Data for Good - Eradicating extreme poverty, hunger or malaria are all Sustainable Development Goals. To achieve these goals, our mission is to support development agencies and embedding analytics in their day-to-day work

Data for Good initiatives examples

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We have a wide catalogue of Data for Good use cases tackling different Sustainable Development Goals. Here are two inspiring ones.

Extreme hunger – preventing food crises

  • There are two ways to address a food crisis: reaction and prevention. Currently, the World Food Program (WFP) is preventing food crises by collecting field surveys in target geographies.
  • With the support of WFP and UN Global Pulse, we researched other means to effectively identify areas at risk of extreme hunger. We found a high correlation between voucher purchase patterns and several food security variables (e.g. expenditure on food, vegetable consumption).
  • The next step is to convince telecom operators to continuously share this anonymized data with WFP who will have systematic proxies for food security.

Would you like to know more? Read the paper

Extreme poverty – stimulating financial inclusion

  • Several studies show that poverty results from social and financial exclusion. In emerging markets, the unbanked represent a huge market opportunity that telecom operators capture with Mobile Financial Service products. These products contribute greatly to the country’s growth as well as increase banking outreach across all population fringes.
  • Yet, apart from a few success stories, most countries have poor adoption rates.
  • With the support of CGAP, we made several studies on MFS adoption factors, the hurdles in managing agents as well as the parameters to maximize campaign conversion rates.

Would you like to know more? Read the paper

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