Time-Related Factors of Data Quality in Multichannel Information Systems
Journal of Management Information Systems; Winter2003, Vol. 20 Issue 3, p71, 21p
Cappiello, Cinzia; Francalanci, Chiara; Pernici, Barbara

This article provides a model that can help companies analyze the impact of software architectural choices on the currency, accuracy, and completeness of data. The paper proposes a classification of software architectures based on their degree of integration across channels and functionalities. The degree of integration results in different values of currency, accuracy, and completeness delivered to customers. The incorrectness of a data value depends on multiple factors, such as syntax errors or representational ambiguities. In multichannel information systems, delays in data updates represent a major cause for inaccuracy. The time interval between two realignments usually depends on architectural choices and related constraints. Financial institutions have developed their information system architecture incrementally and they have integrated their architecture for only a subset of their channels and functionalities according to contextual criteria. The time related issues raised by data duplication represent one of the causes of inaccuracy. Virtual financial institutions show a trade-off between accuracy and completeness, similar to global and national institutions. Simulation results show that no single integration strategy is optimal in all cases, whereas accuracy and completeness depend on customer behavior and corresponding perception of data quality.
 

ISE Categories:  Data Quality