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Application of Self-service Analysis Tool for Data Management Application

  • Ran RanEmail author
  • Zhenjiang Lei
  • Dapeng Zhou
  • Liang Bai
  • Yubo Liu
  • Yu Xia
Conference paper
  • 17 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1146)

Abstract

With the advent of the era of big data, and the increasing application of big data technology, data has become one of the important assets of enterprises. Through data analysis, mining, and applications, the management level and economic benefits of the enterprise can be effectively improved. Big data management will bring challenges to the processing capabilities and data throughput of traditional database management systems and file management servers. In order to use big data more effectively and improve the science and timeliness of enterprise statistics, an application system can be constructed and rationalized. The research and development of a data management platform that supports unstructured data, faster and more accurate statistics, comprehensive management of structured data and unstructured data, is a very urgent and important task. Based on the existing self-service analysis tools, carry out research on data management, data sharing, and data application, build a professional data resource directory system, establish a hierarchical data authorization mechanism, promote data innovation and application, and create a set of data management, data sharing, and data analysis An integrated self-service analysis tool that comprehensively enhances cross-professional data sharing, integration and service capabilities, and gives full play to the value of data.

Keywords

Data management Data openness Data application Self-service analysis 

Notes

Acknowledgements

This work was supported by Research on improving technological innovation ability and mass innovation - State Grid Liaoning Electric Power Co., Ltd. information and communication branch (2019YF-65) fund.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ran Ran
    • 1
    Email author
  • Zhenjiang Lei
    • 2
  • Dapeng Zhou
    • 1
  • Liang Bai
    • 1
  • Yubo Liu
    • 1
  • Yu Xia
    • 1
  1. 1.Information Communication BranchState Grid Liaoning Electric Power Co., Ltd.ShenyangChina
  2. 2.State Grid Liaoning Electric Power Co., Ltd.ShenyangChina

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