Jennifer Ye Moon-Chung: Analytics for Academic Libraries, Gebunden

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Drawing on the latest approaches to behavioral and predictive analytics, this guide offers academic librarians pathways to implementing successful analytics programs and to navigating the complex landscape of analytics technology and platforms.

Covering the expectations of the field and modern data-collecting tools and techniques, readers will learn how to leverage their findings to make data-informed decisions in their library planning. The book also highlights what is unique to librarianship in the discipline of analytics by focusing on the ethics of the library profession, including issues related to data privacy and service standards and issues related to collection management and outreach efforts.

This book is an indispensable guide to all areas of academic librarianship. Analytics provide a shared area where data points from other functional areas can be viewed and compared, driving creative collaboration, identification of library-wide trends, and development of future initiatives.