University of Oulu

A comparative analysis of good enterprise data management practices : insights from literature and artificial intelligence perspectives for business efficiency and effectiveness

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Author: Tito, Md1
Organizations: 1University of Oulu, Faculty of Technology, Industrial Engineering and Management
Format: ebook
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1 MB)
Pages: 93
Persistent link:
Language: English
Published: Oulu : M. Tito, 2023
Publish Date: 2023-08-03
Thesis type: Master's thesis (tech)
Tutor: Härkönen, Janne
Reviewer: Härkönen, Janne


This thesis presents a comparative analysis of enterprise data management practices based on literature and artificial intelligence (AI) perspectives, focusing on their impact on data quality, business efficiency, and effectiveness. It employs a systematic research methodology comprising of a literature review, an AI-based examination of current practices using ChatGPT, and a comparative analysis of findings. The study highlights the importance of robust data governance, high data quality, data integration, and security, alongside the transformative potential of AI. The limitations revolve around the primarily qualitative nature of the study and potential restrictions in the generalizability of the findings. However, the thesis offers valuable insights and recommendations for enterprises to optimize their data management strategies, underscoring the enhancement potential of AI in traditional practices. The research contributes to scientific discourse in information systems, data science, and business management.

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Copyright information: © Md Tito, 2023. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.