Abstract
Data governance is not a one size fits all, instead, it should be an evolutionary process that can be started small and measurable along the way. This research aims at proposing a data governance framework by ensuring data management processes, data security and control are compliant with laws and policies. This article also presents the first results of a comparative analysis between three data privacy laws and outlines five components which together form a data governance framework for SMEs. The data governance model documents data quality roles and their type of interaction with data quality management activities exploring how data is perceived and applicable to SMEs providing best practices for proper data management which includes roles and responsibilities about the use of data for automated decision making, privacy, compliance to data laws, the intersection of data governance and data science in the digital era.
Advisor
Salivia Guarionex
Committee Member
Veltsos Christophe
Committee Member
Kruse Sarah
Date of Degree
2021
Language
english
Document Type
Thesis
Degree
Master of Science (MS)
Department
Computer Information Science
College
Science, Engineering and Technology
Recommended Citation
Okoro, R. (2021). Proposed data governance framework for small and medium scale enterprises (SMEs) [Master’s thesis, Minnesota State University, Mankato]. Cornerstone: A Collection of Scholarly and Creative Works for Minnesota State University, Mankato. https://cornerstone.lib.mnsu.edu/etds/1126/
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Databases and Information Systems Commons, Data Science Commons, Information Security Commons
Rights Statement
