A semiotic information quality framework: Development and comparative analysis

Abstract

Quality information and information quality management in an organization is essential for effective operations and decision-making. The proliferation of data warehouses to support decision-making further highlights an organization’s vulnerability with respect to poor data quality, especially given the widely disparate data sources, contexts, users, and data uses characterizing data warehouses and the much less predictable data usage involved in decision-making as compared to business operations.