- 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
Data Strategy Program Manager, Environment, Energy & Science
Department of Planning, Industry and Environment
Senior Director, Data & Analytics
Australian National Audit Office
Director, Spatial Data Architecture
Head of Government Business
Data61 - CSIRO
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With the volume of data produced and the speed at which it is accumulated, an organisation requires data management to orchestrate the handling of their big data. Learn to effectively manage your data by practising the fundamentals of good data management. Become aware of the bigger picture when it comes to data management, obtain a better understanding of the data you collate, grasp the importance of data sharing, and know the benefits of processing and retrieving data.
Understand your data strategy
- Data Management Strategy
- Data Management Function
- Business Case
Working with data governance
- Governance Management
- Business Glossary
- Metadata Management
- Privacy Governance & Management
Retaining data quality
- Data Quality Strategy
- Data Quality Assessment
- Data Requirements Definition
- Data Life-cycle Management
Supporting your data processes
- Architectural approach
- Measurement and Analysis
- Process Management
- Process Quality Assurance
Sachin Kanbargimath Group Data Management Lead Woolworths Group Limited
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
Due to the advancements in computer processing power, and lower processor and memory costs, it is now practical to analyse large volumes of data using data science techniques. Keeping any activities of the data scientist aligned to the overall business goals is critical. Data managers and business analysts can help keep the team on track by looking at the outputs and focusing on those patterns that can lead to positive change in a department.
- Identify emerging industry trends through data science
- Create data-driven values and establish new programs
- Boost collaboration internally
Nathan Brewer Director, Data Mining & Predictive Analytics Department of Human Services
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
The rules for use and sharing of data have changed, bringing new legislation, policies, and principles. Understanding the legislative sphere can be complicated, so what does it mean for institutions that are trying to provide services to their citizens? James will explore how he and his department overcame these challenges by understanding their state legislation, the application and implications on data sharing, and how they broke data silos.
- Data sharing legislation in NSW
- How is that legislation applied? What we have discovered through our strategy work?
- How to overcome the use of legislation as a barrier to release data
James Bibby Data Strategy Program Manager, Environment, Energy & Science Department of Planning, Industry and Environment
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
Xiaoyan Lu Senior Director, Data & Analytics Australian National Audit Office
Stuart Wilson Senior Data Repository Analyst ACT Government, Health Directorate
Matthew Johnson Director, Office of the Chief Economist IP Australia
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
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
21 Nov - 22 Nov
Understand the power and purpose of data visualisation
- History of data visualisation, recent developments and future outlook
- Visualisation to drive decision-making for your department
- Knowing your why, and what your data needs to achieve
Tapping the five pillars of an organisation’s data science and analytics maturity
- Making sense of your organisation’s analytics capacity to create compelling data vis
- Plotting a roadmap from business strategy to data visualisation
- In-depth understanding of what makes successful organisations do data right
Deciphering key components of data visualisation
- Understanding graph theory and colour theory
- How different shapes and objects are perceived and create meaning
- Practical interactive activities exploring use cases of data visualisation
Connecting the dots
- Assess various use cases and meaning of data vis solutions
- Inputting data effectively and the importance of tool selection
- Design fundamentals for data visualisation
Felipe Rego Data Science & Analytics Partner Felipe Rego
Telling compelling action-oriented stories with data
- Learn the power of narrative, and how to effectively communicate with data
- Understand the power of visual storytelling
- Making the right graphical choices and controlling the narrative
Data design fundamentals and visualisation literacy
- Formats for data visualisation and presentation - chart types, animation, infographics
- Picking the right visual language to influence your audience
- Simplifying the data to tell your story more effectively
Software, tools and dashboards
- Explore information presentation tools and software options
- Differences between different types of visualisation, tools and best practice
- Overview of Tableau Desktop, Adobe Illustrator, After Effects, and more
Dashboards design and information hierarchy
- Selecting the right option and organising your data and dashboards
- Working with complex charts and data visualisations
- Creating a clear and accessible model
Felipe Rego Data Science & Analytics Partner Felipe Rego
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