Regulatory Compliance and Reference Data Management in the Financial Industry

EasyChair Preprint 12599

Abstract

Data quality is paramount in financial analysis, and reference data plays a critical role in ensuring the accuracy and integrity of analytical insights. This research paper examines the importance of reference data quality assurance in financial analysis and explores best practices and techniques for maintaining data integrity. It delves into the challenges faced by financial institutions in managing reference data quality, including issues related to accuracy, completeness, consistency, and timeliness. Furthermore, the paper discusses strategies for implementing effective reference data quality assurance processes, such as data governance frameworks, quality control measures, and technology solutions. By adopting these best practices and techniques, financial institutions can enhance the reliability of their financial analysis, mitigate risks, and drive informed decision-making.

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

@booklet{EasyChair:12599,
  author    = {Shaquille Azad and Jane Smith},
  title     = {Regulatory Compliance and Reference Data Management in the Financial Industry},
  howpublished = {EasyChair Preprint 12599},
  year      = {EasyChair, 2024}}