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001			ocn945767025
003			OCoLC
005			20240726104545.0
008			160325t20162016ilua b 001 0 eng
010			_a2015046382
016	7		_a017873859 _2Uk
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042			_apcc
049			_aSBIM
050	0	4	_aZ678 _b.L537 2016
100	1		_aFarmer, Lesley S. J., _e1
245	1	0	_aLibrary improvement through data analytics /Lesley S.J. Farmer, Alan M. Safer.
260			_aChicago : _bNeal-Schuman, an imprint of the American Library Association, _c(c)2016.
300			_aix, 174 pages : _billustrations ; _c23 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_a2
505	0	0	_aPlanning with Six Sigma -- _tDefining the project -- _tMeasure the current situation -- _tAnalyze existing processes -- _tImprove or introduce the process -- _tControl the process -- _tCleaning data -- _tGetting started with statistics -- _tMatching data analytic methods to data -- _tStatistical and survey software for libraries -- _tAccess and retrieval: case study -- _tBenchmarking library standards: case study -- _tData sets: case study -- _tDigitization: case study -- _tE-book collection development: case study -- _tFacilities: case study -- _tInformation audit: case study -- _tInstruction: case study -- _tKnowledge management: case study -- _tLending devices: case study -- _tMarketing virtual reference services: case study -- _tOptimizing online use: case study -- _tReference staffing patterns: case study -- _tTrue costs of acquisitions: case study with implications for selection practice.
520	0		_a"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"-- _cPublisher's website.
530			_a2 _ub
650		0	_aLibraries _xEvaluation _xStatistical methods.
650		0	_aLibrary administration _xDecision making _xStatistical methods.
650		0	_aLibrary statistics _vCase studies.
650		0	_aSix sigma (Quality control standard)
700	1		_aSafer, Alan M., _e1
942			_c1 _D _eAZ _hZ _i2017-2018 _k75 _m2016 _RLibrary Department _O112-5183930-5344267 _n0000 _QSTAFF _bN/A _w75 _dCynthia Snell
994			_aC0 _bSBI
999			_c70293 _d70293
902			_a1 _bCynthia Snell _c1 _dCynthia Snell