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.
How To Write A Data Strategy
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.
The 5 Key Elements Of A Data Strategy
Learn the 5 key elements every data strategy should have: the vision, principles, governance model, target state and ultimate plan.
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.
Data strategy: How to identify your opportunities
Developing your current state assessment when you commence your data strategy is a critical first step to identify your data opportunities.
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.
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