The data & analytics ecosystem behind public services

Behind every policy decision, operational dashboard, performance measure, demand forecast, AI model, and transformation programme sits a data and analytics ecosystem that most service designers rarely see. 

Over the last few years, I've found myself working increasingly closely with architects, analysts, data scientists, and governance specialists. What started as a steep learning curve has fundamentally changed how I think about service transformation.  

Human-centred design has become an established part of digital delivery. Yet while digital transformation has accelerated, the supporting data transformation has often received less attention. The systems that collect, govern, secure, share, and analyse data are frequently treated as a technical concern, separated from the design of services themselves. 

But that separation is artificial.  

The government's digital-first agenda is about far more than creating better online journeys. It is about building services that can be measured, improved, automated, and governed responsibly. Organisations are investing heavily in shared platforms, data capabilities, and analytical services to support better decision-making and more efficient operations. 

At the same time, growing interest in AI has made the conversation even more urgent. AI does not solve poor data foundations. It amplifies them. When data is fragmented, governance is inconsistent, or standards are unclear, those weaknesses inevitably flow through into analytical products and AI systems. 

Front-end transformation has often moved ahead of the infrastructure needed to support analytics at scale. Online services increase the amount of available data. But more, or even better data are not enough. Service transformation does not stop at the front-end. 

For service designers and other UCD practitioners, understanding how data moves through organisations is becoming increasingly important. Whether we're aware of it or not, we're already helping to shape data systems through the services we design. 

At SDinGov, I'll introduce the data and analytics ecosystem in practical terms: how analytical insight comes to life, who is involved, the infrastructure and services that make it possible, and the challenges organisations face as they transform their analytical capabilities. 

I'll also share practical approaches that have helped me navigate these spaces, including systems thinking, ecosystem mapping, and full-stack service design. Most importantly, we'll explore where design can add value beyond the front-end experience and how UCD practitioners can play a more active role in shaping data-enabled services. 

If you've ever wondered how analytical products are created, how data flows through an organisation, or where service design fits into the wider transformation landscape, I'd love you to join the session.