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The Role of Data Analytics in Reducing Supply Chain Disruptions

Year: 2025

Type: article

Abstract: This study explores how data analytics can ease supply chain disruptions by emphasizing data-drivenstrategies to enhance resilience and efficiency. It delves into descriptive, predictive, and prescriptiveanalytics for spotting risks, forecasting disruptions, and optimizing processes. By examining real-life casestudies of leading companies, the paper highlights the tangible benefits of improved visibility andproactive decision-making. Practical recommendations are offered to guide organizations in harnessing thepower of data analytics, ensuring continuity and agility in supply chain operations, ultimately allowingbusinesses to thrive even in challenging times.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15204313

Author: Abhishek Dapse, Prof. Swati Uparkar

Language: English

Topic: Supply Chain Resilience and Risk Management

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6949448221

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