000 03193cam a2200481 i 4500
001 21418455
005 20240319104055.0
008 200205s2020 nyua b 001 0 eng d
010 _a 2020932529
015 _aGBC017685
_2bnb
016 7 _a019701600
_2Uk
020 _a1789662982
020 _a9781789662986
_q(hardcover)
020 _a9781789663006
_q(paperback)
035 _a(OCoLC)on1114294639
040 _aYDX
_beng
_cYDX
_erda
_dBDX
_dUKMGB
_dOCLCO
_dOCLCF
_dPPN
_dCLE
_dDLC
042 _alccopycat
050 0 0 _aHF5549.5.T7
_bM368 2020
082 0 4 _a658.47
_223
100 1 _aMattox, John R.,
_cII,
_d1971-
_eauthor.
245 1 0 _aLearning analytics
_b: using talent data to improve business outcomes
_c/ John R. Mattox II, Peggy Parskey, Cristina Hall.
250 _aSecond edition
264 1 _aNew York, NY :
_bKogan Page,
_c2020.
300 _axxiv, 367 pages :
_billustrations ;
_c24 cm
504 _aIncludes bibliographical references and index.
505 _aWhat is learning analytics? — Technology’s role in learning measurement — Linking learning to business impact — Scrap learning: the new leading indicator of success — Aligning L&D to business goals through needs assessment; — Benchmarks — Optimizing investments in learning — Beyond learning analytics to talent management analytics.
520 _aEffective evaluation and measurement of learning and development initiatives is critical to maximise the impact of training, identify gaps for improvement and ensure that efforts are aligned to the business' needs. Learning Analytics outlines how analytical approaches can respond to these challenges, the types and benefits of technological solutions and how to ask the right questions of organizational data in order to build a learning organization that boosts performance and competitive advantage. Drawing upon case studies from organizations who have applied such approaches such as The Gap, Hilton Worldwide University and Seagate Technology, Learning Analytics will enable those involved in learning and development to make the business case for their activities and deliver an evidence-based service to their organizations. Alongside updated chapters on learning technology tools and moving beyond learning analytics to talent management analytics, this second edition also features new content on measuring informal learning, increasing data literacy, and framing L&D's contributions through a portfolio evaluation approach.
650 0 _aEmployees
_xTraining of.
650 0 _aOrganizational learning.
650 0 _aPersonnel management.
650 0 _aBusiness intelligence.
650 0 _aBusiness planning.
650 0 _aDecision making
_xStatistical methods.
650 0 _aManagement
_xStatistical methods.
650 7 _aBusiness intelligence.
_2fast
_0(OCoLC)fst00842723
650 7 _aBusiness planning.
_2fast
_0(OCoLC)fst00842819
650 7 _aDecision making
_xStatistical methods.
_2fast
_0(OCoLC)fst00889068
650 7 _aManagement
_xStatistical methods.
_2fast
_0(OCoLC)fst01007232
700 1 _aHall, Cristina,
_eauthor.
700 1 _aParskey, Peggy,
_eauthor.
942 _2lcc
999 _c3384
_d3384
041 _aEnglish