An International Publisher for Academic and Scientific Journals
Author Login 
Scholars Journal of Engineering and Technology | Volume-12 | Issue-02
Maturity Model of Master Data Management at Enterprise Level
Ronak Ravjibhai Pansara
Published: Feb. 1, 2024 | 45 56
DOI: 10.36347/sjet.2024.v12i02.001
Pages: 31-39
Downloads
Abstract
Data is one of the most important things in a company. Data can be processed into information It might aid a business in making a crucial decision. Even with massive amounts of data, a company's data management capabilities should be adequate. A lot of businesses just cannot handle data management, unfortunately. Consequently, they will see a decline in performance and the impact on the organization will be seen. Implementing master data management will fix the problem. Businesses can streamline their operations and increase productivity by using an artist data management system, which makes it easier to handle critical data. Based on the findings, all companies deal with different types of data-related problems. These problems serve as a foundation for how each firm uses the central data management technique. However, with the implementation of master data management, a few issues have also arisen. The study's findings suggest that, depending on their specific requirements, different businesses use different methods and tools to accomplish master data management. Finding out how and why businesses employ master data management as well as the methods and technologies that facilitate its implementation are the primary goals of this article. Twenty papers on master data management were surveyed for this paper's research. The purpose of this paper is to obtain a better understanding of master data administration and its applications in a business setting.