Author(s)

Bowen Ma ¹

Affiliation(s)

¹ Tencent Technology (Shenzhen) Co. Ltd, Shenzhen, Guangdong, 518000, China

Corresponding Author

Bowen Ma

ABSTRACT

In the digital era, traditional data governance frameworks centered on rule - enforcement are struggling to meet the dynamic demands of modern enterprises, which restricts the efficiency of data utilization. This paper introduces a novel "data intelligence governance" framework. By integrating AI technologies with systematic governance practices, it creates a symbiotic relationship between governance and intelligent analytics. Empirical evidence shows remarkable improvements in data accessibility, analysis efficiency, and decision - making agility. Case studies demonstrate efficiency gains of up to 40%. This approach paves the way for scalable, self - service data asset management, enabling enterprises to transform into agile, data - driven organizations.

KEYWORDS

Digital era, integrating AI, efficiency, analytics

CITE THIS PAPER

Bowen Ma, From Data Governance to Data Intelligence Governance: Transforming Enterprise-Level Data Asset Management. Journal of Artificial Intelligence Practice (2025) Vol. 8: 1-5. DOI: http://dx.doi.org/10.23977/jaip.2025.080201.

REFERENCES

[1] Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99 - 120.
[2] Goldratt, E. M. (1984). The goal: A process of ongoing improvement. North River Press.

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