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Improvement Design on the Data Structure of Business Intelligence

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Future Computer, Communication, Control and Automation

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 119))

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Abstract

The basic structure of business intelligence framework is analyzed. The existed problems about data source structure, data storage single-polarization, internet application integration and modularization data display are studied. The improvement design of the business intelligence framework is presented, the traditional data structure model improved, the model structure optimized, the data collection range expanded, the coupling decreased to realize the seamless docking of the module separation, and data storage multi-polarization implemented. The application proves that the improvement result achieves the expected target, and that the presented improvement design is necessary and correct for reference and application.

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Author information

Authors and Affiliations

  1. School of Computer Science & Engineering, University of Electronic Science and Technology of China, Sichuan, Chengdu, 611731, China

    Zhang Jing, Tang Xuefei & Liu Fei

  2. Campus Network Center, Panzhihua University, Panzhihua, Sichuan, 617000, China

    Zhang Jing

Authors
  1. Zhang Jing
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  2. Tang Xuefei
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  3. Liu Fei
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Corresponding author

Correspondence to Zhang Jing .

Editor information

Editors and Affiliations

  1. Central China Normal University, Lvting Yajing, Hongshan Qu 10-3-102, Wuhan, 430079, China, People's Republic

    Tianbiao Zhang

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© 2012 Springer-Verlag Berlin Heidelberg

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Jing, Z., Xuefei, T., Fei, L. (2012). Improvement Design on the Data Structure of Business Intelligence. In: Zhang, T. (eds) Future Computer, Communication, Control and Automation. Advances in Intelligent and Soft Computing, vol 119. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25538-0_46

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  • DOI: https://doi.org/10.1007/978-3-642-25538-0_46

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25537-3

  • Online ISBN: 978-3-642-25538-0

  • eBook Packages: EngineeringEngineering (R0)

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