This paper argues that supply chains are being overwhelmed by rapid data growth from many sources, and that simply capturing more data without an enterprise strategy increases complexity, cost, compliance risk, and the chance of misleading insights. It recommends simplifying and standardizing data through an enterprise data management, warehousing, and analytics strategy that unifies siloed systems into a single source of truth, enables self-service analytics and operational agility, and aligns data initiatives to business goals. It highlights emerging technologies that can help when guided by strong data foundations, including machine learning for gap detection and inefficiency reduction, IoT for sensor-driven real-time signals and predictive analytics, and blockchain to automate trust an

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