Big Data Analytics in Supply Chain Management

This study examines the impact of Big Data Analytics (BDA) on supply chain performance among companies in Delhi NCR. Drawing on recent theory and practice, we conducted a quantitative survey of 55 supply chain professionals across logistics, manufacturing, retail and other sectors between April and June 2025. Respondents rated their firm’s BDA adoption and supply chain performance (e.g. agility, cost efficiency, service levels) on established Likert scales. Data analysis included descriptive statistics and multiple regression. Results indicate a statistically significant positive relationship: higher BDA usage was associated with better overall supply chain performance. In other words, firms effectively deploying analytics reported more agile, reliable and cost-efficient supply chain operations. These findings align with prior research that Big Data–driven decision-making improves operational outcomes. Key recommendations for managers include investing in analytics infrastructure and talent, aligning analytics initiatives with strategic goals, and managing organizational change. This thesis contributes new empirical evidence (N=55) from the Indian context to the literature on BDA in SCM, and suggests avenues for future longitudinal and sector-specific studies.