing Autonomous Data Competencies for Real Value & Analytics-Readiness
Part of the Data Management & Analytics National Insights Series
Tuesday, 24 May 2022 | 11am – 1:10pm AEST | Online
Event Overview
Cutting through Complexity to Deliver Clarity for Actionable Insights
Australian Public Sector data teams are facing progressively complex challenges that will demand greater preparation, planning, and accuracy for contingencies onwards from 2022. We see trends of open-by-default, more advanced, and machine-assisted analytics, users, and citizens becoming more aware of the risks of sharing their data when transparency is lacking. We can, however, even the odds a little with the correct tools, practices, and data.
This quarter, we will delve deeper into the elements of effective governance, leadership, and culture, to further data outcomes, maturity, and advanced tech for better decision-making. As well as balancing these with ethics, responsibility, and discernment when handling public data.
Join us at the complimentary Developing Autonomous Data Competencies for Real Value & Analytics-Readiness Virtual Event, as we unpack this.
Benefits of Attending
A Sneak Peek Of Your Inspiring Speakers
Dr. Susie Kluth,
Chief Data Officer,
Department of Education, Skills and Employment
Imma Chippendale Executive Director, Data &
Performance,
Department of Regional
NSW
David Evans,
Director, Business Analytics,
WorkSafe Victoria
Eleanor Newby,
Director, Efficient Pricing, Pricing and Performance
National Skills Commission
Key Sessions
Using Integrated Data for Deeper Insights
- Department of Education, Skills and Employment experience with integrated data
- The challenges and opportunities of using integrated data
- Why collaboration is key to successful integrated data analysis
Data Governance and Culture Journey from the Australia Energy Regulator
Data Literacy – First Things First
Building Future Foundations: AI & Analytics Augmentation, not Replacement
- Why the case for augmented data preparation, automated/self service analytics, and machine-assisted insights, and how does it differentiate with traditional analysis for decision-making?
- How do we overcome previous ways of thinking and cultural issues with adoption and unrealistic expectations?
- What are the technical requirements, considerations and measures to best prepare for advanced capabilities in the cloud?
- How may be best address governance and skills gap challenges now to give our organisation the best opportunity for successful adoption and transformation?
Your Registration
What Your Peers Had to Say
Event Partners
Silver partner
