Enterprise Data Governance : A Comprehensive Framework for Ensuring Data Integrity, Security, and Compliance in Modern Organizations
DOI:
https://doi.org/10.32628/CSEIT241051062Keywords:
Data Governance, Information Management, Regulatory Compliance, Data Security, Data QualityAbstract
Enterprise data governance has emerged as a critical function for organizations seeking to maximize the value of their data assets while mitigating risks associated with data management. This article presents a comprehensive framework for implementing effective data governance strategies in modern enterprises. It examines the key components of robust governance structures, including clear policies, well-defined roles and responsibilities, and the establishment of data quality standards. The article explores methods for ensuring regulatory compliance and enhancing data security, emphasizing the importance of risk management and data protection measures. By analyzing case studies across various industries, the article identifies best practices and common challenges in data governance implementation. Additionally, it investigates the impact of emerging technologies such as artificial intelligence and blockchain on data governance practices. The findings underscore the necessity of a holistic approach to data governance that aligns with organizational objectives, fosters a data-driven culture, and adapts to evolving regulatory landscapes. This article contributes to the growing body of knowledge on enterprise data management and provides practical insights for organizations striving to improve their data governance capabilities in an increasingly complex digital environment.
Downloads
References
S. E. Madnick, R. Y. Wang, Y. W. Lee, and H. Zhu, "Overview and Framework for Data and Information Quality Research," J. Data and Information Quality, vol. 1, no. 1, pp. 1-22, Jun. 2009. [Online]. Available: https://dl.acm.org/doi/10.1145/1515693.1516680 DOI: https://doi.org/10.1145/1515693.1516680
R. Khatri and C. V. Brown, "Designing data governance," Commun. ACM, vol. 53, no. 1, pp. 148-152, Jan. 2010. [Online]. Available: https://dl.acm.org/doi/10.1145/1629175.1629210 DOI: https://doi.org/10.1145/1629175.1629210
A. Alhassan, D. Sammon, and M. Daly, "Data governance activities: an analysis of the literature," J. Decis. Syst., vol. 25, no. sup1, pp. 64-75, Jun. 2016. [Online]. Available: https://www.tandfonline.com/doi/full/10.1080/12460125.2016.1187397 DOI: https://doi.org/10.1080/12460125.2016.1187397
Y. Wand and R. Y. Wang, "Anchoring data quality dimensions in ontological foundations," Communications of the ACM, vol. 39, no. 11, pp. 86-95, 1996. [Online]. Available: https://dl.acm.org/doi/10.1145/240455.240479 DOI: https://doi.org/10.1145/240455.240479
C. Batini and M. Scannapieco, "Data Quality: Concepts, Methodologies and Techniques," in Data-Centric Systems and Applications. Berlin, Heidelberg: Springer, 2006. [Online]. Available: https://link.springer.com/book/10.1007/3-540-33173-5
P. Voigt and A. von dem Bussche, "The EU General Data Protection Regulation (GDPR): A Practical Guide," Cham: Springer International Publishing, 2017. [Online]. Available: https://link.springer.com/book/10.1007/978-3-319-57959-7 DOI: https://doi.org/10.1007/978-3-319-57959-7
P. Cichonski, T. Millar, T. Grance, and K. Scarfone, "Computer Security Incident Handling Guide," NIST Special Publication 800-61 Revision 2, 2012. [Online]. Available: https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-61r2.pdf
M. M. Mosley, M. H. Brackett, S. Earley, and D. Henderson, "The DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK Guide)," Technics Publications, 2010. [Online]. Available: https://technicspub.com/dmbok/
K. Weber, B. Otto, and H. Österle, "One Size Does Not Fit All---A Contingency Approach to Data Governance," ACM Journal of Data and Information Quality, vol. 1, no. 1, Article 4, 2009. [Online]. Available: https://dl.acm.org/doi/10.1145/1515693.1515696 DOI: https://doi.org/10.1145/1515693.1515696
R. S. Seiner, "Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success," Technics Publications, 2014. [Online]. Available: https://technicspub.com/non-invasive-data-governance/
M. G. Reeves and R. Bowen, "Developing a data governance model in health care," Healthcare Financial Management, vol. 67, no. 2, pp. 82-86, 2013. [Online]. Available: https://pubmed.ncbi.nlm.nih.gov/23413674/
P. P. Tallon, R. V. Ramirez, and J. E. Short, "The Information Artifact in IT Governance: Toward a Theory of Information Governance," Journal of Management Information Systems, vol. 30, no. 3, pp. 141-178, 2013. [Online]. Available: https://www.tandfonline.com/doi/abs/10.2753/MIS0742-1222300306 DOI: https://doi.org/10.2753/MIS0742-1222300306
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Scientific Research in Computer Science, Engineering and Information Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.