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Putting data to productive use

机译:将数据投入生产

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摘要

We have all read and heard the stories in the media, including mainstream business publications such as The Wall Street Journal and The New York Times, about how "big data" is transforming business, saving money for companies, and finding them new revenue opportunities, all through insights gleaned from data. So we have all heard the term big data, but what does it actually mean? No longer just the realm of Google, Facebook, and Amazon, big data is the new norm for enterprise analytics and is pervasive across many industries: drug discoveries enabled by genomic research, real-time consumer sentiment, and social interaction for retail represent a small sample of business innovation derived from big data technologies and analytics. Whether it is fine-tuning supply chains, monitoring shop floor operations, gauging consumer sentiment, or any number of other large-scale analytic challenges, big data promises to make a tremendous impact on the manufacturing enterprise.
机译:我们都已经阅读并听到了媒体上的故事,包括《华尔街日报》和《纽约时报》等主流商业出版物,它们讲述了“大数据”如何改变业务,为公司节省资金并为他们找到新的收入机会,所有这些都是通过从数据中收集的见解来实现的。因此,我们都听说过大数据一词,但这实际上意味着什么?大数据不再只是Google,Facebook和Amazon的领域,而是企业分析的新规范,并且遍及许多行业:通过基因组研究,实时消费者情绪以及零售业的社会互动实现的药物发现仅占很小的比例来自大数据技术和分析的业务创新样本。无论是微调供应链,监控车间运作,衡量消费者情绪还是其他任何大规模的分析挑战,大数据都有望对制造企业产生巨大影响。

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