Within the context of enterprise resource planning (ERP) systems, this study aims to
investigate the critical intersection of master information integrity with business rules. Quality …

Data integrity is the maintenance of, and the assurance of the accuracy and consistency of,
data over its entire life-cycle, and is a critical aspect to the design, implementation and …

Purpose–While few would disagree that high data quality is a precondition for the efficiency
of a company, this remains an area to which many companies do not give adequate …

In an environment where individuals use applications to drive activities from what book to
purchase, what film to view, to what temperature to heat a home, data is the critical element …

Master data refers to the data that represents the core business of the organization, shared
among different applications, departments, and organizations and most valued as the …

Despite the established theory and the history of the practical use of integrity rules, data
quality problems, which should be solvable using data integrity rules, persist in …

This paper presents a study of data quality in the context of the informationsystems
organization. We introduce a fundamental analogy between manufacturing and information …

This thesis presents a comparative analysis of enterprise data management practices based
on literature and artificial intelligence (AI) perspectives, focusing on their impact on data …

Purpose–The development of IT has enabled organizations to collect and store many times
more data than they were able to just decades ago. This means that companies are now …

Master data management (MDM) is a method of maintaining, integrating, and harmonizing
master data to ensure consistent system information. The primary function of MDM is to …