NDLI: Research on Business Intelligence Application in Electric Grid Industry Based on Data Mining

Content Provider	IEEE Xplore Digital Library
Author	Gan Shan Du Haoquan
Copyright Year	2014
Description	Author affiliation: Electr. Power Res. Inst. of Guangdong Power Grid Corp., Guangzhou, China (Gan Shan) \|\| Suzhou Baizi Inf. Technol. Co. Ltd., Suzhou, China (Du Haoquan)
Abstract	With the continued adaption and improvement of information technology among power enterprises, all types of application systems have accumulated large amount of invaluable business data. In order to take a full advantage of the data, we need to transform the data into the insights and knowledge for the organization. These insights and knowledge can help the organization make fast, agile, and right decisions and resolve potential issues from the business operation in a timely manner. A data warehouse and business intelligence system has been established based on the organization's data profile, business rules and hierarchy. This system provides the decision support in the form of quantitative analysis to the business managers. This system provides a single source of truth for the organization's business information, enables the standardization of reports, and provides the intelligent and agile reports. The system has demonstrated its valuable contribution to electric power supplier's project implementation management. It has also provided a better communication among various departments and standardized the organization's business process. All of those will improve the working efficiency and organization's profitability.
Sponsorship	Shenzhen Res. Inst., Central South Univ.
Starting Page	449
Ending Page	451
File Size	315174
Page Count	3
File Format	PDF
e-ISBN	9781479966363
DOI	10.1109/ICICTA.2014.114
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	data warehouse service business intelligence Standards organizations Organizations decision support system Bismuth Data warehouses OLAP Data mining Artificial intelligence data integration
Content Type	Text
Resource Type	Article

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