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E-commerce

Today’s e-commerce engines requires massive computing power.

The massively-parallel CPU architecture of the servers can be useful in many areas of commerce, such as immediate fraud detection (verifying a credit card on the spot, for example), or for getting an instant snapshot of customer sentiment from millions of social media messages.

E-commerce represents a large chunk of this digital universe — accumulating customers’ social media activity, geolocation services, web browser histories, and abandoned online shopping carts.

Although gathering consumer data is great, analyzing the data is what gives e-commerce companies a distinct advantage. E-commerce companies leveraging big data analytics can understand their customers’ purchasing behavior in the context of current market trends. In turn, these companies tailor their marketing directly to customer preferences, create new products that meet customer needs, and ensure that employees provide the level of service customers expect.

Clearly, big data can have a significant effect on e-commerce. 

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