Learning Analytics: Using Talent Data to Improve Business Outcomes, 2nd Edition
- Length: 400 pages
- Edition: 2
- Language: English
- Publisher: Kogan Page
- Publication Date: 2020-04-28
- ISBN-10: 1789663008
- ISBN-13: 9781789663006
- Sales Rank: #815376 (See Top 100 Books)
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.
Cover PRAISE FOR LEARNING ANALYTICS Titlepage Dedication Contents List of figures and tables About the authors Foreword How to read this book Acknowledgements Part One The L&D value gap and how to close it 01 The rise of learning analytics Why is all of this important? Standards are coming Data availability Changing the way talent analytics work gets done Providing unique insight into employee behaviour Learning analytics rises Notes 02 What is learning analytics? Introduction Learning analytics today: measure for measure, what should be measured? Why measure learning? Most organizations start with the simple: measure training activity and satisfaction Efficiency, effectiveness and business outcomes: closing the learning measurement gap The journey to learning analytics The Four Levels of Evaluation The Return on Investment Methodology Impact Measurement Framework Success Case Method Performance-Based Evaluation Conclusion Notes 03 The value-centred learning organization: A new evaluation paradigm Volume is not value We’re already delivering value, though… right? Delivering and demonstrating value: the Talent Development Value Framework The Talent Development Value Framework in action Advancing measurement maturity Conclusion Notes Part Two Establishing sound measurement practices 04 Aligning L&D’s value with the C-suite: The Four Value Drivers and Portfolio Evaluation What the C-suite wants from L&D Connecting L&D with the business strategy The Four Value Drivers Building business alignment Translating value drivers to action: Portfolio Evaluation for L&D Immediate benefits of portfolio alignment Additional benefits: portfolio management Change the conversation Conclusion Notes 05 Linking learning to business impact What works? Why does it work? Experimental designs Alternatives to experimental designs Alternative designs: practical ways forward Conclusion Notes 06 The new leading indicators of success and how to manage them Your training programmes may not be as good as you think they are Scrap learning and how to reduce it Performance improvement Net promoter score Manager support and how to improve it Predictive Learning Impact Model 2.0: Causal Modelling Conclusion Notes 07 Developing a sustainable reporting strategy The role of reporting in learning analytics Getting started: design principles Components of an effective reporting strategy Reporting strategy development Critical success factors Perform gap assessment Implementing the strategy Special cases: dashboards and scorecards Monitor the strategy: success indicators Conclusion Notes 08 Technology’s role in learning measurement What should technology do? Benefits and costs of learning technologies The requirements for a new technology system in the BI space The challenge of self-reported data What is the ROI of technology systems? Applying principles of business intelligence systems to L&D Additional technologies Conclusion Notes 09 Benchmarks Comparison to standards provides insights for decision-making Benchmarking improves maturity Why are benchmarks valuable in the L&D space? What benchmarks are available? Benchmarks and statistical significance What does MTM bring to the market beyond benchmarks? How do clients use benchmarks to support decision-making? Conclusion Notes Part Three Refine the strategy: Evolution, ongoing transformation and innovation 10 Driving alignment from strategy through execution Measure twice, cut once The ADDIE Model: sustaining alignment using a cyclical approach Closing the loop Conclusion Notes 11 Optimizing investments in learning Learning and development groups struggle to create value Developing a framework Reporting measures to the business Working with business leaders Continuous improvement and management approaches Principles Less is more Assumptions Moving from reporting to action Conclusion Notes 12 Measuring informal learning outcomes Introduction What is informal learning? What is social learning? The new learning landscape Learning from the past: e-learning lessons Organizational ecosystem for informal learning Traps, potholes and pitfalls of informal learning Showing value through measurement What should we measure to show value? Use cases Conclusion Notes 13 Beyond learning analytics to talent management analytics The future is for those who can predict it Defining what to measure in talent management Understanding the employee life cycle Integrating data Research on talent analytics It’s not the analytics that matter: it’s how they are applied Managing data in the analytics process Improving analytic impact How companies are addressing the challenge of talent analytics impact Analytics across the talent life cycle Conclusion Notes Index Copyright
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