Smart Data Foundry’s Theory of Change: turning data into impact

Most of us create data every day. We shop, travel, pay bills, run businesses, use services and move through our local economies. But the data generated by these everyday activities sits within private organisations, where it is used to develop new products and services, yet cannot reach its full potential. Financial institutions hold some of the most valuable economic data available, and when used responsibly, this data can help explain how people, places and communities are responding to economic, policy and other events in near real time.

At Smart Data Foundry, we believe that when data is used safely, responsibly and with the right safeguards, it can shed light on some of society’s important questions. Where are individuals under financial pressure? Which communities are being left behind? How is economic inactivity changing across places? Are public services reaching the people who need them most? What does a fairer and more resilient economy look like in practice?

Our Theory of Change outlines how we aim to translate this data into impact. It shows how secure access to private sector data, combined with cross-sector collaboration and a strong public purpose, can support better research, better decisions, and, ultimately, better outcomes for people and communities.

But it also helps us clarify how we talk about our work. Smart Data Foundry is not just about platforms, dashboards or visualisations. Those tools can be useful, but they are not the destination. Our impact lies in the data, the insights it unlocks, and the actions it enables.

Starting with the problem, not the technology

The challenges we care about are complex. Poverty, inequality and economic inactivity cannot be understood through a single dataset, organisation or sector. They are shaped by people’s experiences of work, health, income, place, services, transport, housing and opportunity.

Official statistics remain essential, but they take time to produce or cannot show what is happening at the level of detail needed for timely decision-making. Private sector data can add something different. It can offer more current, granular and practical insight into how people and local economies are changing. But, this detailed data about people, businesses and communities must be handled with care - making trust, privacy, security and governance are central to everything we do.

So our starting point is: “How do we responsibly make financial data available to the people/organisations who can use it to improve lives?”

Building the foundations for safe and useful access

Before data can support change, the right foundations need to be in place. This is the often invisible work that makes everything else possible. We bring together secure technology infrastructure, trusted research environments, governance procedures, specialist teams, partnerships, funding, and public engagement. These foundations allow private sector data to be accessed, managed, and used in ways that safeguard privacy while enabling public benefit.

Just as importantly, we work across different disciplines and sectors. Data providers, researchers, policymakers, public bodies, charities, and communities all see different parts of the picture. Bringing them together helps ensure that the questions being asked are relevant, the methods are robust, and the outputs are useful beyond a single project.

This approach is central to our Theory of Change. We do not see data as something that moves in one direction from provider to researcher to report. We see it as part of a wider system of trust, learning and decision processes.

From access to insight

Once the foundations are in place, our role is to help turn financial data into something people can use. That might mean creating indicators that show changes in economic wellbeing. It might mean curating datasets to enable researchers to explore patterns in financial vulnerability or business activity. It might mean supporting users in working with data responsibly or developing standards and best practices so that others can build on what we have learned.

What change looks like along the way

Our Theory of Change recognises that impact rarely happens overnight. It is built through a chain of activity, learning and influence. At one level, we produce practical outputs: curated data products, indicators, partnerships, research proposals, governance frameworks, events, publications and feedback loops. These are important because they show that the infrastructure is being used and that relationships are forming around real questions.

But outputs are only the beginning. The more meaningful signs of progress are the changes that follow. Are researchers across different sectors better able to answer complex questions? Are policymakers using better evidence to design interventions? Are public services becoming more responsive? Are organisations improving their data literacy and confidence? Are new collaborations forming between people, organisations and teams that have not traditionally worked together? These are the intermediate outcomes that tell us whether we are helping to build capability, not just produce products.

The long-term outcomes are broader still: reduced poverty and inequality, improvements to productivity and growth, better health outcomes, and fairer, more prosperous communities.

We know we will not achieve these outcomes alone, no single organisation can. Our role is to help create the conditions that make progress more likely: better evidence, stronger partnerships, safer data access and clearer routes from insight to action.

Tracking our progress to impact

Our Theory of Change serves as a learning tool. It helps us ask whether our assumptions. It prompts us to consider whether we're providing data in ways users genuinely need, whether our indicators are clear and reliable, and whether our partnerships are reaching the right audiences. It also encourages us to evaluate whether our products facilitate faster, fairer decisions supported by solid evidence, and if we're attentive to public concerns.

This Theory of Change is more than just an expression of goals; it acts as a framework for tracking and learning from our progress over time.

As we evolve, access and usage of our data may change. Some users might explore insights through visual tools, while others might engage with indicators, research datasets, or secure data environments. Ultimately, what matters most is whether our efforts assist people in responsibly leveraging private-sector data to solve important problems and make better decisions.

That is why we will monitor not only what we produce, but what our work enables. We will track practical outputs such as datasets acquired, indicators developed, researchers supported, public engagement activity, collaborations formed and research outputs produced.

We will also look at the changes that follow. Are researchers better able to use private sector data responsibly? Are policymakers and public bodies accessing better evidence? Are new partnerships helping to answer questions that could not be answered before? Are insights from Smart Data Foundry contributing to better decisions, stronger services and improved outcomes for communities?

Through monitoring, evaluation and learning, we will combine data on our activities with user feedback, public engagement insights, case studies, and examples of how Smart Data Foundry supported research is helping organisations influence policy, practice and public benefit.

Our Theory of Change gives us a roadmap. Our impact work will show how we are progressing along it.