Stop delivering projects and start delivering products
So many data initiatives fail, not because of poor technology, but because they are run like projects instead of products.
Projects focus on delivering outputs, a dashboard, a model, a platform, and once delivered, the team moves on. However, delivery does not equal impact and busy data programmes often fail to move the needle on business performance.
In this video, Tim Connold, Chief Client Officer at Cynozure, explains why adopting a product mindset is essential to achieving real return on data & AI investment.
The key differences:
Project mindset
- Measured by delivery milestones
- Focused on outputs
- Limited ownership once delivered
- Success defined by completion
Product mindset
- Designed to deliver value over time
- Clear ownership and accountability
- Built around real business problems and user needs
- Measured by outcomes and behavioural change
Whether it’s a decision product guiding better choices or an AI capability embedded directly into a workflow, value is only created when it is used and drives measurable improvement. If you want sustainable impact from data and AI, that shift is essential.
Watch the video below:
