This year, we’ve started exploring new ways of cutting the data—such as rural vs urban distribution. While not a lead theme, this was a useful exercise to test assumptions, question narratives, and see how else we can deepen our understanding of reach. As a result, we’ve now included a new graph on our cross-programme overview, showing the number of investments delivered to rural vs urban areas. Other explorations will follow, including cross-cutting analysis by primary beneficiary and outcome area. These help us—and the social investment sector—uncover patterns we might otherwise miss.
Using Data to Support Relationships
While we publish data externally, a lot of the insight starts from internal use—supporting programme teams, partner relationships, and fund management conversations. Some of our data feeds directly into how we assess progress against programme goals.
More recently, we’ve started piloting partner-facing dashboards, allowing delivery organisations to see their data in real time, reflect on their impact, and learn from patterns across the programme. This model—already underway in one programme—has the potential to build more collaborative, data-informed relationships across our funding portfolio. The hope is that it helps partners to share their stories and deepen their learning, not just meet reporting requirements.
What We’re Learning Along the Way
This journey hasn’t been without growing pains. Like many organisations, our data systems started off small and manual. As our portfolio and ambitions grew, so did the complexity—and the gaps. We’ve had to rework forms, overhaul processes, and build automations to scale effectively. We’ve leaned heavily on the skills of the whole team, and we’ve embraced every Excel trick we can find!
We’ve also realised that our commitment to flexibility—especially in how we support partners—doesn’t always translate easily into rigid data systems. It’s pushed us to think hard about what we collect, why we collect it, and how it can be useful to others. Governance, structure, and clarity have become just as important as responsiveness and empathy.
One key learning is the need to share back, not just collect. For example, in our Local Access programme, we’ve co-created a live dashboard that transforms monitoring data into real-time visuals for local partners. It’s been described as crucial for local influencing and advocacy—particularly in places without in-house data teams or capacity.
What’s Next: From insight to influence
Looking ahead, our focus is on:
- Tracking organisational journeys through our programmes to understand what works and when
- Expanding partner dashboards, so more organisations can reflect on their impact alongside others
- Apply more cross-cutting analysis to identify patterns, correlations and opportunities for deeper understanding
We want our data to help build an investment eco-system that works for all. We also hope our insights highlight where the gaps still are—especially when it comes to reaching underserved communities and protected groups—and what’s needed to close them.
Join us on the journey
This is the first in what we hope will be a regular drumbeat of insight-sharing—starting broad, going deeper over time. If you’re doing similar work, have feedback, or want to collaborate, we’d love to hear from you.
You can explore our most recent dashboards here, and keep an eye out for future blogs, data drops, and deep dives.
Let’s keep making data clear, useful, and powerful—so charities and social enterprises get the finance they need to thrive.