• DocumentCode
    228943
  • Title

    Identification of big data opportunities and challenges in statistics Indonesia

  • Author

    Mariyah, Siti

  • Author_Institution
    Sch. of Electr. Eng. & Inf., Inst. Teknol. Bandung, Bandung, Indonesia
  • fYear
    2014
  • fDate
    24-25 Sept. 2014
  • Firstpage
    32
  • Lastpage
    36
  • Abstract
    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.
  • Keywords
    Big Data; government data processing; statistical analysis; Statistics Indonesia; big data opportunities; business tendency survey; consumer price survey; data access; data processing; data satisfaction survey; data source; government duties; information extraction system; legal cooperation; online submission system; private sector; sentiment analysis; skill requirement; statistical data; statistical methodology; survey environment; Companies; Data mining; Digital video broadcasting; Media; Presses; Statistical analysis; Statistics Indonesia; big data; statistical data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICT For Smart Society (ICISS), 2014 International Conference on
  • Conference_Location
    Bandung
  • Type

    conf

  • DOI
    10.1109/ICTSS.2014.7013148
  • Filename
    7013148