Volume 15 Number 6 (Nov. 2020)
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JSW 2020 Vol.15(6): 172-180 ISSN: 1796-217X
doi: 10.17706/jsw.15.6.172-180

Design and Research of Statistical Analysis System Based on Business Decision Field

Xiao lianLi*, Dexin Qiao, Yu Ding, Ying Shi, Wei Guo, Daiming Wei
Research Institute of Petroleum Exploration & Development, Beijing 100083, China

Abstract—With the gradual deepening and expansion of the scale of enterprise information construction, it is more and more required that the system can break thebusiness barriers and data barriers, and realize a new software design idea of data sharing, technology sharing and collaboration.At present, the data statistics system of large-scale energyenterprises has been unable to meet and adapt to the increasingly complex and huge data analysis demand group. There are many kinds of calculation caliber and groups, and the data processing capacity has multiplied. The original system has been overwhelmed. Therefore, aset of functions is needed to support the comprehensive statistical business needs of the group headquarters, integrate discrete statistics, and provide integrated big data statistical business management; finally, the functionsof data collection, data verification and data presentation of the comprehensivestatistical business of the company are realized, so as to improve the level of statistical business data query and data analysis.

Index Terms—Intelligent analysis, big data collection, system design, business decision-making

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Cite: Xiao lianLi*, Dexin Qiao, Yu Ding, Ying Shi, Wei Guo, Daiming Wei, "Design and Research of Statistical Analysis System Based on Business Decision Field," Journal of Software vol. 15, no. 6, pp. 172-180, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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