SUPPLY CHAIN TECHNOLOGY
and micro-datasets with enterprise data lakes, enabling more contextual insights. Machine learning models can now process this combination of structured and unstructured data to generate increasingly accurate predictions.
Arun adds:“ The future will see more sophisticated pattern recognition across diverse data types, enabling supply chain professionals to anticipate market changes, optimise operations and respond to disruptions with unprecedented precision and speed.”
Gaining a competitive advantage The transformation of data from business by-product to strategic asset represents one of the most significant developments in modern-day supply chain management. But, as organisations navigate the evolution, success will depend on developing robust governance frameworks that ensure information quality, consistency, security and trustworthiness.
Companies that master the balance – leveraging big data’ s predictive power while maintaining rigorous data governance – stand to gain a competitive advantage in a complex marketplace.
The question is no longer whether to embrace big data in supply chain management, but how quickly and effectively organisations can transform their operations to harness its full potential.
188 October 2025