Evolving Trends in Master Data Management Maturity Models: a Comprehensive Review and Analysis

EasyChair Preprint no. 12473

Abstract

Master Data Management (MDM) plays a critical role in ensuring data consistency, accuracy, and reliability across an organization. As the complexity of data ecosystems continues to grow, the need for effective MDM practices becomes increasingly paramount. Maturity models have emerged as valuable tools for organizations to assess their MDM capabilities and progress toward higher levels of maturity. This paper presents a comprehensive review and analysis of existing MDM maturity models, highlighting their evolution, key components, strengths, and limitations. Through synthesizing insights from academic literature, industry reports, and case studies, this research aims to provide a nuanced understanding of MDM maturity models, their applicability across diverse organizational contexts, and avenues for future research.

Keyphrases: evolving, Master, Trends in

@Booklet{EasyChair:12473,
  author = {Patrick Evan and Julia Anderson},
  title = {Evolving Trends in Master Data Management Maturity Models: a Comprehensive Review and Analysis},
  howpublished = {EasyChair Preprint no. 12473},

  year = {EasyChair, 2024}}