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Monitoring data quality using hoteling T 2 multivariate control chart
Ershadi, M. J ; Sharif University of Technology | 2021
397
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- Type of Document: Article
- DOI: 10.1080/03610918.2021.1887232
- Publisher: Bellwether Publishing, Ltd , 2021
- Abstract:
- Nowadays, data and information are recognized as a precious resource in an organization. Data quality indicators help organizations manage the quality of data quantitatively and improve organizational processes. Organizations manage data and information with the help of information systems and make decisions within the framework of data collected and analyzed. On the other hand, continuous evaluation of the quality of data flow in systems can lead to a preventive program to formulate strategies for improving performance. This can be done effectively and efficiently in the form of control charts. In this paper, control charts are employed to monitor the quality of data flow in information systems using data quality indicators such as Accuracy, Precision, Completeness, and Timeliness simultaneously. The results of the control chart deployment show data quality improvement. Developing solutions that rule out information systems errors, using ready-made lists when generating and entering data, providing timely feedback to users on data quality issues, as well as managing visual training and developing guidelines are suggested as remedial measures to improve data quality in the end. © 2021 Taylor & Francis Group, LLC
- Keywords:
- Control charts ; Data reduction ; Data transfer ; Flowcharting ; Information systems ; Information use ; Monitoring ; Quality control ; Data and information ; Developing solutions ; Improving performance ; Multivariate control charts ; Organizational process ; Quality of data ; Remedial measures ; Visual trainings ; Information management
- Source: Communications in Statistics: Simulation and Computation ; 2021 ; 03610918 (ISSN)
- URL: https://www.tandfonline.com/doi/abs/10.1080/03610918.2021.1887232?journalCode=lssp20