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Imagine you are a data scientist working for a leading e-commerce company that wants to enhance its decision-making processes through the implementation of real-time analytics.
Imagine you are a data scientist working for a leading e-commerce company that wants to enhance its decision-making processes through the implementation of real-time analytics. The company aims to leverage real-time data to improve customer experience, optimize inventory management, and enhance overall operational efficiency. Outline a comprehensive strategy for the implementation of real-time analytics in the e-commerce environment. Consider the following aspects: 1. Identify specific use cases where real-time analytics can add significant value to the ecommerce business. (Explain one use case in detail) 2. Explain the benefits and expected outcomes for the identified use case. 3. Identify and list the tools, platforms, and technologies that support real-time data processing and analytic
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