This study provides a tool to logistics providers for navigating their journey towards an information-driven business.
Big Data Analytics is surely one of the most influencing current trends in the world of information management. However, unlike many other topics that have shaken the IT industry in the past, it is not primarily driven by a discussion on technology. Admittedly, disruptive technology approaches propel the performance of data processing to a new order of magnitude. But first and foremost, Big Data Analytics is about leveraging extensive information assets in order to enhance business process performance or to even create entirely new business models. Consequently, fully understanding Big Data always means to look at it in front of a particular business context.
In this respect, the logistics industry is a promising target for applying Big Data techniques as it heavily relies on extensive information flows. A timely and accurate delivery can only be assured if data travels ahead of every single shipment. On a global scale, the tracing of goods from origin to destination creates an enormous data set that fuels a variety of valuable Big Data use cases.
With the paper in hand T-systems is proud to present a comprehensive analysis of Big Data applications along the logistics value chain. We elaborate a series of use cases that help to increase the efficiency of logistics operations or that enhance customer experience and loyalty. Moreover, opportunitities for logistics providers--to capitalize on their own information assets and to deploy innovative business models--are discussed. Spotlights on successful real-world applications show what Big Data can achieve in logistics environments today.
In summary, the study provides a tool to logistics providers for navigating their journey towards an information-driven business. It has been jointly developed with the Solutions & Innovation department at Deutsche Post DHL and with experts from Detecon Consulting. The research team has combined world-class experience from both the logistics domain and the information management domain.