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The four pillars of data analytics are data collection, data management, data analysis, and data visualization. Data collection involves gathering logistics information from sensors, transactions, and external feeds. Data management ensures quality, security, and accessibility through proper storage and governance. Data analysis applies statistical techniques and machine learning to extract insights from prepared datasets. Data visualization transforms findings into dashboards and reports that drive decision-making across logistics operations. Strengthening each pillar creates a robust analytics foundation that scales with organizational needs.<\/p>\n<\/p>\n