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This book shows how to act on and make sense of data in libraries.
Using a range of techniques, tools and methodologies it explains
how data can be used to help inform decision making at every level.
Sound data analytics is the foundation for making an evidence-based
case for libraries, in addition to guiding myriad organizational
decisions, from optimizing operations for efficiency to responding
to community needs. Designed to be useful for beginners as well as
those with a background in data, this book introduces the basics of
a six point framework that can be applied to a variety of library
settings for effective system based, data-driven management.
Library Improvement Through Data Analytics includes:the basics of
statistical concepts recommended data sources for various library
functions and processes, and guidance for using census, university,
or government data in analysis techniques for cleaning data
matching data to appropriate data analysis methods how to make
descriptive statistics more powerful by spotlighting relationships
14 practical case studies, covering topics such as access and
retrieval, digitization, e-book collection development, staffing,
facilities, and instruction. This book's clear, concise coverage
will enable librarians, archivists, curators and technologists of
every experience level to gain a better understanding of statistics
in order to facilitate library improvement.
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