top of page

BIG DATA ANALYTICS IN SUPPLY CHAIN

Updated: Nov 26, 2018


The amount of available data has rapidly grown in recent years as a result of the globalization of the world's economy and was further encouraged by the ubiquity of the internet, social media networks and mobile devices. The amount of data is currently doubling in volume every two years and is expected to account for 40 trillion GB by 2020. The continuously growing amount of available data has accelerated the emergence of numerous business intelligence applications that are summarized under the term Big Data Analytics (BDA). Accelerators of data volume growth include, inter alia, the internet of things (IoT), sensor technology enabled tracking, cloud computing, social media feeds and computerized mobile devices.


All functions from “source to sell” will be affected, initiatives of BDA in SCM. The following are critical concern areas for BDA implementation:

  1. Transition of the traditional role of SCM within organizations will increase the importance of human expertise and strategic decision-making.

  2. Increasing dynamics in the business environment of SCM rang in a new age of volatility and complexity.

  3. SCs need to be aligned with changing customer preferences to enable the provision of sustainable and individual products and logistics services.

  4. Digitization of operations in production, warehousing and transport logistics intensifies the digital transformation of SCM.

  5. Various disruptive technologies and trans-formative business model innovations are on the rise with the potential to reshape entire supply ecosystems.