6 Reasons Why You Need to Use a Big Data E-commerce System
E-commerce grows rapidly and creates a lot of data. Without processing, this information is useless. Big Data analytics is an important instrument that allows solving many issues of the industry and provides a lot of different benefits. But are there any disadvantages? What is the role of Big Data in e-commerce? What company is the greatest Big Data analytics vendor? Let's discuss.
Use of Big Data in e-commerce to solve common problems
Over the last several years, income from the goods sold via the Internet has doubled. For example, more than 300 million active users visited Amazon in 2015, but only in September 2017, there were 183 million people. We can see the same processes on such websites like eBay, PayPal, etc. As a result, users create a huge amount of data. The process is simple: the more users are on the websites, the more information they create. So, here it’s necessary to make a decision. Either you ignore this issue or use all the data to advance your business approach. So, if you choose the second variant, there are some pros of Big Data in the e-commerce sphere:
Trend predictions. Special systems pull data from all social media and browsers and, as ...
Read More on Datafloq
Use of Big Data in e-commerce to solve common problems
Over the last several years, income from the goods sold via the Internet has doubled. For example, more than 300 million active users visited Amazon in 2015, but only in September 2017, there were 183 million people. We can see the same processes on such websites like eBay, PayPal, etc. As a result, users create a huge amount of data. The process is simple: the more users are on the websites, the more information they create. So, here it’s necessary to make a decision. Either you ignore this issue or use all the data to advance your business approach. So, if you choose the second variant, there are some pros of Big Data in the e-commerce sphere:
Trend predictions. Special systems pull data from all social media and browsers and, as ...
Read More on Datafloq
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