Proceedings of The 6th International Conference on Research in Business, Management and Finance
Year: 2023
DOI: https://www.doi.org/10.33422/6th.icrbmf.2023.09.105
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Optimizing Data Governance: Policies and Processes for Data Management in Public Administration and Large Organizations
PanagiotisTzavaras, Eirini Karamanoli , Spyridon Stelios, Konstantinos Sgantzos, Vasileios Baratsas
ABSTRACT:
Data management in public administration and large organizations requires policies and procedures that enable the proper use and preservation of digital archival documents. New ways of information affect the governance of citizens in modern democracies, and therefore the effective functioning of institutions and organizations in the digital environment is essential. Organizing, describing, clearing, and maintaining records is vital to effective data management. By examining recent developments in data management practices, this article offers insights and recommendations for organizations striving to optimize their data governance strategies. Effective data management in public administration and large organizations contributes to enhanced decision-making, transparency, accountability, and citizen engagement. The article underscores the importance of data governance frameworks, data classification, access and security policies, data quality assurance, and retention procedures through a comprehensive review and analysis of existing literature, regulations, and case studies related to data management in public administration and large organizations. The study draws insights from scholarly articles, government reports, and industry publications to understand current trends, challenges, and best practices in data governance.
keywords: data management, data quality, data frameworks, data security, public administration