Data Analytics in the Logistics Sector - In the slipstream or the fast lane?
Publisher:
PricewaterhouseCoopers GmbH Wirtschaftsprüfungsgesellschaft

A practical overview of how logistics operators can move from reactive reporting to strategic data-driven decision-making.
Survey data showing adoption gap: majority of logistics operators remain reactive rather than strategic
Three critical barriers preventing full use of business intelligence systems identified
Specific opportunity areas: fleet optimization, customer retention, and demand forecasting
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Year:
2015
Language:
English
Pages:
8
File Format:
Abstract
Increasing digitisation brings both challenges and great opportunities for our economy and society. New, dynamic markets are emerging, while existing ones are disappearing or are being fundamentally transformed by new market players. Companies need to adapt their business models, and consumers are ratcheting their individual demands ever
higher. These developments are changing companies in every respect, because they not only affect their production and sales departments, but also their support processes – for example, in the HR, controlling or accounting departments.
Information is generated, processed and brought together by a multitude of systems in different company functions. Large quantities of data of all kinds are generated – with increasing speed. Modern technologies make it possible to evaluate these data in real time and analyse them in relation to issues relevant for decision-making.
In our survey of managers from 200 German and European logistics companies, we investigated how the logistics sector is positioned in relation to the issue of data analytics and how the use of business intelligence (BI) and Big Data will affect its actions in the next two years.