Big-Data Applications in the Government Sector

被引:363
作者
Kim, Gang-Hoon [1 ]
Trimi, Silvana [2 ]
Chung, Ji-Hyong [1 ]
机构
[1] Elect & Telecommun Res Inst, Creat Future Res Lab, Taejon 305606, South Korea
[2] Univ Nebraska Lincoln, Coll Business Adm, Lincoln, NE USA
关键词
D O I
10.1145/2500873
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Businesses, governments, and the research community can all derive value from the massive amounts of digital data they collect. Analyzing big-data application projects by governments offers guidance for follower countries for their own future big-data initiatives. Decision making in government usually takes much longer and is conducted through consultation and mutual consent of a large number of diverse actors, including officials, interest groups, and ordinary citizens. Governments deal not only with general issues of big-data integration from multiple sources and in different formats and cost but also with some special challenges. The biggest is collecting data; governments have difficulty, as the data not only comes from multiple channels but from different sources. Most governments operating or planning big-data projects need to take a step-by-step approach for setting the right goals and realistic expectations. Success depends on their ability to integrate and analyze information, develop supporting systems, and support decision making through analytics.
引用
收藏
页码:78 / 85
页数:8
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