La calidad de los datos
Su importancia para la gestión empresarial
Keywords:
Data, data quality, impact, improvementAbstract
In this paper it is commented the importance of using quality data within an enterprise for its appropriate management. The impact of poor data quality, beyond decision-making processes, is reflected on operative processes and frequently on costumers. Reference is made to some ways of measuring data quality level and the necessity of taking initiatives, which consider current trends, regarding the problems presented in this field.
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References
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Caro, A., Calero C. & Caballero, I. (2006). A first Approach to a data Quality Model for Web Portals. International Conference on Computational Sciences and its Applications (ICCSA).
Cong, G., Fan, W., Geerts, F., Jia, X. & Ma, S. (2007). Improving data quality: consistency and accuracy. Proceedings of the 33 International Conference on Very Large Data Base.
Gendron, M. & D’Onofrio, M. (2001). Data Quality in the Healthcare Industry. Data Quality, Vol. 7, No. 1.
Gil – Aluja, J. (2000). Las decisiones y la incertidumbre. Barcelona.
Heredia, J & Vilalta, J. (2008). Procedimiento para el Diagnóstico de la Calidad de los Datos. Sexto Taller de Calidad. Universidad de la Habana.
Javed, B. & Hussain, S. (2003). Data quality – A problem and an approach. Wipro Technologies.
Klein, Barbara. (1998). Data Quality in the Practice of Consumer Product Management. http://dataquality.com.
Levy, S. (2004). Model Documents and forms for Organizing and Maintaining a Data Quality Program. www .dataqualitymodeldocument.com
López, Beatriz & Pérez, Ramiro. (2002) ¿Tiene usted datos sucios? Revista: GIGA. La Habana, Cuba.
Loshin, David. (2001). Integration and the Data Quality Imperative: The Data Quality Monitor. http:// www.datajunction.com.
Maynard, J. (1982). Dictionary of Data Processing. Londres, Inglaterra.
Naveh, E. & Halevy, A. (2000). A hierarchical framework for a quality information system. Total Quality Management, Vol. 11, No. 1, p 87-111.
Olson, J. (2002). Data Profiling: The Data Quality Analyst’s Best Tool. DM Direct, December. DMReview.com.
Pipino, Leo; Lee, Yang & Wang, Richard (2002). Data Quality Assessment. http://web.mit.edu/tdqm/www/tdqmpub/PipinoLeeWangCACMApr02.pdf.
Ponjuán, Gloria. (2006). Gestión de Información en las Organizaciones. Editorial Félix Varela.
Rahm, E. & Hong, H. (2000). Data cleaning: Problems and current Approache. IEEE Techn. Bulletin on Data Engineering.
Redman, Thomas C. (2001). Sistemas de calidad de datos de segunda generación. Manual de Calidad de Juran. McGraw Hill.
Redman, Thomas C. (2004). Data an unfolding quality disaster. http://www.dmreview.com/portals/dataquality.
Strong, D.M., Lee, Y.W. & Wang R.Y. (1997). 10 Potholes in the Road to Information Quality. IEEE Computer, Vol. 30, No. 8, pp. 38 – 46.
Strong, Diane & Lee, Yang. (2003). Process knowledge and data quality outcomes. http://web.mit.edu/tdqm/www/tdqmpub/LeeStrong.pdf.
Tayi, G. & Ballou, D. (1998). Examining Data Quality. Communications of the ACM. Vol. 41, No. 2.
Vilalta, J. (2008). Procedimiento para el Diagnóstico de la Calidad de los Datos. Una nueva versión. 14 Conferencia de Ingeniería y Arquitectura., Cujae, La Habana, Cuba.
Norma Cubana ISO 9000:2000: Sistemas de gestión de la calidad. Fundamentos y vocabulario.
Good Clinical Data Management Practices Committee. (2002). Good Clinical Data Management Practices Guide.
Data Management. http:// www.dataflux.com/datamanagement.
The MIT Total Data Quality Management Program. http://web.mit.edu/tdqm.
Caro, A., Calero C. & Caballero, I. (2006). A first Approach to a data Quality Model for Web Portals. International Conference on Computational Sciences and its Applications (ICCSA).
Cong, G., Fan, W., Geerts, F., Jia, X. & Ma, S. (2007). Improving data quality: consistency and accuracy. Proceedings of the 33 International Conference on Very Large Data Base.
Gendron, M. & D’Onofrio, M. (2001). Data Quality in the Healthcare Industry. Data Quality, Vol. 7, No. 1.
Gil – Aluja, J. (2000). Las decisiones y la incertidumbre. Barcelona.
Heredia, J & Vilalta, J. (2008). Procedimiento para el Diagnóstico de la Calidad de los Datos. Sexto Taller de Calidad. Universidad de la Habana.
Javed, B. & Hussain, S. (2003). Data quality – A problem and an approach. Wipro Technologies.
Klein, Barbara. (1998). Data Quality in the Practice of Consumer Product Management. http://dataquality.com.
Levy, S. (2004). Model Documents and forms for Organizing and Maintaining a Data Quality Program. www .dataqualitymodeldocument.com
López, Beatriz & Pérez, Ramiro. (2002) ¿Tiene usted datos sucios? Revista: GIGA. La Habana, Cuba.
Loshin, David. (2001). Integration and the Data Quality Imperative: The Data Quality Monitor. http:// www.datajunction.com.
Maynard, J. (1982). Dictionary of Data Processing. Londres, Inglaterra.
Naveh, E. & Halevy, A. (2000). A hierarchical framework for a quality information system. Total Quality Management, Vol. 11, No. 1, p 87-111.
Olson, J. (2002). Data Profiling: The Data Quality Analyst’s Best Tool. DM Direct, December. DMReview.com.
Pipino, Leo; Lee, Yang & Wang, Richard (2002). Data Quality Assessment. http://web.mit.edu/tdqm/www/tdqmpub/PipinoLeeWangCACMApr02.pdf.
Ponjuán, Gloria. (2006). Gestión de Información en las Organizaciones. Editorial Félix Varela.
Rahm, E. & Hong, H. (2000). Data cleaning: Problems and current Approache. IEEE Techn. Bulletin on Data Engineering.
Redman, Thomas C. (2001). Sistemas de calidad de datos de segunda generación. Manual de Calidad de Juran. McGraw Hill.
Redman, Thomas C. (2004). Data an unfolding quality disaster. http://www.dmreview.com/portals/dataquality.
Strong, D.M., Lee, Y.W. & Wang R.Y. (1997). 10 Potholes in the Road to Information Quality. IEEE Computer, Vol. 30, No. 8, pp. 38 – 46.
Strong, Diane & Lee, Yang. (2003). Process knowledge and data quality outcomes. http://web.mit.edu/tdqm/www/tdqmpub/LeeStrong.pdf.
Tayi, G. & Ballou, D. (1998). Examining Data Quality. Communications of the ACM. Vol. 41, No. 2.
Vilalta, J. (2008). Procedimiento para el Diagnóstico de la Calidad de los Datos. Una nueva versión. 14 Conferencia de Ingeniería y Arquitectura., Cujae, La Habana, Cuba.
Norma Cubana ISO 9000:2000: Sistemas de gestión de la calidad. Fundamentos y vocabulario.
Good Clinical Data Management Practices Committee. (2002). Good Clinical Data Management Practices Guide.
Data Management. http:// www.dataflux.com/datamanagement.
The MIT Total Data Quality Management Program. http://web.mit.edu/tdqm.
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Published
2009-06-01
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Section
Artículos
How to Cite
Heredia Rico, J. J., & Vilalta Alonso, J. A. (2009). La calidad de los datos: Su importancia para la gestión empresarial. LIBRE EMPRESA, 6(1), 43-50. https://revistas.unilibre.edu.co/index.php/libreempresa/article/view/2929
