We developed the integration engine for the Department of Health Victoria’s COVID-19 reporting.
Improving the quality of data to be a modern regulator
Learn how we assisted EPA Victoria’s digital transformation through the creation of an Information Management (IM) strategy, a solution architecture and a roadmap, and by implementing what is seen as the core data platform of the agency.
Victorian Legal Aid Case Study
Learn how we developed and implemented Victoria Legal Aid’s (VLA) first Information Management and Analytics strategy through four streams: project management, reporting uplift, data governance and data workforce.
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.
Building Comcare’s Claims Data Architecture
Learn how Data Agility helped Comcare to document their Claims Data Architecture, to improve their understanding of their claims data.
Real-World Examples of Predictive Analytics in Government
Learn how Data Agility designed a solution for genetics and genomic data for the Department of Health in Victoria.
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.
Applying data through analytics
AusPost needed a strategy for applying their IM data through analytics. Here’s how we created an Analytics Strategy for them.
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.