The findings will surprise many readers and, quite frankly, upset others.The ChallengeBuilt to Last, the defining management study of the nineties, showed how great companies triumph over time and how long-term sustained performance can be engineered into the DNA of an enterprise from the very beginning. But what about the company that is not born with great DNA? How can good companies, mediocre companies, even bad companies achieve enduring greatness? The StudyFor years, this question preyed on the mind of Jim Collins. Are there companies that defy gravity and convert long-term mediocrity or worse into long-term superiority? And if so, what are the universal distinguishing characteristics that cause a company to go from good to great?The StandardsUsing tough benchmarks, Collins and his research team identified a set of elite companies that made the leap to great results and sustained those results for at least fifteen years. How great? After the leap, the good-to-great companies generated cumulative stock returns that beat the general stock market by an average of seven times in fifteen years, better than twice the results delivered by a composite index of the world's greatest companies, including Coca-Cola, Intel, General Electric, and Merck. The ComparisonsThe research team contrasted the good-to-great companies with a carefully selected set of comparison companies that failed to make the leap from good to great. What was different? Why did one set of companies become truly great performers while the other set remained only good? The FindingsThe findings of the Good to Great study will surprise many readers and shed light on virtually every area of management strategy and practice. The findings include:Level 5 Leaders: The research team was shocked to discover the type of leadership required to achieve greatness.The Hedgehog Concept (Simplicity within the Three Circles): To go from good to great requires transcending the curse of competence.A Culture of Discipline: When you combine a culture of discipline with an ethic of entrepreneurship, you get the magical alchemy of great results. Technology Accelerators: Good-to-great companies think differently about the role of technology.The Flywheel and the Doom Loop: Those who launch radical change programs and wrenching restructurings will almost certainly fail to make the leap.

    Womack, Chairman and Founder, Lean Enterprise Institute. This game-changing book puts you behind the curtain of Toyota, providing new insight into the legendary automaker's management practices and offering practical guidance for leading and developing people in a way that makes the best use of their brainpower. Drawing on six years of research into Toyota's employee-management routines, Toyota Kata examines and elucidates, for the first time, the company's organizational routines--called kata--that power its success with continuous improvement and adaptation. The book also reaches beyond Toyota to explain issues of human behavior in organizations and provide specific answers to questions such as: How can we make improvement and adaptation part of everyday work throughout the organization? How can we develop and utilize the capability of everyone in the organization to repeatedly work toward and achieve new levels of performance? How can we give an organization the power to handle dynamic, unpredictable situations and keep satisfying customers? Mike Rother explains how to improve our prevailing management approach through the use of two kata: Improvement Kata--a repeating routine of establishing challenging target conditions, working step-by-step through obstacles, and always learning from the problems we encounter; and Coaching Kata: a pattern of teaching the improvement kata to employees at every level to ensure it motivates their ways of thinking and acting. With clear detail, an abundance of practical examples, and a cohesive explanation from start to finish, Toyota Kata gives executives and managers at any level actionable routines of thought and behavior that produce superior results and sustained competitive advantage.

    Christensen). We've combed through hundreds of Harvard Business Review articles to select the most important ones to help you maximize yourself.HBR's 10 Must Reads on Managing Yourself will inspire you to:Stay engaged throughout your 50+-year work lifeTap into your deepest valuesSolicit candid feedbackReplenish physical and mental energyBalance work, home, community, and selfSpread positive energy throughout your organizationRebound from tough timesDecrease distractibility and frenzyDelegate and develop employees' initiativeThis collection of best-selling articles includes: bonus article “How Will You Measure Your Life?” by Clayton M. Christensen, "Managing Oneself," "Management Time: Who's Got the Monkey?" "How Resilience Works," "Manage Your Energy, Not Your Time," "Overloaded Circuits: Why Smart People Underperform," "Be a Better Leader, Have a Richer Life," "Reclaim Your Job," "Moments of Greatness: Entering the Fundamental State of Leadership," "What to Ask the Person in the Mirror," and "Primal Leadership: The Hidden Driver of Great Performance."

    Uber had catapulted to the top of the tech world, yet for many came to symbolize everything wrong with Silicon Valley.Award-winning New York Times technology correspondent Mike Isaac’s Super Pumped presents the dramatic rise and fall of Uber, set against an era of rapid upheaval in Silicon Valley. Backed by billions in venture capital dollars and led by a brash and ambitious founder, Uber promised to revolutionize the way we move people and goods through the world. A near instant “unicorn,” Uber seemed poised to take its place next to Amazon, Apple, and Google as a technology giant.What followed would become a corporate cautionary tale about the perils of startup culture and a vivid example of how blind worship of startup founders can go wildly wrong. Isaac recounts Uber’s pitched battles with taxi unions and drivers, the company’s toxic internal culture, and the bare-knuckle tactics it devised to overcome obstacles in its quest for dominance. With billions of dollars at stake, Isaac shows how venture capitalists asserted their power and seized control of the startup as it fought its way toward its fateful IPO.Based on hundreds of interviews with current and former Uber employees, along with previously unpublished documents, Super Pumped is a page-turning story of ambition and deception, obscene wealth, and bad behavior that explores how blistering technological and financial innovation culminated in one of the most catastrophic twelve-month periods in American corporate history.

    Now more than ever, managers must know how to tease insight from data--to understand where the numbers come from, make sense of them, and use them to inform tough decisions. How do you get started?Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes three key steps in the data analysis process, so you can get the information you need, study the data, and communicate your findings to others.You'll learn how to: Identify the metrics you need to measure Run experiments and A/B tests Ask the right questions of your data experts Understand statistical terms and concepts Create effective charts and visualizations Avoid common mistakes

    In this groundbreaking follow-up to the bestselling Crush It!, Vaynerchuk—one of Bloomberg Businessweek’s “20 People Every Entrepreneur Should Follow”—looks beyond a numbers-based analysis to explore the value of social interactions in building our economy.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    Although the 80/20 principle has long influenced today's business world, author Richard Koch reveals how the principle works and shows how we can use it in a systematic and practical way to vastly increase our effectiveness, and improve our careers and our companies.The unspoken corollary to the 80/20 principle is that little of what we spend our time on actually counts. But by concentrating on those things that do, we can unlock the enormous potential of the magic 20 percent, and transform our effectiveness in our jobs, our careers, our businesses, and our lives.

    For more than three decades, Zig Ziglar, one of the great motivators of our age, has traveled the world, encouraging, uplifting, and inspiring audiences. His groundbreaking best-seller, See You at the Top, remains an authentic American classic. This revised and updated edition stresses the importance of honesty, loyalty, faith, integrity, and strong personal character.

    Bill Bryson’s A Walk in the Woods is one example. Richard Feynman’s “Surely You’re Joking, Mr. Feynman!” is another. Now comes Youngme Moon’s Different, a book for “people who don’t read business books.” Actually, it’s more like a personal conversation with a friend who has thought deeply about how the world works … and who gets you to see that world in a completely new light.  If there is one strain of conventional wisdom pervading every company in every industry, it’s the absolute importance of “competing like crazy.” Youngme Moon’s message is simply “Get off this treadmill that’s taking you nowhere. Going tit for tat and adding features, augmentations, and gimmicks to beat the competition has the perverse result of making you like everyone else.” Different provides a highly original perspective on what it means to offer something that is meaningfully different—different in a manner that is both fundamental and comprehensive.  Youngme Moon identifies the outliers, the mavericks, the iconoclasts—the players who have thoughtfully rejected orthodoxy in favor of an approach that is more adventurous. Some are even “hostile,” almost daring you to buy what they are selling. The MINI Cooper was launched with fearless abandon: “Worried that this car is too small? Look here. It’s even smaller than you think.”  These are players that strike a genuine chord with even the most jaded consumers. In fact, almost every success story of the past two decades has been an exception to the rule. Simply go to your computer and compare AOL and Yahoo! with Google. The former pile on feature upon feature to their home pages, while Google is like an austere boutique, dominating a category filled with “extras.” Different shows how to succeed in a world where conformity reigns…but exceptions rule.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    Gates stresses the need for managers to view technology not as overhead but as a strategic asset, and offers detailed examples from Microsoft, GM, Dell, and many other successful companies. Companion Web site.

    No longer. A new generation of tools and massive amounts of available data make it easy for anyone to create visualizations that communicate ideas far more effectively than generic spreadsheet charts ever could.What’s more, building good charts is quickly becoming a need-to-have skill for managers. If you’re not doing it, other managers are, and they’re getting noticed for it and getting credit for contributing to your company’s success.In Good Charts, dataviz maven Scott Berinato provides an essential guide to how visualization works and how to use this new language to impress and persuade. Dataviz today is where spreadsheets and word processors were in the early 1980s—on the cusp of changing how we work. Berinato lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping.This book is much more than a set of static rules for making visualizations. It taps into both well-established and cutting-edge research in visual perception and neuroscience, as well as the emerging field of visualization science, to explore why good charts (and bad ones) create “feelings behind our eyes.” Along the way, Berinato also includes many engaging vignettes of dataviz pros, illustrating the ideas in practice.Good Charts will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas.

    Get a grip and gain control with the Entrepreneurial Operating System (EOS). Inside Traction, you’ll discover simple yet powerful ways to run your company with more focus, growth and enjoyment. Based on years of real-world implementation, the EOS is a practical method for achieving the business success you have always envisioned.

    The pass was intercepted and the Seahawks lost. Critics called it the dumbest play in history. But was the call really that bad? Or did Carroll actually make a great move that was ruined by bad luck?Even the best decision doesn't yield the best outcome every time. There's always an element of luck that you can't control, and there is always information that is hidden from view. So the key to long-term success (and avoiding worrying yourself to death) is to think in bets: How sure am I? What are the possible ways things could turn out? What decision has the highest odds of success? Did I land in the unlucky 10% on the strategy that works 90% of the time? Or is my success attributable to dumb luck rather than great decision making?Annie Duke, a former World Series of Poker champion turned business consultant, draws on examples from business, sports, politics, and (of course) poker to share tools anyone can use to embrace uncertainty and make better decisions. For most people, it's difficult to say "I'm not sure" in a world that values and, even, rewards the appearance of certainty. But professional poker players are comfortable with the fact that great decisions don't always lead to great outcomes and bad decisions don't always lead to bad outcomes.By shifting your thinking from a need for certainty to a goal of accurately assessing what you know and what you don't, you'll be less vulnerable to reactive emotions, knee-jerk biases, and destructive habits in your decision making. You'll become more confident, calm, compassionate and successful in the long run.