- Develop effective service delivery through collaboration and sharing of data
- Establish a cross-institutional culture and foster trust
- Constitute and understand efficient government legislation, standards, and frameworks
- Navigate the digital revolution and embrace new technologies to retain the integrity and usability of data
Director, Data & Statistical Analysis
Department of Premier and Cabinet NSW
Co-Founder & CEO
Seer Data & Analytics
Chief Economist & Statistician
Australian Financial Security Authority
Senior Director, Innovation & Data Analytics
ACT Government, Transport Canberra and City Services Directorate
Senior Data Repository Analyst
ACT Government, Health Directorate
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Data sharing transforms how governments translate data into effective reforms and public services. However, regulatory and cultural challenges have impeded on the growth potential of data sharing as a result of barriers and an institutional unwillingness to collaborate.
Join Ian as he goes through the frameworks he developed with the Data Analytics Centre to promote cross-institutional collaboration. Enhance your understanding of regulations, cross-departmental trust, and effective data governance.
- Understand the regulations that prevent you from sharing data
- Foster cross-institutional trust through the development of effective frameworks
- Champion data sharing across your department
Dr Ian Oppermann Chief Data Scientist & Chief Executive Officer NSW Department of Customer Service & NSW Data Analytics Centre
Machine learning allows us to build software that interacts independently with humans, predict the future, learn strategy, and process big data. The next step will be computers that can interact naturally with humans to understand the mission and intent, not just individual tasks.
Paul will present a summary of his experience in working with government and private organisations. He will dive into what he believes is holding Australian organisations back from adopting and developing AI solutions that can refine your data governance.
- Understand AI and what it can do for your organisation
- Why Australia is falling behind in the AI race
- How you can effectively integrate AI to better your data governance
Paul Dalby Manager, Business Development Australian Institute of Machine Learning, University of Adelaide
Data governance implementation changes your data management culture, processes, and policies; shifting how your institution thinks and behaves when it comes to data. Join Selva to explore how governance processes can build credence within your organisation, policies, and data-driven decision-making.
- What are good data governance practices? How do you implement them?
- Create the right management process to ingrain better user behaviour in your organisations DNA
- Build a data management framework to promote stronger data governance to influence and guide legislation and policies
Dr Selvaraaju Murugesan Senior Director, Innovation & Data Analytics ACT Government, Transport Canberra and City Services Directorate
With analytics taking a central role in daily operations, managing large data streams is fundamental in generating useful data insights. Janin will discuss the first step towards producing cleaner data for analytics and how it starts with managing data in the most efficient way. Delve into how implementing guidelines and following protocols will streamline the analytics process for your department, provide beneficial insights and simplify the process of handling data.
- Establish clear analytics goals before you start
- Simplify and centralise your data streams
- Create dynamic data structures
Dr Janin Bredehoeft Executive Manager, Research and Analytics Workplace Gender Equality Agency
Data literacy is a core element when developing a culture of data, empowering workers to ask relevant questions behind data and communicate its meaning to others. Tim will discuss how the Department of Industry, Innovation and Science developed its data strategy by developing data as a business-as-usual activity across the agency.
- Ensure leadership in all things data
- The critical role of governance
- Build data literacy at all levels
Tim Beard Manager, Data Strategy Department of Industry, Innovation and Science
In 2018, the Location Index (LOC-I) project, part of the Data Integration Partnership for Australia (DIPA) program, brought together several government agencies to build a framework to support critical government decision making. This project contributed to economic, social, and environmental sustainability by providing a consistent way for seamless integration of data on people, business, and the environment.
Irina will discuss how the framework brings together modern technological approaches of Semantic Web, Discrete Global Grid Systems. She will also explore aspects of Social Architecture to ensure relevance, transparency, and accessibility of multidisciplinary data for the Australian Government and non-government users.
- Data integration: consistent identification, linking and integrating data
- Building new innovative capability: testing and implementing new tools for Semantic Integration of data
- Improving social architecture: human-related processes, institutional culture and implementing a user-centred approach
Irina Bastrakova Director, Spatial Data Architecture Geoscience Australia
The need for data collaboration has never been more intense than it has been recently. One of the biggest challenges facing government departments is how to make their data accessible to different divisions within their organisation. When organisations don’t have the right tools to share data, it can result in the same or similar data being collected by different divisions costing the organisation money. Join Kristi and Adam as they discuss how you can bridge the data divide with key tips on departmental collaboration to support data fluidity across your organisation.
- Identify emerging industry trends for data collaboration
- Create data-driven values and establish new programs
- Boost collaboration internally
Kristi Mansfield Co-Founder & CEO Seer Data & Analytics
Adam Peaston Co-Founder & Data Scientist Seer Data & Analytics
In a world where duplicated data, privacy concerns and usability of data can stifle progress within the public sector, cross-institutional collaboration can improve research capabilities and outcomes. River will discuss how the Australian Financial Security Authority has worked with the academic sector and other government departments to strengthen outcomes. This has included developing a comprehensive microdata file, a framework for trusted user access and collaboration with other departments on data collection and business intelligence. This work has reduced systemic issues that created duplication and inaccessibility. This has provided valuable research and insights to guide their department and Australia through the economy of the future.
- Working with end-to-end data to assist with research collaborations
- Creating a model to produce and provide quality data
- Cross collaboration with departments to provide practical services
River Paul Chief Economist & Statistician Australian Financial Security Authority
If improvements in data can change lives, then it must be accessible. Governments need data for planning, driving policy changes, and providing services under their leadership. Phil will discuss how the ACT government has implemented it's Data Governance & Management Framework by exploring, overseeing, and supervising data, terms of sharing, and the impact of privacy through assessment.
- Data stewardship and custodianship
- Data catalogue, including metadata and sharing rules
- Privacy impact assessment
Philip Crawford Digital Delivery Manager Chief Minister, Treasury & Economic Development Directorate
In today’s information-filled world, government departments must capitalise on the vast array of data available, allowing for the transformation of state and federal departments to become data-driven organisations. But what does it mean to be data-driven?
Explore a case study from Data61 on how they are pioneering the how public sector agencies can maximise the power of this deluge of data to improve citizen engagement and employee productivity. Discover how to build on public trust and identify the latest techniques to transform your department.
- The future of data-driven government;
- Building public trust and confidence in data projects;
- Latest techniques and technologies for facilitating data sharing
Katie Ford Head of Government Business Data61 - CSIRO
Vast amounts of data are collected and stored in state and federal government departments. The key is to create a data management plan at the beginning of a project that will support and promote better practices throughout the data cycle. Angus will discuss how he and the Department of Premier and Cabinet of NSW have produced effective data management and applied this to other disciplines and departments.
- Create an automated approach and identify the goal of your system
- Identify efficient and newer solutions by up-skilling your team
- Collaborate with other departments to lead you through the digital revolution
Angus Bristow Director, Data & Statistical Analysis Department of Premier and Cabinet NSW
Departments are experiencing a resource and culture strain due to the rapid pace of analytics adoption. Either executive leaders don’t see the value of analytics governance or their support has not yet reached data faculties.
Data must be transformed into accurate, complete, and readily accessible information to yield worthwhile insights. To build a foundation for analytics success, your data management processes cannot be an afterthought. The question is, how do you manage data for analytics?
- The role of data analytics within the data management process
- Challenges to prepare data for analytics
- How data analytics will boost your data management outcomes
Stuart Wilson Senior Data Repository Analyst ACT Government, Health Directorate
Matthew Johnson Lead Data Analyst, Office of the Chief Data Officer IP Australia
Xiaoyan Lu Senior Director, Data & Analytics Australian National Audit Office
Our chair will bring together the themes and ideas explored over the conference. Through engaging discussion, you will summarise the takeaways from the event and offer ideas for taking the next step in promoting a trust culture to support cross-departmental data sharing.
- Discuss how you can support trust culture in your department
- Summarise key takeaways from program agenda
- Collaborate with departments and express ideas on supporting each other through data
Kristi Mansfield Co-Founder & CEO Seer Data & Analytics
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