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Netflix shows us that knowing exactly what customers want is easy to understand if the companies just don’t go with the assumptions and make decisions based on Big Data.
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The company’s data structure includes Hadoop, Hive and Pig with much other traditional business intelligence. Netflix’s recommendation engines and new content decisions are fed by data points such as what titles customers watch, how often playback stopped, ratings are given, etc. Unsurprisingly, this strategy has been firmly driven by data. More recently, Netflix started positioning itself as a content creator, not just a distribution method. As such, Big Data analytics is the fuel that fires the ‘recommendation engine’ designed to serve this purpose. Netflix has been determined to be able to predict what exactly its customers will enjoy watching with Big Data. It is the most loved American entertainment company specializing in online on-demand streaming video for its customers. Machine learning algorithms are considered to determine where the demand is strong. In the short term, surge pricing affects the rate of demand, while long term use could be the key to retaining or losing customers.
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For instance, if you are running late for an appointment and you book a cab in a crowded place then you must be ready to pay twice the amount.įor example, On New Year’s Eve, the price for driving for one mile can go from 200 to 1000. Therefore one of Uber’s biggest uses of data is surge pricing. Uber focuses on the supply and demand of the services due to which the prices of the services provided changes. It uses the personal data of the user to closely monitor which features of the service are mostly used, to analyze usage patterns and to determine where the services should be more focused. Uber is the first choice for people around the world when they think of moving people and making deliveries.
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Hadoop and NoSQL technologies are used to provide internal customers with access to real-time data collected from different sources and centralized for effective use. The main objective of holding big data at Walmart is to optimize the shopping experience of customers when they are in a Walmart store.īig data solutions at Walmart are developed with the intent of redesigning global websites and building innovative applications to customize the shopping experience for customers whilst increasing logistics efficiency. It has been speeding along big data analysis to provide best-in-class e-commerce technologies with a motive to deliver superior customer experience. WalMart by applying effective Data Mining has increased its conversion rate of customers. Walmart uses Data Mining to discover patterns that can be used to provide product recommendations to the user, based on which products were brought together. It started making use of big data analytics much before the word Big Data came into the picture. Walmart is the largest retailer in the world and the world’s largest company by revenue, with more than 2 million employees and 20000 stores in 28 countries. Stay updated with latest technology trends