NDLI: Risk-oriented financial data(ROFD) conceptual modeling

Content Provider	IEEE Xplore Digital Library
Author	Bao-ming Wu Song-nian Yu
Copyright Year	2010
Description	Author affiliation: School of computer engineering and science, Shanghai University, Zhabei, China, 200072 (Bao-ming Wu; Song-nian Yu)
Abstract	On noticing that many enterprises suffer great losses in the financial crisis which mainly imputed to be bad results of unsolicited credit, we concluded that there is a deficiency in financial forecast system which is derived from the shortcoming of data model in the MIS. Today's MIS is built on the traditional data model which could not show the stockholders the future information of their enterprise's operating. So we made efforts to find a new data model to redraw the schema of business database. And we have already got a few achievements in semantic modeling for risk-oriented financial data. Further analysis on requirements for data about future and temporal attribute of business information produces our new improvements in concepts of the future financial data. This paper introduces our recent work and presents a the novel concepts of risk data in business which is the key foundation stone of our innovative model, this is, the risk-oriented financial data conceptual model, namely, the ROFD model. This paper firstly discusses the user requirements for risk information in general; secondly analyzes the time attribute of business information; thirdly proposes the concept of risk data; finally puts up the ROFD model.
Starting Page	626
Ending Page	629
File Size	672931
Page Count	4
File Format	PDF
ISBN	9781424469826
e-ISBN	9788988678176
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-11
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	AICIT
Subject Keyword	the ROFD model Predictive models Data engineering Hazards Risk analysis Information analysis Design engineering risk data Databases Economic forecasting Data models Risk management conceptual modeling
Content Type	Text
Resource Type	Article

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