You think you know performance measurement? Think again! Ive been in the investment business for 50 years--this book will make you reexamine many investment decisions you have made. Michael B. Deeb, Chairman, Hampton Securities Limited Dont think for a minute that this book will only enlighten those in business. After reading misLeading Indicators, no one will look at any measurement or statistic without a healthy dose of skepticism. Lawrence Solomon Columnist, Financial Post, Toronto Lively, well-written, and full of fascinating examples. All managers will benefit from these wise insights. Entertaining and insightful -- as well as brimming with practical value. I found misLeading Indicators a joy to read! Phil Rosenzweig, Professor of Strategy, IMD, Lausanne, and author of The Halo Effect. After reading the first chapter, I already had a full page of notes and ideas to take with me to the office tomorrow! Gadi Meir, VP, Strategic Initiatives, Business Real Estate Financing, Wells Fargo Bank, New York. Measurement is central not only to management but to much of life. Green and Gabor provide a much-needed perspective on what we can and cannot measure. Dr. Michael E. Raynor, Director, Deloitte Consulting LLP Author of The Innovators Solution, The Strategy Paradox, and The Innovators Manifesto. To separate the useful from the misleading, Green and Gabor suggest people take the time to understand what goes into a particular indicator, how to define it and whether reasonable inferences can be drawn from it. Then, once it meets those conditions, comes the crucial but too often ignored final question: Does it correspond to reality? Brian Milner, Globe and Mail, Toronto.
About the Author
Philip Green is an applied statistician who advises major corporations on measurement issues. He has been president of Greenbridge Management, Inc. for over 20 years. He has advised major corporations and government agencies across the United States, Canada, South America, Europe, and Asia. Green has published in the business, financial, and scientific press and has a masters degree in statistics from McMaster University in Ontario, Canada. George Gabor, now retired, was professor of statistics at Dalhousie University, Halifax, Nova Scotia since 1977. His published works include the book Recursive Source Coding as well as many scholarly articles. Gabor's latest research focused on uncovering serious logical flaws in the classical statistical methods that medical researchers, scientists, universities, and businesses teach and use.