Trump’s Shocking Win Could Have Been Simply Measured
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Worldwide, many people were shocked by the outcome of the U.S. presidential election of 2016. It’s been just over one full year since Trump’s electoral win and, although the race between Trump and Clinton was close, many of the electoral polls forecasted Clinton as the likely winner of the 2016 election (Perez, 2016). While the outcome of said election left many data scientists confused, many social media analytics firms are claiming that their measurements would have been a much better predictor (Perez, 2016).
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We all have a story to tell. It could be one of personal hope, sacrifice, mentorship or despair. Others could be told from numbers or raw data – the stuff that drives work and project results. As social media becomes a more popular medium of communication and an avenue for influence and story telling, it’s the metrics that tell a bigger story and help to validate the hard work of a communications department.
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DB Schenker supports industry and trade in the global exchange of goods: in land transport, worldwide air and ocean freight, contract logistics and supply chain management.1 Globally they employ over 66,000 employees at over 2000 locations. Their Canadian operations account for over 1600 employees at over 40 locations. Roughly 3 years ago, DB Schenker started to utilize social media as part of their marketing strategy.
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