文章基本信息

标题：Lean Database: An Interdisciplinary Perspective Combining Lean Thinking and Technology
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作者：Jamil Razmak ; Samir Al-Janabi ; Faten Kharbat 等
期刊名称：The International Arab Journal of Information Technology
印刷版ISSN：1683-3198
出版年度：2021
卷号：18
期号：1
DOI：10.34028/iajit/18/1/4
语种：English
出版社：Zarqa Private University
摘要：The continuous improvement approach is key to achieve a sustainable competitive advantage for organizations in their business processes. Nowadays, organizational business processes are seen through an automated function under the umbrella of organizational information systems. The huge amount of automated business processes produces data embedded with a part of messy data that could provide corrupt data. This study uses a lean thinking concept integrated with the data cleaning approach to reduce the waste of data according to business requirements and to enhance continuous improvement as part of a data defect reduction strategy. A new approach of improving and cleaning data waste is proposed by combining data cleaning algorithm and lean thinking concepts. After testing the quality and scalability of the algorithm, along with the evaluation of a corrupt dataset, the results showed improvement in the corrupt dataset reduction, leading to higher organizational performance in business processes. This integration can help researchers and technologists to fully understand and benefit from interdisciplinary capabilities while building bridges between different fields.
关键词：Lean database;interdisciplinary;lean thinking;data quality;data cleaning