Learn how to develop a data governance framework and discover the steps to effectively implement it so your organisation meets its objectives and vision.
Report: Are Australian Leaders Ready for the Impact of Artificial Intelligence?
Understand the impact of Artificial Intelligence from Australian leaders’ point of view.
Eastern Health Case Study
Eastern Health implemented the complex migration of PAS data, including refactoring 38 connected systems and creating a new single view of patient.
Report: The Impact of Artificial Intelligence on Australian Leaders
Understand the impact of Artificial Intelligence from Australian leaders’ point of view.
Accelerating Victoria’s COVID-19 reporting
We developed the integration engine for the Department of Health Victoria’s COVID-19 reporting.
Designing a solution for genetics and genomics in public health Victoria
Learn how Data Agility designed a solution for genetics and genomic data for the Department of Health in Victoria.
Using data analytics to be more client centric
The Department of Health and Human Services needed a better way to manage their data, apply it and meet the needs of the future. We applied our Enterprise Data and Analytics framework to develop a solution for them.
Bullet proof solutions for your organisation
Data Agility’s integration team are Rhapsody certified professionals and are ready to support your migration from Java CAPS to Rhapsody.
Collaboration delivers complex system integration
Monash Health sought a partner to manage the implementation and complex integration of their new Electronic Medical Record system. It would allow them to use electronic orders and results across the organisation for the first time.
Most popular insights.
Our Ethical Approach to Market Research
Data Agility adheres to the following ethical principles to all of its market research.
Are You Collecting The Data You Need?
Are you collecting the data you need? Collecting more data does not necessarily lead to more useful information or better decision-making. In fact, the overcollection of data can lead to wasted resources.
Data Thinking for Organisational Transformation
Data thinking can be applied across the four pillars approach of transformation — Data, People, Process and Technology. In part 2 of our article series, we explore data thinking across all areas of organisational transformation.