Amazon: Using Big Data to understand customers


By using the model of “everything under one roof.”, Amazon has been a huge success. Nonetheless, while facing such a selection of choices, consumers may have the feeling of confusion. These thus become full of data, with quite a few choices, without insight, with little knowledge about what would be the best decision to buy things. With an eye to combating it, Big Data gathered from customers are used by Amazon as they manage to tune its suggestion search engine. When Amazon gets to know you more, what you want to buy will be predicted more. Besides, once the retailer has the knowledge of what you might fall for, it will upload the process of talking you into buying it.  For instance, by suggesting a variety of products rather than making you go through all the catalogue.

​As we can know from the above, too many choices and such little guidance can bedazzle consumers and put them off making buying choices. Suggestion engines make the task of predicting what a customer wants simpler, by filtering them and decide what they want. This way, developing a panorama of your customers because individuals are the base of marketing and customer service based on big data.

Big data indeed are considerably rich is a source which we can use to mine into customer’s mind.  With the strategies mentioned above, a business can be extremely successful utilizing the big data collected by other bases.

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