Portland Public Library

Learning analytics, using talent data to improve business outcomes, John R. Mattox II, Peggy Parskey, Cristina Hall

Content
1
Mapped to
1
Label
Learning analytics, using talent data to improve business outcomes, John R. Mattox II, Peggy Parskey, Cristina Hall
Language
eng
Bibliography note
Includes bibliographical references and index
Illustrations
illustrations
Index
index present
Literary form
non fiction
Main title
Learning analytics
Nature of contents
bibliography
Oclc number
1114294639
Responsibility statement
John R. Mattox II, Peggy Parskey, Cristina Hall
Sub title
using talent data to improve business outcomes
Summary
"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."--Provided by publisher
Table of contents
What 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 -- Benchmark -- Optimizing investments in learning -- Beyond learning analytics to talent management analytics

Incoming Resources