| Autor: |
Ershadi, Mohammad Javad, Niaki, Seyed Taghi Akhavan, Azizi, Amir, Esfahani, Aynaz Ashtarian, Abadi, Reza Edris |
| Předmět: |
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| Zdroj: |
Communications in Statistics: Simulation & Computation; 2023, Vol. 52 Issue 4, p1591-1606, 16p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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