Title :
Reducing the Information Quality Risk in Decision Support for a Finance Company
Author :
Su, Ying ; Peng, Gongqian ; Jin, Zhanming
Author_Institution :
Center for Resource Sharing Promotion, Inst. of Sci. & Tech. Inf., Beijing, China
Abstract :
This paper describes an information quality risk in decision support for a finance company as part of a larger project in auto finance loaning. A methodology to estimate the risks of data accuracy, completeness and consistency on the data aggregate functions count, sum and average is presented. This methodology ensures decisions based on fit-for-purpose information for projects that harvest warehouse data for decision support to the management. By developing a risk assessment program for information quality focused on business initiatives and treating information as a true enterprise asset, high-quality information for credits can be assured.
Keywords :
credit transactions; decision support systems; auto finance loaning; credits; data accuracy; data completeness; data consistency; decision support; finance company; information quality risk; Automatic frequency control; Companies; Data mining; Finance; Financial management; Guidelines; Project management; Quality management; Resource management; Risk management;
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
DOI :
10.1109/ICMSS.2009.5301971
