Unlocking Value: How Analytics and Big Data Strengthen the Supply Chain
DOI:
https://doi.org/10.62407/rciya.v3i3.158Keywords:
Data, Technology, supply chain, Innovation, TransformationAbstract
Analytics and big data are essential tools for supply chains in today’s environment, where quality data is indispensable. Through its stages, analytics provides a comprehensive approach to optimizing the supply chain: with descriptive analytics, companies can discover what is happening in the supply chain, obtaining appropriate visualizations to make data-driven decisions; diagnostic analytics investigates why something has happened, identifying the root cause of problems and uncovering opportunities for improvement; predictive analytics is key to supporting the future of the supply chain by determining “what will happen”; and prescriptive analytics provides optimal solutions to integrate into the chain to maximize its surplus and support strategic alignment. This essay addresses the value that analytics and big data bring to supply chains, exploring the analytical perspective through the SCOR model (Supply Chain Operations Reference), data quality and visualization, and their successful application for hyperpersonalizing the customer experience and the sustainable transformation of supply chains. The cases of Amazon, Coda Coffee, and Bext360 are used as examples of the proper use of analytics supported by technology such as machine vision, sensors, artificial intelligence, and blockchain. In this way, analytics is presented as an indispensable resource in a complex business environment, translating data into informed decisions, revolutionizing traditional practices, and shaping a sustainable future.
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