Data
Most organisations are sitting on far more data than they actually use, scattered across spreadsheets, systems and inboxes in the form of survey responses, case records, programme reports and donation histories. The value is not in having it but in being able to see what it is telling you and to show others, and that is the work we do: bringing your information together, making sense of it, and turning it into something you can act on and report.
What we actually do with data
We bring it together, connecting the sources you already have so that your information lives in one place you can trust rather than five places that quietly disagree with one another. We make it make sense, turning raw records into clear answers about what is working, what is not, and where to put your limited resources. We help you prove your impact, building the reporting that funders and trustees genuinely want, with credible numbers drawn from what you really do and presented in a form they will believe. We show it clearly, with dashboards and visualisations that a person can read at a glance, but only where they genuinely help and never as decoration. And we help you plan ahead, working out what data you ought to be collecting now so that the questions you will need to answer in two years remain answerable when the time comes.
Honest about what's worth doing
There is a great deal of data theatre about, by which we mean expensive dashboards that nobody opens and analytics that produce charts but never decisions, and we are not interested in any of it. We will help you collect and use the data that earns its keep, and we will tell you plainly when a particular piece of data work is not worth the cost. We are also careful with sensitive data, since much of what our clients hold is personal, confidential, or concerned with vulnerable people, and we treat it with the protection it deserves, as set out in our approach to data protection and responsible AI.
Part of the build
Data work usually lives inside the web applications and platforms we build, with the tool that collects the data and the reporting that makes it useful built as a single thing, and where AI genuinely helps to make sense of large or messy data we use it, carefully.