基于主要数据分析的消费者知识开发

Q3 Engineering
Justas Gribovskis
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引用次数: 0

摘要

[立陶宛文全文和摘要;本文讨论了大数据与新知识互动的相关问题。从大数据分析中开发新知识受到了极大的关注。本文的研究范围包括立陶宛最大的电信公司,这些公司在其业务环境中收集、处理和调整大量数据。这种与用户相关的新知识来源于大数据分析,在当今竞争激烈的环境中发挥着非常重要的作用。研究表明,公司收集和处理大数据是为了尽可能多地了解他们的客户(用户)。如果没有大数据分析和从中获得的新知识,今天的营销是不可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Su vartotoju susijusių žinių kūrimas, paremtas didžiųjų duomenų analitika
[full article and abstract in Lithuanian; abstract in English] This article discusses the issues related to the interaction between big data and the new knowledge. A great deal of attention is paid to the development of new knowledge from big data analytics. The research scope of this article encompasses the largest telecommunications companies in Lithuania, which collect, process and adapt large amounts of data in their business environment. This new knowledge is related to the user and derives from the big data analysis, and it plays a very important role in today’s competitive environment. The study reveals that companies collect and process big data in order to get to know their customers (users) as much as possible. Today’s marketing would be impossible without big data analytics and the new knowledge gained from it.
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来源期刊
Informacijos Mokslai
Informacijos Mokslai Engineering-Media Technology
CiteScore
0.20
自引率
0.00%
发文量
0
审稿时长
12 weeks
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