The CEO and executive team can now - without needing to be data scientists - understand and action - as well as educate external funders, advocates and suppliers to ensure that food is getting to those in greatest need.
Foodbank Victoria wanted to ensure that the food they receive goes to those in most need. Victoria is large, diverse, and food insecurity varies from location to location. Foodbank Victoria needed intelligent analytics to target areas in most need - now and in the future.
Notitia identified the need to leverage data outside of Foodbank Victoria. Notitia blended various datasets to provide granular, postcode level information about food insecurity. These included ABS, ATO, SEIFA and other public sources. We blended this data with internal Foodbank Victoria data. Through rapid, agile development, and collaboration with subject matter experts, we delivered a bespoke solution.
The CEO and executive team can now - without needing to be data scientists - understand and action - as well as educate external funders, advocates and suppliers to ensure that food is getting to those in greatest need. These insights are provided to the executive team through an interactive dashboard which included: What-if scenario analysis, Historical growth by postcode, Customisable traffic-light alerting, Any geographic overlay (state, electoral boundaries, LGA, postcodes, custom catchment zones), Modelling of the impact of positioning future distribution hubs.
The location of distribution centres is key to this analysis. Using analytics, we determined which postcodes, public schools, community centres are within the catchment zone of each warehouse.
Notitia leveraged the open source statistical tool, R, in order to calculate complex analytics. The outputs of these analytics were served up to Qlik to analyse and visualise this information in
order to give Foodbank a complete picture of demand in Victoria. The output is a super interactive what-if analysis map with drill down to the catchment areas around future warehouses.
