Measuring the pulse of Africa one phone call at a time

In urban Tanzania, sick people wait on average for 76 minutes at a health facility before seeing a qualified medical professional.

In September 2014, 82 percent of households in Lome (Togo) felt that the frequency of power outages decreased compared to the previous six months (March 2014).
In the data-driven world of policy making, such statistics discerned from surveys can help policy makers analyze and fine tune policies on the go to serve their citizens better. Timely surveys prove to be an effective way to analyze the performance of a government and development programs.
And household surveys that measure socioeconomic indicators are critical for monitoring welfare and progress as we march toward the goals of reducing extreme poverty and enhancing shared prosperity. There is a clear need for faster, cheaper ways to collect, lighter, more nimble data and address data gaps between big surveys.

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