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Learning Analytics: Using Talent Data to Improve Business Outcomes
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.
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.
400 pages, Hardcover
Published April 28, 2020
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April 23, 2021
In my ongoing quest to learn as much as I can about corporate learning & development functions, processes, systems, and strategies, I found this book very informative on the subject of measuring the impact of employee learning and training programs.
It is a pretty dense book, full of specialized terms and descriptions, but much of the technical language is supported by graphs and illustrations, which help. I did learn a tremendous amount, on everything from "scrap learning" to "net promoter score" to the difference between "efficiency," "effectiveness," and "outcomes" measures, and look forward to thinking about how to apply this new knowledge to my work.
If you are in a corporate L&D role of any kind, and want to understand why data is critical to showing business impact, as well as how to go about integrating learning data into your work, this book is an essential read.
It is a pretty dense book, full of specialized terms and descriptions, but much of the technical language is supported by graphs and illustrations, which help. I did learn a tremendous amount, on everything from "scrap learning" to "net promoter score" to the difference between "efficiency," "effectiveness," and "outcomes" measures, and look forward to thinking about how to apply this new knowledge to my work.
If you are in a corporate L&D role of any kind, and want to understand why data is critical to showing business impact, as well as how to go about integrating learning data into your work, this book is an essential read.
Displaying 1 of 1 review