As organizations are growing, the same also happens to the quantity of their data and the complexity of storing them. This has called for the need for a system that assures organizations of data correctness, accuracy, and consistency, master data management. Master data management possesses numerous benefits and challenges to organizations. A.Purpose The purpose of this study is to identify the numerous pros and cons of master data management in business organizations. B. Design This study is a literature review of the existing sources from different databases: google scholar, google search, science direct, IET Electronic Library, SciFinder-n, and so much more. C. Findings This study identified numerous pros and cons associated with implementing and using master data management in an organization from the numerous sources used. The pros include elimination of redundancy, effective data editing, improving quality of data, speed of launching new products, and easy backup. On the other hand, the cons include lack of stakeholder engagement, the input of irrelevant information, lack of effective data management, and getting appropriate tooling. D.Originality  The MDM is the epitome of industry’s best practices all over the globe. It is a system that allows the implementation of diverse applications, platforms, and architectures.

Master data management (MDM) is the process of establishing a common data set for suppliers, products, consumers, and other organizations across numerous IT platforms. Enterprise-wide master data management, a key component of the primary data management process, aids in enhancing the quality of a company’s data by guaranteeing that the IDs and other primary data characteristics belonging to those entities are consistent and accurate. When done correctly, master data management can also enable data processing in IT settings with a range of applications and platforms, as well as facilitate data transmission between multiple business systems. Business intelligence (BI) and analytics solutions are more reliable when master data management is done well.

Master Data Management (MDM) stands as a pivotal discipline in the realm of modern data management, owing to its profound significance in upholding data accuracy and completeness across organizational landscapes. In an era driven by data-driven decision-making, MDM emerges as a strategic framework that orchestrates the harmonious synchronization, governance, and dissemination of critical data. At its core, MDM entails the establishment of a centralized repository, encapsulating vital business entities like customers, products, and locations. This repository serves as the single source of truth, ensuring consistent, accurate, and reliable data dissemination across various applications and departments. By enforcing stringent data quality standards, MDM not only curbs discrepancies and redundancies but also cultivates a foundation of trust in the data’s integrity. The ramifications of MDM reverberate across multiple dimensions. Enhanced data accuracy leads to improved analytics, yielding sharper insights and informed decision-making. Moreover, MDM enables comprehensive data lineage and traceability, fostering compliance with regulatory mandates. Furthermore, its impact spans customer satisfaction, as consistent, accurate data fortifies customer interactions and loyalty. In conclusion, Master Data Management stands as the linchpin for sustaining data accuracy and completeness within enterprises. Its role transcends mere data management, evolving into a strategic asset that empowers organizations to navigate the complexities of the data-driven landscape with confidence and precision.