Modelling and Analytics for Improved Provisioning

Now a multi award winning project, the principle objective of The Big SHIFT (Services and Hospices Impacting Fundraising Teams) was to understand and model how the provision of Marie Curie’s services on the ground affects localised fundraising performance.

In addition to Open Source and charity pool data for advanced predictive modelling and mapping techniques, Marie Curie provided detailed financial data at a very low geographic area and we provided data from our unique data universe, to enable us analyse, in detail, to create a baseline case i.e. what income should look like compared to other charities if Marie Curie did not have the local geographic influencers (shops, hospices etc). We created models that were built for individual giving, legacies and local fundraising. These were iterated over time to provide the optimal solution. The final models were then examined in detail compared to the actual giving in each area and the differences minimised. These subsequent models can then be used to understand and explain the impact of localised factors.

See how our data quality improvements and modelling have enabled Marie Curie to, for the first time, directly relate their fundraising support on the ground to the spatial distribution of the charity’s service provision.