Master Data Quality and Business Rules: A Comprehensive Analysis

Abstract

Within the context of enterprise resource planning (ERP) systems, this study aims to investigate the critical intersection of master information integrity with business rules. Quality master data that is in line with defined business regulations is crucial to the potency of data management systems in this era where data is the foundation for informed decision-making. The complex interplay between acquire data quality and business rule creation, deployment, and enforcement in various organizational settings is the focus of this research. The study takes a holistic view of the interdependent nature of master data quality & business rules by integrating theoretical frameworks, empirical analysis, and case studies. This research seeks to enhance our understanding of the opportunities and challenges that organizations encounter when trying to optimize the management of their information processes by analyzing practical situations and industry best practices to identify the critical factors impacting data quality and how they interact with business rules. In addition, the study delves into the impacts of poor mastery data quality on business rule effectiveness, and, on the other hand, how clearly specified business rules can improve master data quality. Researchers hope that businesses will be able to use the findings to strengthen their data governance plans and create a more flexible method of data management. Keeping ahead of the competition in today's data-driven world requires a deep grasp of the connection between core information integrity and business regulations, since data remains a valuable strategic asset for organizations.