Identifying Critical Success Factors for Data Quality Management through a Delphi Study
Organizations support their operations and decision making on the data they have at their disposal, so the quality of these data is remarkably important and Data Quality (DQ) is currently a relevant issue, the literature being unanimous in pointing out that poor DQ can result in large costs for organizations. The literature review identified and described 24 Critical Success Factors (CSF) for Data Quality Management (DQM) that were presented to a panel of experts, who ordered them according to their degree of importance, using the Delphi method with the Q-sort technique, based on an online questionnaire. The study shows that the five most important CSF for DQM are: definition of appropriate policies and standards, control of inputs, definition of a strategic plan for DQ, organizational culture focused on quality of the data and obtaining top management commitment and support.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.3455599Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 326
 Akhavan, P., Jafari, M. & Fathian, M. (2006). Critical success factors of knowledge management systems: a multi-case analysis. European Business Review, 18(2), pp.97–113
 Akpon-Ebiyomare, D.E., Chiemeke, S. C., Egbokhare, F. A., (2012). A Study of the Critical Success Factors Influencing Data Quality in Nigerian Higher Institutions. , 5(2), pp.45–50.
 Ariyachandra, T.R. & Frolick, M.N. (2008). Critical Success Factors in Business Performance Management—Striving for Success. Information Systems Management, 25(2), pp.113–120.
 Baškarada, S. & Koronios, A. (2014). A Critical Success Factor Framework for Information Quality Management. Information Systems Management, (November), pp.37–41.
 Boynton, A.C. & Zmud, R.W. (1986). An Assessment of Critical Success Factors. Sloan Managment Review, 25(4), pp.17–27.
 Davis, Gordon B., "Comments on the Critical Success Factors Method for Obtaining Management Information Requirements in an Article by John F. Rockart," MIS Quarterly, September 1979, pp. 57-58.
 Eckerson, W. W. (2002). Data quality and the bottom line. TDWI Report, The Data Warehouse Institute.
 Forster, N.S. & Rockart, J.F. (1989). Critical Success Factors: An annotated bibliography. MIT Sloan Review, (191), pp.3041–3089.
 Friedman, T. (2006). Strategic Focus on Data Quality Yields Big Benefits for BT. Gartner
 Gallego, D., & Bueno, S. (2014). Exploring the application of the Delphi method as a forecasting tool in Information Systems and Technologies research. Technology Analysis & Strategic Management, 26(9), 987-999.
 Geiger, J. (2004). Data quality management: the most critical initiative you can implement. SUGI 29 Proceedings, pp.1–14.
 Guynes, C.S., Vanecek, M.T.(1996). Critical success factors in data management. Information & management, 30(4), pp.201–209.
 Hansen, M.D., Wang, Y.R. & International Financial Services Research Center. (1991). Managing data quality: a critical issue for the decade to come. Information Systems, (IFSRC no. 172-91), p.23 p.
 Hietschold, N., Reinhardt, R. & Gurtner, S. (2014). Measuring critical success factors of TQM implementation successfully – a systematic literature review. International Journal of Production Research, (July), pp.1–19.
 Huang, S.-J., Wu, M.-S. & Chen, L.-W. (2013). Critical success factors in aligning IT and business objectives: A Delphi study. Total Quality Management & Business Excellence, pp.1–22.
 Linstone, H. a & Turoff, M. (2002). The Delphi Method - Techniques and applications, pp.1–616.
 Lucas, A. (2010). Corporate data quality management in context. International Conference on Information Quality, pp.1–19
 Madnick, S.E. et al. (2009). Overview and Framework for Data and Information Quality Research. ACM Journal of Data and Information Quality, 1(1), pp.1–22.
 Otto, B. (2012). Towards a maturity model for corporate data quality management. Computing, pp.1–2.
 Otto, B. et al. (2007). Towards a Framework for Corporate Data Quality Management. ACIS 2007 Proceedings.
 Pipino, L., Lee, Y., & Wang, R. (2002). Data quality assessment. Communications of the ACM, 45(4), 211–218.
 Redman, T.C. (1998). The impact of poor data quality on the typical enterprise. Communications of the ACM, 41(2), pp.79–82.
 Rockart, J. F. (1979) Chief executives define their own data needs. Harvard business review, pp. 81-93.
 Santos, M. P. D. C. D. (2015). Fatores críticos de sucesso na gestão da qualidade dos dados (Dissertação de Mestrado, Instituto Superior de Economia e Gestão).
 Santos, L. D. Dos, & Amaral, L. A. M. Do. (2004). Estudos Delphi com Q-Sort sobre a web – A sua utilização em Sistemas de Informação. Associação Portuguesa de Sistemas de Informação, 13. Retrieved from http://repositorium.sdum.uminho.pt/handle/1822/2280
 Skulmoski, G. J., Hartman, F. T., & Krahn, J. (2007). The Delphi method for graduate research. Journal of Information Technology Education: Research, 6, 1-21.
 Schmidt, R. C., Managing Delphi Surveys Using Nonparametric Statistical Techniques, Decision Sciences, 28, 3, (1997), 763-774
 Stephenson, W., The Study of Behavior: Q-technique and its Methodology, University of Chicago Press, Chicago, 1953
 Tee, S.W. et al. (2007). Factors influencing organizations to improve data quality in their information systems. , 47(September 2005), pp.335–355.
 The Data Management Association. The DAMA Dictionary of Data Management. Technics Publications LLC. Bradley Beach, NJ, 2008
 Trkman, P. (2010). The critical success factors of business process management. International Journal of Information Management, 30(2), pp.125–134.
 Umble, E.J., Haft, R.R. & Umble, M.M.,(2003). Enterprise resource planning: Implementation procedures and critical success factors. European Journal of Operational Research, 146(2), pp.241–257.
 Williams, T. L., Becker, D., Robinson, C., Redman, T. C., & Talburt, J. R. (2015, July). Measuring Sociocultural Factors of Success in Information Quality Projects. In Proceedings of the 20th International Conference on Information Quality (ICIQ-2015) (pp. 48-69).
 Wixom, B.H. & Watson, H.J. (2001). An Empirical Investigation of the Factors Affecting Data Warehousing Success. MIS Quarterly, 25(1), p.17
 Xu, H. (2013). Factor Analysis of Critical Success Factors for Data Quality. AMCIS 2013 Proceedings, pp.1–6.
 Xu, H. (2015). What Are the Most Important Factors for Accounting Information Quality and Their Impact on AIS Data Quality Outcomes ? ACM Journal of Data and Information Quality, 5(4)
 Xu, H. & Lu, D.( 2003). The Critical Success Factors for Data Quality --- Different Industries’ Perspective. Iacis 2003, pp.762–768.
 Yeoh, W. & Koronios, A. (2010). Business Intelligence Systems University of South Australia. Journal of computer information systems, 50(3), pp.23–32.
 Yin, R. K. Case Study Research: design and methods. 3rd edition. Sage Publications Inc. Thousand Oaks, CA, 2003.
 Yousuf, M. I. (2007). Using experts’ opinions through Delphi technique. Practical assessment, research & evaluation, 12(4), 1-8.
 Zhang, L.Z.L. et al.( 2003). Critical success factors of enterprise resource planning systems implementation success in China. 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the, pp.1–10
 Cooke-Davies, T. (2002). The “real” success factors on projects. International Journal of Project Management, 20(3), pp.185–190.
 Landeta, J., and J. Barrutia. 2011. People consultation to construct the future: A Delphi application. International Journal of Forecasting 27, no. 1: 134–51
 Gracht, H. (2012). Consensus measurement in Delphi studies: Review and implications for future quality assurance. Technological Forecasting and Social Change 79, no. 8: 1525–36.