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Data Driven Analytics: Prospects and Challenges

机译:数据驱动分析:前景和挑战

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Information generated by people and the gadgets today has gone from deficient to abundant which has increased the complexity of data. The challenge is how to elicitate, manage and organize this big data. The actual thing is to find out which data is important, what to keep and what to discard, and where to keep this enormous amount of data. The volume of data gets expanded when data is linked with other, resulting in data integration. Big data is still viewed as conventional data which is not sufficient. It should focus on what value the data can create into analytics rather than what technology it brings. Today due to digital convergence we have an opportunity and a challenge both to influence the creation to facilitate later linkage and to automatically link previously created data. This paper focuses on big data analytics, the challenges and opportunities it accelerates and how it could be magnified to base the analytics.
机译:今天人员和小工具产生的信息已经不足到丰富,这增加了数据的复杂性。 挑战是如何诱因,管理和组织这种大数据。 实际的事情是找出哪些数据很重要,可以保留什么以及丢弃什么,以及保持这种巨大的数据。 当数据与其他数据链接时,数据的卷会扩展,从而导致数据集成。 大数据仍被视为不够的传统数据。 它应该专注于数据可以创建到分析中的值,而不是它带来的技术。 今天,由于数字融合,我们有机会和挑战,以影响创作,以便于稍后联动并自动链接以前创建的数据。 本文重点介绍了大数据分析,它加速的挑战和机会以及如何放大以基于分析的方式。

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