Lean database: An interdisciplinary perspective combining lean thinking and technology

Abstract

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.