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p-Index From 2021 - 2026
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All Journal International Journal of Entrepreneurship & Technopreneur (INJETECH)
Herdiansyah Pratama Ginanjar
Universitas Komputer Indonesia, Indonesia
Humanities Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences Other

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Data Asset Governance Framework for Monetization in Digital Startups Herdiansyah Pratama Ginanjar; Eddy Soeryanto Soegoto; Dostnazar Ximmataliyev
International Journal of Entrepreneurship & Technopreneur (INJETECH) Vol. 6 No. 1 (2026): June, 2026
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injetech.v6i1.20780

Abstract

Data monetization has emerged as a key revenue strategy for startups in a competitive digital economy, though challenges like data fragmentation, quality issues, and privacy laws often arise. This literature-based study proposes an adaptive data governance conceptual framework for startups, informed by DMBOK v2. Utilizing a Systematic Literature Review (SLR) alongside a comprehensive regulatory document review, this research develops a governance model that balances business objectives with legal compliance. The proposed Agile Data Commercialization Governance Framework (ADCGF) simplifies governance by emphasizing three essential DMBOK v2 pillars: structured data governance (Data Governance), data quality validation against set benchmarks (Data Quality), and de-identification techniques such as anonymization and aggregation (Data Security & Privacy). This framework suggests that privacy regulations can act as facilitators for startup innovation and market trust, offering practical guidance for digital businesses to exploit data's economic value securely and compliantly.
Co-Authors Dostnazar Ximmataliyev Eddy Soeryanto Soegoto