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Business Analytics of Supply Chains in the Digital Economy

  • T. E. EvtodievaEmail author
  • D. V. Chernova
  • N. V. Ivanova
  • O. D. Protsenko
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 908)

Abstract

Within the conditions of economy digitalization, the intellectual and information potential of society as a main renewable resource ensuring sustainable progressive development is being used intensively, which can significantly increase the efficiency compared to the material production of industrial society and, as a result, has a significant impact on the dynamic development of economic relations between subjects. The need for high-qualitative and structured information is increasing if market participants are in the integrated interaction, in particular, are integrated into the supply chain, allowing for the planned movement of material flows from the place of production to places of consumption. These are required amounts of timely relevant information that ensure adequate management decisions. Information forms the basis that provides all management decisions in the field of supply chain logistics, contributes to its sustainable development and achieving goals. In this regard, it is necessary to consider the impact of change on the possibilities of analytics in supply chains in the digital economy. The purpose of the contribution is to determine the impact of digitalization on new and modified analytical capabilities in logistics supply chains and to assess the market evolution for business analytics in Russia. The main results of the contribution are identified directions for business analytics in logistics supply chains and determined growth prospects for business analytics in Russia.

Keywords

Business analytics Digital economy Digitalization Logistic integration Logistics Predictive analytics Supply chain 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • T. E. Evtodieva
    • 1
    Email author
  • D. V. Chernova
    • 1
  • N. V. Ivanova
    • 1
  • O. D. Protsenko
    • 2
  1. 1.Samara State University of EconomicsSamaraRussia
  2. 2.Russian Presidential Academy of National Economy and Public AdministrationMoscowRussia

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