Credit Suisse is supporting Street League to take its data strategy to the next level.

At Street League we collect a LOT of data and it’s constantly informing how we work and what we do. We use this to data help us understand who we’re supporting and how. We use it regularly across the organisation. It goes to our trustees to support good governance, we share it with staff in a format that lets them see how they’re doing and with management to highlight areas for improvement and good practice. Like other charities, we also use it to demonstrate the impact of the work we do to funders and partners.

We aim to be as evidence-based and transparent about our data as possible – our successes and what we’re getting wrong. We think this level of accountability is important and with the #CallForClarity campaign we hoped to kick off a year-round conversation with other charities and our partners. We’ve loved learning from other organisations and sectors to develop our approach.

Our journey to greater transparency

As part of this journey, we realised that a key thing we wanted to change was to move away from the ‘annual report’ – sharing just once a year how we’d done. So, in November 2017 we launched the charity sector’s first online impact dashboard. It pulls data from our database, Hanlon, and lets people see how we’re doing all year-round.

With support from Credit Suisse, we are taking another step forward. Credit Suisse EMEA Foundation seeks to improve the educational attainment, employability and aspirations of disadvantaged young people. 

'DataDive' weekend to develop predictive modelling tool

Over 48 hours (13 - 14 July), a team of data scientists in partnership with DataKind UK, we are developing a tool that our delivery staff can use to better prioritise and identify what support a young person needs. This means that from the moment a young person says ‘hello’, our staff are better informed to support their journey with us. Leveraging the data we’ve collected over the past five years (and some very clever coding capabilities) our Data and Insight team is building an algorithm. It will help identify and predict the elements of our programme delivery that are key to success and how they affect each young person, depending on their profile (age, geography, education, gender, etc).

We are excited about the potential for this work and hugely grateful to Credit Suisse, DataKind UK and the volunteers who are supporting us. We know that no amount of data or technology could ever replace the compassion and experience of our highly skilled staff. However, we hope that it can complement them and help us identify improvements we can make at a local and even individual level.

A young person's journey at Street League