SURVEY ON BIG DATA ANALYTICS IN PUBLIC SECTOR OF RUSSIAN FEDERATION

被引:10
|
作者
Anna, Kuraeva [1 ]
Nikolay, Kazantsev [1 ]
机构
[1] NRU Higher Sch econ, Moscow 105187, Russia
关键词
big data; public sector of Russian Federation; sanctions; software and hardware import substitution;
D O I
10.1016/j.procs.2015.07.144
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Everyone is talking about big data, and how it will transform government. However, looking past the excitement, questions abound. How to use big data to make intelligent decisions? Perhaps most importantly, what value will it really deliver to the government and the citizenry it serves to? By reviewing the literature and summarizing insights from a series of business reports and interviews of public sector and top companies Chief Information Officers (CIOs), we offer a survey for both practitioners and researchers interested in understanding big data in the public sector of Russian Federation. Remarkable changes are taking place in IT industry of Russian Federation at present: new strategies of Federal Government, sanctions and import substitution tendency. The paper makes the estimate of internal and external factors, which effect on big data development in public sector of Russian Federation and makes comparative analysis of Russian and world practices of the study area. (C) 2015 Published by Elsevier B.V.
引用
收藏
页码:905 / 911
页数:7
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