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.
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.
Building a modern data platform
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.
Environmental sustainability is at the heart of everything we do
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.
Delivering reporting uplift and more…
Victoria Legal Aid (VLA) engaged Data Agility to develop their first data strategy.
Peter Noble, VLA Executive Director spoke with and Iain Kiernan, Director Marketing and Customer Advocacy about the key components of the work architecture, governance, reporting, visualisation and how VLA was taking a transformative leap.
How data analytics is minimising risk in Victoria
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.
AI – Adoption
Some organisations face stakeholder pressure to implement AI quickly, driven by the fear of being left behind. Thoughtful planning and a solid data foundation are essential to ensure a smooth and effective AI integration
AI – Data Governance
When trust in data and trust in the use of data is a global concern AI’s effectiveness hinges on robust data governance. This eBook addresses the inherent challenges associated with AI driven data governance and how to overcome them.
AI – Data Strategy
As organisations explore the integration of AI into their operations its clear a well defined data strategy is essential. This eBook sets out the key components for the development of your AI data strategy