Library Improvement Through Data Analytics

Farmer, L. S. J. and Safer, A. M.

ISBN 10: 1783301619 ISBN 13: 9781783301614
Editore: Facet Publishing, 2016
Usato Brossura

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Descrizione:

This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,400grams, ISBN:9781783301614. Codice articolo 8862851

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Riassunto:

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.

Informazioni sull'autore: Lesley Farmer, Alan Safer

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Dati bibliografici

Titolo: Library Improvement Through Data Analytics
Casa editrice: Facet Publishing
Data di pubblicazione: 2016
Legatura: Brossura
Condizione: Good

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