Abstract
Data-driven decision-making has become a critical strategy for e-commerce businesses in the digital age. By leveraging data and analytics, e-commerce companies can gain valuable insights into customer behavior, optimize product offerings, personalize marketing campaigns, and streamline operations. This paper explores the key components of the data-driven decision-making landscape in e-commerce, highlighting the importance of customer insights, product optimization, personalized marketing, and inventory management. It also addresses the challenges organizations face when transitioning to a data-driven culture and provides a framework for successfully navigating this landscape to drive growth and stay competitive.
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