大数据分析:以大方式影响业务

Neha Sharma, Deepali Sawai, Ganesh G Surve
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引用次数: 9

摘要

如今,大多数大数据用例都是分析客户行为、他们的购买模式、他们在社交媒体上表达的好恶。该业务在真实网站和社交媒体上通过业务的所有利益相关者以点击流的形式生成大量数据,从他们的移动设备和机器生成的数据中获取位置信息。关键要素是具有互联网的智能连接机器和用于数据捕获的先进传感器,自动化控制和软件应用。我们正在经历第三次革命,继工业革命、互联网革命之后,又迎来了以大数据为动力的互联网革命。因此,大数据系统是任何企业的下一个前沿领域。本文以手机行业、电子商务和在线保险销售为例,介绍了三个与大数据相关的案例研究。大数据分析引擎被提出用于识别、收集、存储和分析大数据,以实现业务的成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big data analytics: Impacting business in big way
Most of the Big Data use-cases today are analyzing customer behaviour, their buying patterns, their likes and dislikes as expressed in social media. The business generates profuse data in the form of clickstreams on authentic websites and social media by all the stakeholders of the business, location information from their mobile devices and machine-generated data. The key elements are Intelligent Connected Machines with Internet and advanced sensors for data capture, Controls for automation, and software applications. We are witnessing the third revolution, following industrial revolution, Internet revolution, and now, the Internet powered by Big Data. Therefore, Big Data systems is a next frontier for any business. In this paper, three case studies related to Big Data have been presented especially for cell phone industry, e-commerce and online insurance selling. Big Data Analysing Engine has been proposed to identify, collect, store and analyse big data for the success of the business.
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