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Association for Talent Development - Elliott Masie

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83 pages

English

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Welcome to the big data revolution. In today’s wired world, we interact with millions of pieces of information every day. Capturing that information and making sense of it is the revolutionary impact of big data on business—and on learning.

Thought leader Elliott Masie and Learning CONSORTIUM Members bring a powerful new book to the T&D profession. They provide a SWOT analysis of big data and implications for learning and development professionals.

Big learning data is at your fingertips. You need to know why it matters.

Find out where to start with big learning data.

Think differently about the data you have.

Understand transparency, user sensitivity, and who owns "my" big data.

Sujets

Efficacité professionnelle

Efficacité

Business

Economics

Training

Employabilité, métiers et formations

Informations

Publié par	Association for Talent Development
Date de parution	27 novembre 2013
Nombre de lectures	0
EAN13	9781607286479
Langue	English
Poids de l'ouvrage	7 Mo

Informations légales : prix de location à la page 0,1648€. Cette information est donnée uniquement à titre indicatif conformément à la législation en vigueur.

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©2013 American Society for Training & Development (ASTD)
All rights reserved. Printed in the United States of America.
No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the publisher, except in the case of brief quotations embodied in critical reviews and certain other noncommercial uses permitted by copyright law. For permission requests, please go to www.copyright.com , or contact Copyright Clearance Center (CCC), 222 Rosewood Drive, Danvers, MA 01923 (telephone: 978.750.8400, fax: 978.646.8600).
ASTD Press is an internationally renowned source of insightful and practical information on workplace learning, performance, and professional development.
ASTD Press 1640 King Street Box 1443 Alexandria, VA 22313-1443 USA
Ordering information: Books published by ASTD Press can be purchased by visiting ASTD’s website at store.astd.org or by calling 800.628.2783 or 703.683.8100.
ISBN-10: 1-56286-909-4 ISBN-13: 978-1-56286-909-0 e-ISBN: 978-1-60728-647-9
ASTD Press Editorial Staff: Director: Glenn Saltzman Manager, ASTD Press: Ashley McDonald Community Manager, Learning Technologies: Justin Brusino
Senior Associate Editor: Heidi Smith Editorial Assistant: Ashley Slade Cover Design: Marisa Kelly Interior Design: Abella Publishing Services
TABLE OF CONTENTS
Dedication
Elliott Masie
Foreword
Tony Bingham
Introduction
Bob Baker
SECTION I Big Learning Data and Data Analysis Are Important
Ch1 On Big Learning Data: Thoughts From Elliott Masie
Elliott Masie
Ch2 Why Are Big Learning Data and Data Analytics Important?
Nigel Paine
Ch3 The Skills and Mindset Required for Big Learning Data
Donald H. Taylor
SECTION II Impacts on People in the Learning Field
Ch4 Big Learning Data and Training Programs: Start Small to Go Big and Go Big to Go Long
Tom King
Ch5 Big Learning Data: Three Roles of the Learning Leader
Coley O’Brien
Ch6 Stakeholder Perspectives and Needs for Big Learning Data
Rahul Varma, Dan Bielenberg, Dana Alan Koch
Ch7 Avoiding the Dangers of Big Learning Data
A.D. Detrick
Ch8 Big Learning Data Risks: Privacy, Transparency, Culture, and Silly Data
Elliott Masie
SECTION III Approaches to Big Learning Data
Ch9 Case Study: It’s Bigger Than Big Data— Metrics and Measurement Without a Strategy Is Just Data
Nickole Hansen, Peggy Parskey, Jennifer O’Brien
Ch10 Case Study: Big Data, Big Difference in Training and Development
Jeff Losey
Ch11 Case Study: Points for the Training Scoreboard
Ben Morrison
Ch12 Case Study: Big Learning Data Sources and Analytics
Doug Armstrong
Ch13 A Perspective From K–12: A View From the U.S. Department of Education on Big Learning Data in K–12
Epilogue: Moving Forward
Bob Baker
About the Authors
DEDICATION
Big data can help create big learning. Let’s approach big data as learners, embracing these two perspectives:
The price of light is less than the cost of darkness.
—Arthur C. Nielsen
Not everything that can be counted counts, and not everything that counts can be counted.
—Albert Einstein
FOREWORD
Nate Silver loves data. And he knows how to use it. Silver, who left a job as an economic consultant with KPMG and nurtured his love for statistics and baseball, developed a system for projecting player performance and careers. That system, Player Empirical Comparison and Optimization Test Algorithm (PECOTA), is used by baseball business professionals to predict the performance and value of major league players.
Nate Silver is also the guy who accurately predicted the election outcomes in 49 of 50 states in the 2008 U.S. presidential election, and improved his own stats by accurately predicting the election outcomes in all 50 states in the 2012 election. Data, demographics, behavior—and the correct analysis of all of it—are powerful, and always have been.
But in today’s digital landscape, one where people walk around with access to the world’s knowledge in their pockets and regularly interact with millions of pieces of information, data takes on new dimensions. We are only beginning to conceptualize what can be done with the mammoth amount of information to which we have access.
I have talked about the power of technology in the learning profession for years. It is revolutionizing the way learning and development practitioners do their work. Leveraging big data is the next logical step in this evolution. The outputs of technology—the data that we gather—provide learning professionals a new vantage point from which to view the work they do.
I am excited about this book that Elliott Masie and his team of collaborators have created. What I found in these pages was a comprehensive SWOT analysis of big data and its implications for the training and development profession. Most refreshing are the honest questions asked by the contributors who wonder whether the field is ready to embrace, understand, and apply the power of big data in their work. The writers identify the strengths and weaknesses, the opportunities and threats that exist as the learning profession gets its collective arms around the what, why, and how of slicing and dicing more information than ever before.
For me, one of the most powerful chapters in the book is chapter 6, “Stakeholder Perspectives and Needs for Big Learning Data,” because it talks about impact, the real heart of the issue. “Analytics and business go hand in hand,” the authors say. I believe that learning and business go hand in hand too. Training professionals are wise to make their value proposition to the organization in the language of business. This is something I talked about in depth in Presenting Learning. More importantly, for learning to really be the business driver it can be, it is incumbent on training professionals to know and understand the business, who the stakeholders are, and how learning can help those stakeholders achieve their objectives. Big data holds the promise of new insights and of exploring new ways to drive results. It is literally untapped potential at our fingertips.
In Silver’s 2012 book, The Signal and the Noise: Why So Many Predictions Fail but Some Don’t, he states, “The numbers have no way of speaking for themselves. We speak for them. We imbue them with meaning. Like Caesar, we may construe them in self-serving ways that are detached from their objective reality.” This is the exact challenge identified and addressed in the book you are now reading.
We have access to volumes of data but we must understand what it can tell us, what it does tell us, and as importantly what it can’t and doesn’t tell us. As training professionals, we take that information and layer it over the organizational goals we are seeking to support, the gaps we are trying to close, and the engagement and retention metrics we are trying to improve. And then we create courses, programs, initiatives, and processes that have sustained business impact.
Big Learning Data addresses all of this. From explaining why it’s important to the field, to identifying impacts on and cautions for practitioners, to offering case studies that frame the discussion, this book is an important and timely work that every learning professional should read. I believe we owe Elliott and his team a debt of gratitude for bringing this book to us at this critical time. Always forward thinking, Elliott is calling attention to the next transformative opportunity for our field.
Big learning data can empower us to develop the knowledge and skills of professionals around the world in ways that we’ve never been able to do before. It’s never been a more exciting time to be in the learning profession.
—Tony Bingham September 2013
INTRODUCTION
We live in an extraordinary time in history when it comes to the volume of data that exists around us and the volume that is being created. Data are everywhere. Consider this: Intel Corporation estimates that the world generates 1 petabyte (1,000 terabytes) of data every 11 seconds, or the equivalent of 13 years of high-definition (HD) video (Finnan, 2013). The proliferation of devices such as PCs and smartphones worldwide, increased Internet access within emerging markets, and the boost in data from machines such as surveillance cameras or smart meters have all contributed to the doubling of the digital universe within the past two years alone. There is now a mammoth 2.8 ZB (zettabytes), according to a December report titled “IDC Digital Universe,” which was sponsored by EMC Corp.
This has opened the door to the world of big data. Big data is generated and affects our lives on a daily basis: According to a Cisco report in June 2012, big data solutions could help reduce traffic jams or even eliminate them with predictive, real-time analysis on traffic flows. The data could feed immediate changes to traffic signals, digital signs, and routing—before backups begin. Paper receipts from retailers and banks that clutter one’s wallet are moving toward replacement by electronic records. Businesses could enrich these records through contextual and comparative information. The report also noted that individuals could manage, share, monetize, and utilize the data through, for example, budget management and health advice applications. As of early 2012, the big data market stood at just more than $5 billion based on related software, hardware, and services revenue, according to market research firm Wikibon. The total big data market reached $11.4 billion in 2012, ahead of Wikibon’s 2011 forecast. The big data market is projected to reach $18.1 billion in 2013, an annual growth of 61 percent. This puts it on pace to exceed $47 billion by 2017, the report said.
What is big data, exactly? Definitions of big data vary. There are, however, several common characteristics in these definitions. The term generally describes three aspect