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Learning Analytics: Using Talent Data to Improve Business Outcomes, 2nd Edition

Learning Analytics: Using Talent Data to Improve Business Outcomes, 2nd Edition

  • 作者:
  • 出版商: Kogan Page
  • ISBN: 9781789663006
  • 出版时间 April 2020
  • 规格: Paperback , 400 pages
  • 适应领域: International ? 免责申明:
    Countri(es) stated herein are used as reference only

List Price: ¥356.25

¥345.56 Save ¥10.69 (3%)

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  • 描述 
  • 大纲 
  • 作者 
  • 详细

    Utilize organizational data and analytics to make better decisions about managing the learning and development of your workforce.
     
  • Chapter - 01: What is learning analytics?;
    Chapter - 02: Technology’s role in learning measurement;
    Chapter - 03: Linking learning to business impact;
    Chapter - 04: Scrap learning: the new leading indicator of success;
    Chapter - 05: Aligning L&D to business goals through needs assessment;
    Chapter - 06: Benchmarks;
    Chapter - 07: Optimizing investments in learning;
    Chapter - 08: Beyond learning analytics to talent management analytics

  • John R. Mattox II is the Head of Talent Research at Explorance. He helps clients develop measurement strategies to improve business performance by measuring the impact of training. Prior to this, Mattox was a Principal Consultant with Gartner and led training evaluation teams at KPMG, PwC and Arthur Andersen.

    Peggy Parskey is a part-time managing consultant at Explorance. Based in Connecticut, she also runs her own consulting firm, Parskey Consulting, which provides organizational improvement initiatives to Fortune 500 firms.

    Cristina Hall is Vice President of Strategy at Explorance and is based in Chicago, Illinois. Before this, she worked at Gartner for over 10 years, where she was most recently director of product strategy.

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