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.
Learn how Data Agility designed a solution for genetics and genomic data for the Department of Health in Victoria.
With the exponential increase in data, many organisations are faced with the ever increasing challenge of storing, processing and making sense of their data. Cloud-based data lakes help address these problems by providing organisations with the capability to capture any type of data, whether structured or unstructured, and make this data available for use for a range of applications. This includes your traditional reporting from structured data warehouses to big data analytics.
Learn how we solved Sustainability Victoria’s challenge to create a robust data system that could support evidence-based planning for hazardous waste management in Victoria.
Why you need to understand your audience, the questions they want answered and what your broader organisational objectives are.
EPA Victoria engaged Data Agility to help scope the requirements of the modern data platform project, to improve the collection of environmental data and the usability of it and to ensure future data collection will meet their organisational needs.
At Data Agility, we have long believed that environmental sustainability is a significant and present challenge. We take a proactive approach to minimising our impact on the environment in the way we operate, the work we do and by the advice we provide.
Data Agility have offered data analytics since 2003. The challenge many organisations face today is the volume and variety of data that is available.
Hazardous waste can pose a potential risk to environmental and human health when not managed appropriately. Data Agility worked with Sustainability Victoria by using data analytics to minimise risk in Victoria.
Most popular insights.
Data Agility adheres to the following ethical principles to all of its market research.
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 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.