Learn how to develop a data governance framework and discover the steps to effectively implement it so your organisation meets its objectives and vision.
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.
Data Quality eBook
Learn the top causes of poor data quality and how to fix them.
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.
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.
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.
Data review and roadmap
Learn how we were engaged by the Fair Work Commission to conduct a review of how they manage a wide range of data related to cases across multi jurisdictions and internal business units, and to create a comprehensive roadmap for the Commission.
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.