Master Data Management and Reporting in Global Organizations: Challenges and Solutions for Integrating Geographically Diverse Data with Autonomous Vehicle Operations

Abstract

Master Data Management (MDM) plays a crucial role in ensuring data consistency, accuracy, and accessibility across global organizations, especially as they integrate increasingly complex systems like autonomous vehicle (AV) operations. This paper explores the challenges and solutions associated with MDM and reporting in global organizations, focusing on the integration of geographically diverse data with AV operations. As autonomous vehicles generate and rely on vast amounts of data from multiple sources, the need for a robust MDM framework becomes critical. This paper discusses the complexities of managing master data across different regions, including issues related to data standardization, governance, and synchronization. Furthermore, it explores the technological and organizational solutions available to address these challenges, such as data harmonization strategies, the use of advanced analytics, and the implementation of cloud-based platforms. Through a comprehensive analysis of current practices and emerging trends, the paper provides insights into how global organizations can effectively manage and report data to support the seamless operation of autonomous vehicles across diverse geographic locations.