Synopsis
Effective 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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos des auteurs
Cristina Hall is Vice President of Marketing at Explorance. Before this, she worked at Gartner for over 10 years, where she was most recently director of product strategy.
John R. Mattox II is the Head of Talent Research at Explorance. He helps clients develop measurement strategies and improve business performance by measuring the impact of training. Prior to this, John was a Principle Consultant with Gartner and led training evaluation teams at KPMG, PwC and Arthur Andersen.
Peggy Parskey is a part-time managing consultant at Explorance. She also runs her own consulting firm, Parskey Consulting, which provides organizational improvement initiatives to Fortune 500 firms.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Learning Analytics: Using Talent Data to Improve Business Outcomes
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Kogan Page, 2020
ISBN 10 : 1789663008
ISBN 13 : 9781789663006
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Learning Analytics Using Talent Data to Improve Business Outcomes
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ISBN 10 : 1789663008
ISBN 13 : 9781789663006
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Paperback. Etat : new. Paperback. Effective 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. Utilize organizational data and analytics to make better decisions about managing the learning and development of your workforce. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781789663006
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Paperback. Etat : New. Effective 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 LandD's contributions through a portfolio evaluation approach. N° de réf. du vendeur LU-9781789663006
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Learning Analytics : Using Talent Data to Improve Business Outcomes
Edité par
Kogan Page, 2020
ISBN 10 : 1789663008
ISBN 13 : 9781789663006
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Learning Analytics
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Learning Analytics: Using Talent Data to Improve Business Outcomes (Paperback or Softback)
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Kogan Page 4/28/2020, 2020
ISBN 10 : 1789663008
ISBN 13 : 9781789663006
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Learning Analytics
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Paperback. Etat : New. Effective 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 LandD's contributions through a portfolio evaluation approach. N° de réf. du vendeur LU-9781789663006
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