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Publication
Data governance & quality management: innovation and breakthroughs across different fields
| Name: | Description: | Size: | Format: | |
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| 2.8 MB | Adobe PDF |
Advisor(s)
Abstract(s)
In today’s rapidly evolving digital landscape, the substantial advance and rapid growth of data presents companies and their operations with a set of opportunities from different sources that can profoundly impact their competitiveness and success. The literature suggests that data can be considered a hidden weapon that fosters decision-making while determining a company’s success in a rapidly changing market. Data are also used to support most organizational activities and decisions. As a result, information, effective data governance, and technology utilization will play a signi cant role in controlling and maximizing the value of enterprises. This article conducts an extensive methodological and systematic review of the data governance discovering its key concepts, frameworks, and maturity assessment models. Our goal is to establish the current baseline of knowledge in this eld while providing differentiated and unique insights, namely by exploring the relationship between data governance, data assurance, and digital forensics. By analyzing the existing literature, we seek to identify critical practices, challenges, and opportunities for improvement within the data governance discipline while providing organizations, practitioners, and scientists with the necessary knowledge and tools to guide them in the practical de nition and application of data governance initiatives.
Description
Keywords
Data governance Data quality Data assurance Digital forensics Bibliometric mapping
Citation
Bernardo, B. M. V., São Mamede, H., Barroso, J. M. P., & dos Santos, V. M. P. D. (2024). Data governance & quality management—Innovation and breakthroughs across different fields. Journal of Innovation & Knowledge, 9(4), 100598.
Publisher
Elsevier