Data: 99:99:99 – 99% of all information, 99% of all people, 99% of the time

Early this year, the US East coast was engulfed in a severe snowstorm, labelled as one of the biggest of the century. Services were mobilized, warnings were sent out and cities were on high-alert. Governments and corporates worked to minimize damages, while companies changed strategies to maintain a competitive advantage. So why the reference to weather? Its another example of the growing power of predictive analytics. So how relevant is predictive analytics to Travel? Well, apply this same scenario to a travel provider.  “Preventive” rather… Continue Reading →

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