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What is Data Quality in Supply Chain Analytics about?

This document introduces the problem of data quality for data science, predictive analytics, and big data applications in supply chain management. Poor quality data can negatively impact business decisions and lead to significant losses. While data-driven approaches are increasingly important in supply chain management, the value of the insights generated is only as good as the underlying data. The document advocates for the importance of addressing data quality in supply chain research and applications. It

Author

Callum Bromley

Language

EN