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
Link To Document