Big Data Analytics in Supply Chain Ecosystems: Emerging Innovations and Strategic Pathways

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Implementing big data analytics can improve timely fulfillment rates from 85% to 93%, enhancing supply chain reliability.
Findings indicate predictive errors (MAPE) can be reduced from 18% to 11%, demonstrating improved forecasting capabilities.
The study combines literature synthesis with quantitative analysis of a global supply chain dataset to assess data effectiveness.
Strategic insights from this research may inform businesses on overcoming barriers to big data analytics adoption, like costs and skill gaps.

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The investigation demonstrates big data analytics improves predictive accuracy in supply chains, suggesting strategic pathways for implementation.

Barua et al. (2025) studied this question.

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The investigation demonstrates big data analytics improves predictive accuracy in supply chains, suggesting strategic pathways for implementation.