Data Modeling for Corporate Digital Assets Management: A Repository for Sustainable Growth and Engagement

Farrah Diana Saiful Bahry; Haslinda Husaini; A’dillah Mustafa; Shamila Mohamed Shuhidan; Nur Ain Najihah Mohd Zulkifli; Aina Nur Amirah Ahmad Kamil

doi:10.21834/e-bpj.v10iSI27.6828

Authors

Farrah Diana Saiful Bahry School of Information Science, College of Computing, Informatics and Mathematics, University Teknologi MARA, Puncak Perdana Campus, 40150 Shah Alam, Selangor, Malaysia.
Haslinda Husaini School of Information Science, College of Computing, Informatics and Mathematics, University Teknologi MARA, Puncak Perdana Campus, 40150 Shah Alam, Selangor, Malaysia.
A’dillah Mustafa School of Information Science, College of Computing, Informatics and Mathematics, University Teknologi MARA, Puncak Perdana Campus, 40150 Shah Alam, Selangor, Malaysia.
Shamila Mohamed Shuhidan School of Information Science, College of Computing, Informatics and Mathematics, University Teknologi MARA, Puncak Perdana Campus, 40150 Shah Alam, Selangor, Malaysia.
Nur Ain Najihah Mohd Zulkifli School of Information Science, College of Computing, Informatics and Mathematics, University Teknologi MARA, Puncak Perdana Campus, 40150 Shah Alam, Selangor, Malaysia.
Aina Nur Amirah Ahmad Kamil School of Information Science, College of Computing, Informatics and Mathematics, University Teknologi MARA, Puncak Perdana Campus, 40150 Shah Alam, Selangor, Malaysia.

DOI:

https://doi.org/10.21834/e-bpj.v10iSI27.6828

Keywords:

Corporate content management, Corporate Digital Asset, Data Modelling, Corporate Reputation, Engagement

Abstract

Corporate digital assets become valuable for an organization's sustainable growth. In facing the rapid evolution of the digital landscape, the extensive volume of digital assets should be optimized. Aiming to design a corporate digital assets repository, using web content analysis and benchmarking on several corporate social media, a set of business rules, and a conceptual model of the corporate digital asset has been implemented. The study contributes to data modeling of corporate digital assets, assuring utilization of preservation of digital content. Related descriptive metadata has been added for future enhancement targeting data retrieval capabilities and friendly visualization.

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