How Amazon Uses Its Own Cloud to Process Vast, Multidimensional Datasets - DZone Big Data
A smart TV that knows which shows to record, an espresso coffee machine that raises an alert when it requires maintenance, a refrigerator that alerts you when the milk is out of stock - are all powered by data analytics. With the rapidly increasing demand to predict the future of markets and consumer behaviour - predictive analytics has become a necessity for retailers like Walmart, Amazon, eBay and Nordstrom.
According to a new report from EKN Research, 80% of e-commerce giants say that they lag behind Amazon in analytics maturity. Jeff Bezos and his team at Amazon have revolutionized online shopping for consumers over the last 17 years, with a revenue of $2 billion per year (including its supreme e-commerce and cloud computing services) to show for it. Below is a case study of how Amazon leverages Big Data analysis for its business. A similar case study on Walmart can be found here. Read the Walmart Big Data Analytics Case Study.
Seattle-based e-commerce giant Amazon, is leveraging big data on its 200 million customer accounts by hosting their 1,000,000,000 GB of data on more than 1,400,000 servers to increase sales through predictive analytics. Data is the lifeblood of Amazon, which it uses to ensure that it is doing something special for its customers through personalized recommendations, price optimization, targeted marketing and more. Big data analytics is the magic wand for Amazon that helps form loyal customer relationships in a fierce competitive world by leveraging personal data. The ability to use data and the right to innovate is the building block for Amazon's debut into Fortune 500 global retail empire.
"Data is Power" is the success mantra at Amazon. Just look at your Amazon homepage, it is never the same. Amazon tracks everything you do at the e-commerce website and app - to collect as much data as it can. A look at the "Account" section on Amazon will give an idea about the robust account management they have, to collect data from its customers. With various sections on the homepage like – "Inspired by Your Wish List," "Recommendations for You," "Inspired by Your Browsing History," "Related to Items You Have Viewed," "Customers Who Bought This Item Also Bought," Amazon is continuously tracking what their customers do - to provide them a personalized preeminent shopping experience.
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