Data Accuracy, Consistency, and Security.

EasyChair Preprint 14952

Abstract

In an era where data drives decision-making and business operations, ensuring data accuracy, consistency, and security is paramount. This paper explores the critical aspects of data management, highlighting the significance of maintaining high-quality data to support organizational effectiveness. Data accuracy ensures that information is correct and reliable, achieved through validation techniques, regular audits, and automated tools. Consistency, on the other hand, requires standardized data formats and centralized management to prevent discrepancies across systems. Security is equally vital, encompassing access controls, encryption, and proactive measures against cyber threats. By integrating these elements through a comprehensive data governance framework, organizations can mitigate risks, enhance trust in their data, and drive informed decision-making. This exploration underscores the necessity for organizations to prioritize data integrity as a fundamental component of their operational strategy, paving the way for future advancements in data management practices.

Keyphrases: Data Governance, Data Integrity, Data Security, Information Reliability, data accuracy, data consistency, data management

@booklet{EasyChair:14952,
  author    = {Edwin Frank and Elizabeth Henry},
  title     = {Data Accuracy, Consistency, and Security.},
  howpublished = {EasyChair Preprint 14952},
  year      = {EasyChair, 2024}}