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Library improvement through data analytics /Lesley S.J. Farmer, Alan M. Safer.

By: Contributor(s): Material type: TextTextPublication details: Chicago : Neal-Schuman, an imprint of the American Library Association, (c)2016.Description: ix, 174 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780838914250
Subject(s): LOC classification:
  • Z678 .L537 2016
Available additional physical forms:
Contents:
Defining the project -- Measure the current situation -- Analyze existing processes -- Improve or introduce the process -- Control the process -- Cleaning data -- Getting started with statistics -- Matching data analytic methods to data -- Statistical and survey software for libraries -- Access and retrieval: case study -- Benchmarking library standards: case study -- Data sets: case study -- Digitization: case study -- E-book collection development: case study -- Facilities: case study -- Information audit: case study -- Instruction: case study -- Knowledge management: case study -- Lending devices: case study -- Marketing virtual reference services: case study -- Optimizing online use: case study -- Reference staffing patterns: case study -- True costs of acquisitions: case study with implications for selection practice.
Subject: "More than ever, funding agencies are looking for cost effectiveness. Sound data analytics is the foundation for making an evidence-based case for library programs, in addition to guiding myriad organizational decisions, from optimizing operations for efficiency to responding to community needs for customer satisfaction. Designed to be useful for novices as well as those with a background in data, this book introduces the basics of the Six Sigma framework as a model that can be applied to a variety of library settings. Helping readers make sense of data, this guide for system based, data-driven management covers such key topics as the basics of statistical concepts; recommended data sources for various library functions and processes, and guidance for using census, university, or chamber of commerce 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 case studies which address such areas as digitization, e-book collection development, and reference; and staffing, facilities, and instruction. This book's clear, concise coverage will enable readers of every experience level to gain a better understanding of statistics in order to facilitate library improvement"--
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Withdrawn G. Allen Fleece Library WITHDRAWN Non-fiction Z678.85.F233.L537 2016 (Browse shelf(Opens below)) Not for loan 31923002098644
Circulating Book (checkout times vary with patron status) Circulating Book (checkout times vary with patron status) G. Allen Fleece Library Non-fiction Z678.85.F233.L537 2016 (Browse shelf(Opens below)) Available 31923002099121

Includes bibliographies and index.

Planning with Six Sigma -- Defining the project -- Measure the current situation -- Analyze existing processes -- Improve or introduce the process -- Control the process -- Cleaning data -- Getting started with statistics -- Matching data analytic methods to data -- Statistical and survey software for libraries -- Access and retrieval: case study -- Benchmarking library standards: case study -- Data sets: case study -- Digitization: case study -- E-book collection development: case study -- Facilities: case study -- Information audit: case study -- Instruction: case study -- Knowledge management: case study -- Lending devices: case study -- Marketing virtual reference services: case study -- Optimizing online use: case study -- Reference staffing patterns: case study -- True costs of acquisitions: case study with implications for selection practice.

"More than ever, funding agencies are looking for cost effectiveness. Sound data analytics is the foundation for making an evidence-based case for library programs, in addition to guiding myriad organizational decisions, from optimizing operations for efficiency to responding to community needs for customer satisfaction. Designed to be useful for novices as well as those with a background in data, this book introduces the basics of the Six Sigma framework as a model that can be applied to a variety of library settings. Helping readers make sense of data, this guide for system based, data-driven management covers such key topics as the basics of statistical concepts; recommended data sources for various library functions and processes, and guidance for using census, university, or chamber of commerce 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 case studies which address such areas as digitization, e-book collection development, and reference; and staffing, facilities, and instruction. This book's clear, concise coverage will enable readers of every experience level to gain a better understanding of statistics in order to facilitate library improvement"--

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