Metadata Based Visualization System for Multidimensional Data

DOI

10.2991/caai-17.2017.126How to use a DOI?

Keywords

metadata multidimensional; data visualization; data warehouse; data analysis

Abstract

With the ability to measure and simulate more processes at finer scales, the number of data dimensions and data objects has grown significantly in today's datasets. Much existing research has focused on different visualizations for different data exploration tasks. In this paper, based on the financial management data of MAIN company, a financial management system is analyzed and designed, meanwhile, MAIN's important financial data are extracted, classified, and sorted out. with the analysis of financial data, a multidimensional (MD) data model based on the metadata was implemented; the system architecture and visualization exhibition pattern are designed based on BI(Business Intelligence) technology and an existing metadata management system; The Visualization Exhibition System was implemented by ASP.NET and Silverlight Technology. This system provides multiple perspectives and comprehensive query analysis functions for corporate decision makers and managers. It also provides a feasible solution of BI front-end display system for small and medium-sized enterprise.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yan Peng
PY  - 2017/06
DA  - 2017/06
TI  - Metadata Based Visualization System for Multidimensional Data
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 564
EP  - 567
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.126
DO  - 10.2991/caai-17.2017.126
ID  - Peng2017/06
ER  -