Abstract
This column aims to explore the potential of big data analytics in improving library management in Indonesia and identify the challenges, opportunities, and best practices for libraries when applying big data analytics. Using of literature review of published studies, this column examines the current state of big data analytics in library management in Indonesia and provides recommendations, including a SWOT analysis, for implementing big data analytics in operations. It also highlighted several challenges such as limited resources, limited access to technology and digital literacy among librarians, and limited data security measures which could put sensitive patron data at risk.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
