This whitepaper explains how unified retail commerce depends on a solid data foundation that centralizes customer, inventory, marketing, and supply chain data to enable real-time decisions, personalization, and seamless omnichannel experiences. Traditional data warehouses lack flexibility and speed, while unmanaged data lakes become “data swamps” without governance or real-time analytics. It positions Databricks Delta Lake lakehouse as the answer, combining scalable storage, governance, and streaming analytics with ML, computer vision, and NLP. It outlines key implementation steps and a logistics case study showing faster ETL, lower licensing costs, and higher ROI.

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