BIG DATA IN LOGISTICS - A DHL Perspective on How to Move Beyond the Hype

This trend report starts with an introduction to the concept and meaning of Big Data, provides examples drawn from many different industries, and then presents logistics use cases.

Big Data and logistics are made for each other, and today the logistics industry is positioning itself to put this wealth of information to better use.

The potential for Big Data in the logistics industry has already been highlighted in the acclaimed ‘DHL Logistics Trend Radar’. This overarching
study is a dynamic, living document designed to help organizations derive new strategies and develop more powerful projects and innovations.

To sharpen the focus, the trend report you are reading now asks the key Big Data questions:

  • How can we move from a deep well of data to deep exploitation?
  • How can we use information to improve operational efficiency and customer experience, and create useful new business models?

Big Data is a relatively untapped asset that companies can exploit once they adopt a shift of mindset and apply the right drilling techniques.

It also goes way beyond the buzz words to offer real-world use cases, revealing what’s happening now, and what’s likely to happen in the future.

This trend report starts with an introduction to the concept and meaning of Big Data, provides examples drawn from many different industries, and then presents logistics use cases.


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