Analysis on Difficulties and Measures of the Age of Big Data Brings to the Enterprise Competitive Intelligence

Chen Wei; Ran Ma; Xiao Di Wang

doi:10.4028/www.scientific.net/AMR.1030-1032.1886

Paper Titles

Vehicle Detection Using Fusion of LIDAR and Video
p.1868

Virtual Reality Technology in the Application of Tibetan Architectural Heritage and Protection Research
p.1873

University Data Center Security System Design
p.1877

Mini-Language for Effective Definition of the Color Gradients
p.1882

Analysis on Difficulties and Measures of the Age of Big Data Brings to the Enterprise Competitive Intelligence
p.1886

Basic Technology of OLAP
p.1892

Brief Introduction of the Application of Hard Disk Recovery Cards to Public Computer Lab Management in Higher Vocational Schools
p.1896

Design and Realization of a Distributed Big Data Management System
p.1900

Exception Throwing Analysis and Exception Handling Method for BPEL
p.1905

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1030-1032Analysis on Difficulties and Measures of the Age...

Analysis on Difficulties and Measures of the Age of Big Data Brings to the Enterprise Competitive Intelligence

Abstract:

As IDC predicts, the global data size stored in electronic form will boost 44 times and reach 35ZB in 2020. The era of big data has come quietly, and it brings fundamental reform of data usage mode to every industry. This paper states from the definition and feature of big data. Then, the paper finds out the benefit for enterprises’ competitive intelligence brought by big data as well as some difficulties, including intelligence storage, intelligence security, intelligence analysis, shortage of talents, etc.. Finally, in view of these difficulties, the paper proposes countermeasures for the enterprises.

You might also be interested in these eBooks

Materials, Transportation and Environmental Engineering II

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 1030-1032)

Pages:

1886-1891

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1030-1032.1886

Citation:

Cite this paper

Online since:

September 2014

Authors:

Chen Wei*, Ran Ma, Xiao Di Wang

Keywords:

Big Data, Competitive Intelligence, Enterprises

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Big data: The next frontier for innovation, competition and productivity [R]. McKinsey Global Institute, (2011).

Google Scholar

[2] Philip Russom. Big data analytics[EB/OL]. http: / www. Docin. Com/p-340502098. htm.

Google Scholar

[3] Dan B. Big Data = Mass Data + Complex Type of Data [EB/OL]. 2012 (7).

Google Scholar

[4] Jiawei Han Micheline Kamber, Mining Data Concepts and Techniques [M]. China Machine Press, (2007).

Google Scholar

[5] Liu M. R., Li Z. Z., Zhang W. K. Research on Enterprises' Competitive Intelligence Security and Countermeasures in Cloud Era [J]. Journal of Intelligence, 2011 (7).

Google Scholar

[6] Shi Z. Z. Knowledge Discovery [M]. Tsinghua University Press, (2010).

Google Scholar

[7] Baidupedia [EB/OL]. http: /hi. baidu. com/fancy. wly/blog/item/64f. html. (2011).

Google Scholar