DFA has tools for SDG monitoring with built-in processes to help ensure no one is left behind.
Organize key indicators contained in the data warehouse into a conceptual framework to enable planners to compare scenarios based on programming decisions to focus on specific geographic areas and interventions within a given time frame and budget. Use data modelling to improve health outcomes (EQUIST), scale-up successful education policy strategies or develop domain specific scenarios to aid decision-making.
Analyze the multidimensional data patterns associated with overlapping risk indicators, such as poverty, education level, health status, flood-prone areas, earthquake zones, and other potential hazards. Generate risk indexes based on user-defined weights of indicators for analysis of interventions to mitigate risk in vulnerable areas.