Predicting factors of library traffic for UiTMCTKKT Cendekiawan Library using predictive analytics / Azzatul Husna Abdul Aziz
As organizations grow more complex, Business Intelligence (BI) and data analytics have become vital for making informed decisions and optimizing resources, including in academic libraries. The study addresses the operational inefficiencies at UiTMCTKKT Cendekiawan Library, including limited insights...
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| Format: | Thesis |
| Language: | en |
| Published: |
2025
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| Online Access: | https://ir.uitm.edu.my/id/eprint/115316/1/115316.pdf https://ir.uitm.edu.my/id/eprint/115316/ |
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