A product perspective on total data quality management wang pdf

We present the old-but-new problem of data quality from a statistical perspective, in part with the goal of attracting more statisticians, especially academics, to become engaged in research on a rich set of exciting challenges. The data quality landscape is described, a product perspective on total data quality management wang pdf its research foundations in computer science, total quality management and statistics are reviewed.

Two case studies based on an EDA approach to data quality are used to motivate a set of research challenges for statistics that span theory, methodology and software tools. Check if you have access through your login credentials or your institution. Further documentation is available here. Based on a literature review and qualitative interviews with TQM and project management experts, four hypotheses are posed on how TQM elements affect CIIPM. A cross-sectional survey collected from over 100 mid to senior level international managers is used to validate these hypotheses. Management, Marketing and International Business Department at the University of Texas-Pan American. He received BS, MS, and PhD in mechanical engineering from the University of Connecticut and MBA from the Duke University.

Dr Jung’s experience includes 13 years of international project management and quality management with ABB, Westinghouse and LG Electronics. We present the old-but-new problem of data quality from a statistical perspective, in part with the goal of attracting more statisticians, especially academics, to become engaged in research on a rich set of exciting challenges. The data quality landscape is described, and its research foundations in computer science, total quality management and statistics are reviewed. Two case studies based on an EDA approach to data quality are used to motivate a set of research challenges for statistics that span theory, methodology and software tools. Check if you have access through your login credentials or your institution. Further documentation is available here.

Based on a literature review and qualitative interviews with TQM and project management experts, four hypotheses are posed on how TQM elements affect CIIPM. A cross-sectional survey collected from over 100 mid to senior level international managers is used to validate these hypotheses. Management, Marketing and International Business Department at the University of Texas-Pan American. He received BS, MS, and PhD in mechanical engineering from the University of Connecticut and MBA from the Duke University. Dr Jung’s experience includes 13 years of international project management and quality management with ABB, Westinghouse and LG Electronics. We present the old-but-new problem of data quality from a statistical perspective, in part with the goal of attracting more statisticians, especially academics, to become engaged in research on a rich set of exciting challenges.

The data quality landscape is described, and its research foundations in computer science, total quality management and statistics are reviewed. Two case studies based on an EDA approach to data quality are used to motivate a set of research challenges for statistics that span theory, methodology and software tools. Check if you have access through your login credentials or your institution. Further documentation is available here. Based on a literature review and qualitative interviews with TQM and project management experts, four hypotheses are posed on how TQM elements affect CIIPM. A cross-sectional survey collected from over 100 mid to senior level international managers is used to validate these hypotheses.

Management, Marketing and International Business Department at the University of Texas-Pan American. He received BS, MS, and PhD in mechanical engineering from the University of Connecticut and MBA from the Duke University. Dr Jung’s experience includes 13 years of international project management and quality management with ABB, Westinghouse and LG Electronics. We present the old-but-new problem of data quality from a statistical perspective, in part with the goal of attracting more statisticians, especially academics, to become engaged in research on a rich set of exciting challenges. The data quality landscape is described, and its research foundations in computer science, total quality management and statistics are reviewed. Two case studies based on an EDA approach to data quality are used to motivate a set of research challenges for statistics that span theory, methodology and software tools.

Check if you have access through your login credentials or your institution. Further documentation is available here. Based on a literature review and qualitative interviews with TQM and project management experts, four hypotheses are posed on how TQM elements affect CIIPM. A cross-sectional survey collected from over 100 mid to senior level international managers is used to validate these hypotheses.