Tailoring data that make a difference
There are many new approaches of harnessing data and information. However, the novelty is not how much data a methodology can capture, but how relevant patterns can be detected in order to increase production once that data are captured. Developers of data aggregation systems should therefore tailor their methodology as one that can “close” the feedback loop, such that as much data are received as input, there are as many ways of using that data for equivalent production that can drive additional design innovations of new technologies.
An interesting article that share these views in The Economist




Nairobi, Kenya [01.2010]

