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Autor: Pierce, Elizbeth M (Comienzo)
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Publicación seriada
Referencias AnalíticasReferencias Analíticas
Autor: Pierce, Elizbeth M
Título: ASSESSING DATA QUALITY WITH CONTROL MATRICES
Páginas/Colación: p82; 28 cm. il
Communications of the ACM Vol. 47, no. 2 February 2004
Información de existenciaInformación de existencia

Resumen
Information products are the results of transforming raw data using computer-based processing into outputs that have value for either internal or external data consumers. Information Product manager (IPM) must apply an integrated, cross-functional approach to fulfill their responsibility of coordinating and managing the suppliers of raw information, the producers of deliverable information and the information consumers. This article presents the technique of control matrix. This technique is adapted from the Information Systems audit and control literature for use in analyzing the quality of an information product. Control matrices are a concise way to link data problems to the quality controls that should detect and correct these data problems during the information manufacturing process. The columns of the matrix list the data quality problems that can afflict the finished information product. The rows of the matrix are the quality checks or corrective processes exercised during the information manufacturing process to prevent, detect or correct these quality problems. The control matrix is designed to focus on those parts of the data manufacturing process that prevent, detect or correct data irregularities in the final information product.

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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