Hidden in the noise of big data are weak signals. Often unnoticed, companies and marketers tend to ignore those signals, while trying to make sense of big data. While being the scout of the coming change, wrong validation of weak signals can take the company in the wrong direction. How do you capture those weak signals in the region and across the globe? How to overcome internal biases in ignoring certain types of weak signals?