appened with good effect, on the whole, it seems that the Qlik aggregated view app doesn’t support such outcomes in a meaningful way. However, this may be due to the strategic use case of a self-service product being less clear. As such, it seems that more in-depth analysis of TFD data via support from the Insight Bristol team has been a more appropriate solution. In turn, it remains to be seen whether or not a self-serve product, can independently meet the needs of leaders tasked with making commissioning or strategic decisions. We found aspects of the risk models more problematic. Although the CCE and CSE models were regarded as useful initially in supporting operational decision-making, following a change of ownership and, in turn, how these models were built – using only Police data, practitioners found them inaccurate to the point of being unusable. So much so, that these models have since been decommissioned. However, we also note the aspiration of this work and the innovation it represents in terms of driving change in a complex work area where practitioners lack insight to be able to be make timely and targeted interventions. The NEET model is regarded as more accurate and seen as “useful” by some in terms of identifying at risk students who may otherwise go “under the radar.” Social Finance Limited +44 (0) 20 7770 6836 87 Vauxhall Walk, London SE11 5HJ socialfinance.org.uk 71 In terms of use of the TFD and TFE, whilst many practitioners regularly use these and enjoy the above benefits, a significant number of others still do not. This seems to be driven by a lack of awareness, access to training, and preference for other options for sourcing data; as well as the perception of both products being relevant for certain types of tasks and roles more than others. Th