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Identification of big data opportunities and challenges in statistics Indonesia

机译:识别印尼统计中的大数据机遇和挑战

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Statistics Indonesia is in charge of doing government duties in the field of statistics. Censuses, surveys and compilation of statistical data have been being done. In some cases, survey environment is getting worse and statistical activities work less efficient. In other hand, a phenomenon called big data arises and many researches learn how to extract big data value. In this paper, researcher identified that big data can be combined in statistical methodology as a part of data source. Researcher identified in three surveys consists of Consumer Price Survey, Business Tendency Survey and Data Satisfaction Survey. In these surveys, researcher found that big data could give opportunities in generating statistical data. Making online submission system, information extraction system, sentiment analysis, and establishing legal cooperation with private sector are some ways to get opportunities delivered by big data. Nevertheless, big data also offer many challenges when combined in statistical methodology. Researcher identified big data challenges come from each stage of statistical methodology. Challenges also come from legislation, security and privacy, storage, processing and data access, skill requirement, and financial.
机译:印尼统计局负责在统计领域履行政府职责。已经进行了人口普查,调查和统计数据汇编。在某些情况下,调查环境变得越来越差,统计活动的效率降低。另一方面,出现了一种称为大数据的现象,并且许多研究学习了如何提取大数据价值。在本文中,研究人员确定大数据可以作为数据源的一部分与统计方法相结合。在三项调查中确定的研究员包括消费者价格调查,业务趋势调查和数据满意度调查。在这些调查中,研究人员发现大数据可以为生成统计数据提供机会。建立在线提交系统,信息提取系统,情感分析以及与私营部门建立法律合作是获得大数据带来的机会的一些方法。但是,将大数据与统计方法结合使用时,也带来了许多挑战。研究人员确定大数据挑战来自统计方法论的每个阶段。挑战还来自立法,安全和隐私,存储,处理和数据访问,技能要求以及财务。

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