The use and the future of big data analytics in supply chain management

• Autorzy: Zdrenka W.

Identyfikatory

DOI

10.21008/j.2083-4950.2017.7.2.3

• Języki publikacji: EN

Abstrakty

EN

Global computerization and informatization of enterprises, Internet popularization and fast growing number of mobile devices has caused the rapid growth of data generated by the society. There never was so much data in the whole humans history. Forecasts shows that in 5 years the growth rate of data being generated will increase by several times. From one side, easy-access to company’s economic environment and customers’ data enables better decision taking, but from the other side huge amount of data leads to the “information noise” which may be a cause of incorrect conclusions and finally wrong decisions. Due to this phenomenon, companies have faced completely new challenge – development of company’s competitive edge through the analysis of huge amount of unstructured and changing data bases – so-called “Big data”. Analysis that were difficult or even not possible to conduct couple years ago, today are supporting companies on every day basis thanks to Big data analysis.

Słowa kluczowe

EN

big data; supply chain management; e-commerce; logistics

• Wydawca: Publishing House of Poznan University of Technology
• Czasopismo: Research in Logistics & Production
• Rocznik: 2017
• Tom: Vol. 7, No. 2
• Strony: 91--102
• Opis fizyczny: Bibliogr. 19 poz., fig.

Twórcy

autor

Zdrenka W.

• Transport and Logistics Department, Poznan University of Economics, Poznan, al. Niepodległości 10, 61-875 Poznan, Poland

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).