Ati chritmsas will make safaricom go up up up! That is Phd material, ebu expound.

This year, they used cellphone-enabled tablets to collect data on food security and market prices. Such high frequency, real-time data has never been available before. It is already revolutionizing how policy makers can identify problems and bring timely solutions. As Marcelo Giugale of the World Bank puts it: High-frequency data has the potential to do “to economics what genetics did to medicine”.

Third, the explosion in mobile phone and internet
leaves behind ‘digital traces’ of human behavior
which can help to better understand development challenges. For example, recent research by Harvard scientists using Kenya data, published in Science last month, shows how mobile phone data (tracking people’s movements) can be used to trace the spread of malaria. By conducting such monitoring in real-time, officials could for example send text message warnings to people travelling in
high-risk areas and pre-position testing equipment and drugs. There are many other examples of such use of ‘big
data’ for economic, social and policy purposes.
Google has demonstrated how search data can predict dengue breakouts in Brazil, India and Indonesia by monitoring how people search for
dengue-related topics and symptoms. In
Indonesia, the UN Global Pulse and a research firm used Twitter data to monitor food prices with surprising accuracy, finding that the way people spoke about rice on Twitter could be correlated
with the actual market price of rice. As internet use in Africa, large amounts of digital traces
will be available and useful for monitoring and
tackling social problems also here.

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