Collaborative Models for Reference Data Management: Exploring Utility Models and Industry Partnerships

EasyChair Preprint 12629

Abstract

Collaborative approaches to reference data management have emerged as viable solutions for financial institutions seeking to address the challenges of data quality, consistency, and interoperability. This paper investigates the utility models and industry partnerships that facilitate collaborative reference data management within the financial sector. It examines the advantages, challenges, and best practices associated with utility models, where multiple institutions share a common reference data infrastructure and services. Additionally, the paper explores the role of industry partnerships in promoting data standardization, innovation, and cost efficiencies in reference data management. By analyzing real-world case studies and examples, this paper aims to provide insights into the benefits and implementation strategies of collaborative models for reference data management, offering recommendations for financial institutions looking to leverage collective efforts for improved data quality and operational efficiency.

Keyphrases: Data Integrity, Data quality assurance, best practices, financial analysis, reference data

@booklet{EasyChair:12629,
  author    = {Kiswah Noor and Adhara Khalili},
  title     = {Collaborative Models for Reference Data Management: Exploring Utility Models and Industry Partnerships},
  howpublished = {EasyChair Preprint 12629},
  year      = {EasyChair, 2024}}