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.
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.
The best real-world applications of predictive analytics in business
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.
5 reasons the Azure Data Lake can be invaluable to your organisation
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.
Infrastructure reporting project for RPV
RPV needed a solution that would report on project data that could be used by multiple stakeholders relating to rail infrastructure projects being delivered across Victoria. They engaged Data Agility to support them with this project.
7 mistakes organisations make when developing a data strategy
We review the 7 most common mistakes we see organisations make when it comes to developing their data strategy.
What should be in your data strategy
Today we look at what should be in your data strategy, who should be involved and why you need to consider your budget and timelines.
Using a data strategy to achieve long term business objectives
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.
Most popular insights.
Data Governance eBook
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.