Data-Driven Decision-Making in the Library: Using Business Intelligence and Data Analytics Software Tools for Library Management

Please consider submitting proposals and/or chapters for a forthcoming book in the LITA Guide series. See below for a brief description of the book and the full call for more details.
Call for Chapters: Data-Driven Decision-Making in the Library: Using Business Intelligence and Data Analytics Software Tools for Library Management
Proposals Submission Deadline: August 1, 2019
Full Chapter Drafts Due: November 30, 2019
Editors: Lauren Magnuson (California State University, San Marcos) and Nikki DeMoville (California Polytechnic State University, San Luis Obispo)
Series: LITA Guides
Publisher: Rowman & Littlefield Publishers, Inc.
Introduction:
Business intelligence (BI) and data analytics software tools are becoming increasingly ubiquitous at a time when libraries, like other organizations, are seeking realistic frameworks and workflows to support data-driven decision making. Library technology managers, administrative leadership, collection managers, and teaching librarians are in need of practical, straightforward technical and operational guidance to understanding, using and optimizing business intelligence and data analytics software packages like Tableau, Oracle Business Intelligence, SAP BusinessObjects, and more. This book will provide an overview of strategies that library professionals can use to sustainably incorporate data-driven practices into library operations.
Submission Procedure
Please send a proposed title, 500-word abstract, and a 100-word author bio to lmagnuson@csusm.edu on or before August 1, 2019. Authors will be notified by August 15, 2019 about the status of their proposals.
See the full call  for recommended topics and more details. Thank you for sharing your knowledge and expertise!

 

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