Title :
Research on Business Intelligence Application in Electric Grid Industry Based on Data Mining
Author :
Gan Shan ; Du Haoquan
Author_Institution :
Electr. Power Res. Inst. of Guangdong Power Grid Corp., Guangzhou, China
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.
Keywords :
competitive intelligence; data mining; data warehouses; decision support systems; electricity supply industry; power engineering computing; power grids; business intelligence application; business intelligence system; business managers; data mining; data warehouse; decision support; electric grid industry; electric power supplier project implementation management; quantitative analysis; Artificial intelligence; Bismuth; Data mining; Data warehouses; Organizations; Standards organizations; OLAP; data integration; data warehouse; decision support system; service business intelligence;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-6635-6
DOI :
10.1109/ICICTA.2014.114