Understand the impact of Artificial Intelligence from Australian leaders’ point of view.
Data Governance Implementation
Data governance implementation is a well-planned people-centric activity. Learn how to instigate data governance to help achieve business benefits.
Measuring and Managing Data Quality
In this last part of our data quality blog series, we look at the 7 dimensions of data quality and the ways you can assess and fix data quality issues.
Top causes of poor data quality and how to fix them – People and processes
Learn the root causes of poor data quality related to technology and how you can address them to ensure your organisation gets access to high-quality data that is reliable and serves its purpose.
Machine learning and ethics
Advancements in artificial intelligence (AI) and machine learning (ML) have grown exponentially over the past years.As the capacity to gather copious amounts of data has increased, the curation and development of highly targeted algorithms have also developed rapidly....
6 things that affect your data quality and reliability
Learn how Data Agility designed a solution for genetics and genomic data for the Department of Health in Victoria.
5 new data analytics industry trends to look out for in 2021
Learn how Data Agility designed a solution for genetics and genomic data for the Department of Health in Victoria.
How To Write A Data Strategy
Learn how to write a data strategy for your organisation and how to move from the ‘thinking’ stage to the ‘doing’ stage of the project.
Real-World Examples of Predictive Analytics in Government
Learn how different government agencies in Australia and internationally use predictive analytics to improve service delivery to their clients.
Most popular insights.
AI – Focus on the data pillar
Data is a key component to be AI ready. This eBook looks the strategy, governance, quality and data lifecycle issues we all need to tackle to be AI Ready
AI Ready
Every organisation needs to be AI ready and data is a key component. This eBook looks the skills, ethical framework, integration, cybersecurity and infrastructure issues we all need to tackle to be AI Ready
Microsoft Fabric
Accelerate your Microsoft Fabric journey by applying the Data Agility framework