Author:
Alejandro Vaisman
Affiliation:
Universidad de Buenos Aires, Argentina
Keyword(s):
OLAP, Data Warehousing, Requirements, Decision Support System.
Related
Ontology
Subjects/Areas/Topics:
Enterprise Information Systems
;
Information Engineering Methodologies
;
Information Systems Analysis and Specification
;
Requirements Analysis And Management
Abstract:
Today, information and timely decisions are crucial for an organization’s success. A Decision Support System is a software tool that provides information allowing its users to take decisions timely and cost-effectively. This is highly conditioned by the quality of the data involved. In this paper we show that conventional techniques for requirement elicitation cannot be used in Decision Support Systems, and propose DSS-METRIQ, a methodology aimed at providing a single data quality-based procedure for complete and consistent elicitation of functional (queries) and non functional (data quality) requirements. In addition, we present a method based on QFD (Quality Function Deployment), that, using the information collected during requirements elicitation, ranks the operational data sources from which data is obtained, according to their degree of satisfaction of user information requirements.