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Graph for Good: Empowering your NGO

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May graph technology improve the deployment of humanitarian projects? The goal of using what we call “Graphs for good at Action Against Hunger” is to be more efficient and transparent, and this can have a crucial impact on people’s lives.

Is there common behaviour factors between different projects? Can elements of different resources or projects be related? For example, security incidents in a city could influence the way other projects run in there.

The explained use case data comes from a project called Kit For Autonomous Cash Transfer in Humanitarian Emergencies (KACHE) whose goal is to deploy electronic cash transfers in emergency situations when no suitable infrastructure is available.

It also offers the opportunity to track transactions in order to better recognize crisis-affected population behaviours, understanding goods distribution network to improve recommendations, identifying the role of culture in transactional patterns, as well as most required items for every place.

Published in: Data & Analytics
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Graph for Good: Empowering your NGO

  1. 1. Empower your NGO with Graph Technology Mario Bastande Data & CVA Manager mbastande@accioncontraelhambre.org
  2. 2. 1. Action Against Hunger Spain 2. Graphs for Good 3. Pilot project 4. Production project 5. Good practices and next steps
  3. 3. Data Manager/Scientists (MEAL+BA+ICT) Application users/executives Data Analysts HQ + BASES
  4. 4. • Knowledge management based on expertise • Many factors explaining a crucial issue • Decision making modelling • Qualitative Analysis • Users freedom
  5. 5. ETL ETL ETL: Extration + Transformation + Load
  6. 6. • Kit for Autonomous Cash E-Distributions • Well structured DDBB • Relations among transfers and people • Lebanon and Mali
  7. 7. But what about the rest of data in the organization?
  8. 8. • Weighing the relationships • Alert system • Predictions • Collaborative tool • Automatization • Other Analysis • Risks • Skylap • Depts. • Fraud • Advocacy
  9. 9. • Democratization of data/analysis • Only result focus • Funds and time • Lack of long-term vision • Digital/Data Security • Improve Decision-making • Accountability • Stakeholders
  10. 10. Mario Bastande mbastande@accioncontraelhambre.org THANKS!

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