Performance Report: Big Data for Family Planning - Nigeria Pilot Study

Sub Title
Pilot Study on a Data Workbench & Predictive Analytics for Family Planning Commodities
Authored on
February 23, 2021

In managing supply chains with 100s or 1000s of service delivery points (SDPs) and limited resources, there is a need to target resources. As such, there is a potential of using big data in a repeatable way to better target actions for more effective use of limited resources. In this case the team looked at combining supply chain, population, and family planning data to prioritize and target specific actions. Design of this approach used the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology. The data used was supply chain data for family planning commodities from Nigeria. The


February 23, 2021