We developed the integration engine for the Department of Health Victoria’s COVID-19 reporting.
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.
Top Causes of Poor Data Quality and How to Fix Them – Technology
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.
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.
5 Common Problems that Data Scientists Face
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.
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.
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.
Most popular insights.
Accelerating Victoria’s COVID-19 reporting
We developed the integration engine for the Department of Health Victoria’s COVID-19 reporting.
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.