Requirements Formulation Neglect as a Major Cause of Poor Data Quality in Information Systems

Abstract

This is a report on how much lack or neglect of requirements formulation affects data quality in information systems. The issue of data quality in information systems is centred around their conceptual data models as they capture all the data perspectives that the systems manage. Investigations on case studies in a way of triangulation were attempted to find out that there are over 30% (near 40%) of unnecessary data replication or redundancy when elicitation of requirements is poor, which is serious enough to impel the success or failure of information systems.