As Senge makes clear, in the long run the only sustainable competitive advantage is your organization’s ability to learn faster than the competition. The leadership stories in the book demonstrate the many ways that the core ideas in The Fifth Discipline, many of which seemed radical when first published in 1990, have become deeply integrated into people’s ways of seeing the world and their managerial practices. In The Fifth Discipline, Senge describes how companies can rid themselves of the learning “disabilities” that threaten their productivity and success by adopting the strategies of learning organizations—ones in which new and expansive patterns of thinking are nurtured, collective aspiration is set free, and people are continually learning how to create results they truly desire. The updated and revised Currency edition of this business classic contains over one hundred pages of new material based on interviews with dozens of practitioners at companies like BP, Unilever, Intel, Ford, HP, Saudi Aramco, and organizations like Roca, Oxfam, and The World Bank. It features a new Foreword about the success Peter Senge has achieved with learning organizations since the book’s inception, as well as new chapters on Impetus (getting started), Strategies, Leaders’ New Work, Systems Citizens, and Frontiers for the Future. Mastering the disciplines Senge outlines in the book will:• Reignite the spark of genuine learning driven by people focused on what truly matters to them• Bridge teamwork into macro-creativity• Free you of confining assumptions and mindsets• Teach you to see the forest and the trees• End the struggle between work and personal time

    Written by the world’s foremost PowerPivot blogger and practitioner, the book’s concepts and approach are introduced in a simple, step-by-step manner tailored to the learning style of Excel users everywhere. The techniques presented allow users to produce, in hours or even minutes, results that formerly would have taken entire teams weeks or months to produce and include lessons on the difference between calculated columns and measures, how formulas can be reused across reports of completely different shapes, how to merge disjointed sets of data into unified reports, how to make certain columns in a pivot behave as if the pivot were filtered while other columns do not, and how to create time-intelligent calculations in pivot tables such as “Year over Year” and “Moving Averages” whether they use a standard, fiscal, or a complete custom calendar. The “pattern-like” techniques and best practices contained in this book have been developed and refined over two years of onsite training with Excel users around the world, and the key lessons from those seminars costing thousands of dollars per day are now available to within the pages of this easy-to-follow guide.

    We depend more than we realize on wishful thinking and romanticized ideas of history. In the new paperback edition of this fascinating book, a book that has appeared on MSNBC, CNBC, Slashdot.org, Lifehacker.com and in The New York Times, bestselling author Scott Berkun pulls the best lessons from the history of innovation, including the recent software and web age, to reveal powerful and suprising truths about how ideas become successful innovations -- truths people can easily apply to the challenges of today. Through his entertaining and insightful explanations of the inherent patterns in how Einstein’s discovered E=mc2 or Tim Berner Lee’s developed the idea of the world wide web, you will see how to develop existing knowledge into new innovations.Each entertaining chapter centers on breaking apart a powerful myth, popular in the business world despite it's lack of substance. Through Berkun's extensive research into the truth about innovations in technology, business and science, you’ll learn lessons from the expensive failures and dramatic successes of innovations past, and understand how innovators achieved what they did -- and what you need to do to be an innovator yourself. You'll discover:Why problems are more important than solutionsHow the good innovation is the enemy of the greatWhy children are more creative than your co-workersWhy epiphanies and breakthroughs always take timeHow all stories of innovations are distorted by the history effectHow to overcome people’s resistance to new ideasWhy the best idea doesn’t often winThe paperback edition includes four new chapters, focused on appling the lessons from the original book, and helping you develop your skills in creative thinking, pitching ideas, and staying motivated."For centuries before Google, MIT, and IDEO, modern hotbeds of innovation, we struggled to explain any kind of creation, from the universe itself to the multitudes of ideas around us. While we can make atomic bombs, and dry-clean silk ties, we still don’t have satisfying answers for simple questions like: Where do songs come from? Are there an infinite variety of possible kinds of cheese? How did Shakespeare and Stephen King invent so much, while we’re satisfied watching sitcom reruns? Our popular answers have been unconvincing, enabling misleading, fantasy-laden myths to grow strong." -- Scott Berkun, from the text"Berkun sets us free to change the world." -- Guy Kawasaki, author of Art of the StartScott was a manager at Microsoft from 1994-2003, on projects including v1-5 (not 6) of Internet Explorer. He is the author of three bestselling books, Making Things Happen, The Myths of Innovation and Confessions of a Public Speaker. He works full time as a writer and speaker, and his work has appeared in The New York Times, Forbes magazine, The Economist, The Washington Post, Wired magazine, National Public Radio and other media. He regularly contributes to Harvard Business Review and Bloomberg Businessweek, has taught creative thinking at the University of Washington, and has appeared as an innovation and management expert on MSNBC and on CNBC. He writes frequently on innovation and creative thinking at his blog: scottberkun.com and tweets at @berkun.

    The exam is designed to ensure that someone who is handling computer security in a company has a standardized body of knowledge. The book is composed of 10 domains of the Common Body of Knowledge. In each section, it defines each domain. It also provides tips on how to prepare for the exam and take the exam. It also contains CISSP practice quizzes to test ones knowledge. The first domain provides information about risk analysis and mitigation. It also discusses security governance. The second domain discusses different techniques for access control, which is the basis for all the security disciplines. The third domain explains the concepts behind cryptography, which is a secure way of communicating that is understood only by certain recipients. Domain 5 discusses security system design, which is fundamental for operating the system and software security components. Domain 6 is a critical domain in the Common Body of Knowledge, the Business Continuity Planning, and Disaster Recovery Planning. It is the final control against extreme events such as injury, loss of life, or failure of an organization. Domains 7, 8, and 9 discuss telecommunications and network security, application development security, and the operations domain, respectively. Domain 10 focuses on the major legal systems that provide a framework in determining the laws about information system.

    Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts’ predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight, and Tetlock has spent the past decade trying to figure out why. What makes some people so good? And can this talent be taught?   In Superforecasting, Tetlock and coauthor Dan Gardner offer a masterwork on prediction, drawing on decades of research and the results of a massive, government-funded forecasting tournament. The Good Judgment Project involves tens of thousands of ordinary people—including a Brooklyn filmmaker, a retired pipe installer, and a former ballroom dancer—who set out to forecast global events. Some of the volunteers have turned out to be astonishingly good. They’ve beaten other benchmarks, competitors, and prediction markets. They’ve even beaten the collective judgment of intelligence analysts with access to classified information. They are "superforecasters."   In this groundbreaking and accessible book, Tetlock and Gardner show us how we can learn from this elite group. Weaving together stories of forecasting successes (the raid on Osama bin Laden’s compound) and failures (the Bay of Pigs) and interviews with a range of high-level decision makers, from David Petraeus to Robert Rubin, they show that good forecasting doesn’t require powerful computers or arcane methods. It involves gathering evidence from a variety of sources, thinking probabilistically, working in teams, keeping score, and being willing to admit error and change course. Superforecasting offers the first demonstrably effective way to improve our ability to predict the future—whether in business, finance, politics, international affairs, or daily life—and is destined to become a modern classic.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    It seems hard to believe today, but there was a time when Airbnb was the best-kept secret of travel hackers and couch surfers, Pinterest was a niche web site frequented only by bakers and crafters, LinkedIn was an exclusive network for C-suite executives and top-level recruiters, Facebook was MySpace's sorry step-brother, and Uber was a scrappy upstart that didn't stand a chance against the Goliath that was New York City Yellow Cabs.So how did these companies grow from these humble beginnings into the powerhouses they are today? Contrary to popular belief, they didn't explode to massive worldwide popularity simply by building a great product then crossing their fingers and hoping it would catch on. There was a studied, carefully implemented methodology behind these companies' extraordinary rise. That methodology is called Growth Hacking, and it's practitioners include not just today's hottest start-ups, but also companies like IBM, Walmart, and Microsoft as well as the millions of entrepreneurs, marketers, managers and executives who make up the community of GrowthHackers.com.Think of the Growth Hacking methodology as doing for market-share growth what Lean Start-Up did for product development, and Scrum did for productivity. It involves cross-functional teams and rapid-tempo testing and iteration that focuses customers attaining them, retaining them, engaging them, and motivating them to come back and buy more. An accessible and practical toolkit that teams and companies in all industries can use to increase their customer base and market share, this book walks readers through the process of creating and executing their own custom-made growth hacking strategy. It is a must read for any marketer, entrepreneur, innovator or manger looking to replace wasteful big bets and "spaghetti-on-the-wall" approaches with more consistent, replicable, cost-effective, and data-driven results.

    Each is the result of a publicly collaborative process among numerous developers who volunteer their time and energy to create better software.The truth is, however, that the overwhelming majority of free software projects fail. To help you beat the odds, O'Reilly has put together Producing Open Source Software, a guide that recommends tried and true steps to help free software developers work together toward a common goal. Not just for developers who are considering starting their own free software project, this book will also help those who want to participate in the process at any level.The book tackles this very complex topic by distilling it down into easily understandable parts. Starting with the basics of project management, it details specific tools used in free software projects, including version control, IRC, bug tracking, and Wikis. Author Karl Fogel, known for his work on CVS and Subversion, offers practical advice on how to set up and use a range of tools in combination with open mailing lists and archives. He also provides several chapters on the essentials of recruiting and motivating developers, as well as how to gain much-needed publicity for your project.While managing a team of enthusiastic developers -- most of whom you've never even met -- can be challenging, it can also be fun. Producing Open Source Software takes this into account, too, as it speaks of the sheer pleasure to be had from working with a motivated team of free software developers.

    However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice-freeing you to get results using computing power. Bayesian Methods for Hackers illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention. Davidson-Pilon begins by introducing the concepts underlying Bayesian inference, comparing it with other techniques and guiding you through building and training your first Bayesian model. Next, he introduces PyMC through a series of detailed examples and intuitive explanations that have been refined after extensive user feedback. You'll learn how to use the Markov Chain Monte Carlo algorithm, choose appropriate sample sizes and priors, work with loss functions, and apply Bayesian inference in domains ranging from finance to marketing. Once you've mastered these techniques, you'll constantly turn to this guide for the working PyMC code you need to jumpstart future projects. Coverage includes - Learning the Bayesian "state of mind" and its practical implications - Understanding how computers perform Bayesian inference - Using the PyMC Python library to program Bayesian analyses - Building and debugging models with PyMC - Testing your model's "goodness of fit" - Opening the "black box" of the Markov Chain Monte Carlo algorithm to see how and why it works - Leveraging the power of the "Law of Large Numbers" - Mastering key concepts, such as clustering, convergence, autocorrelation, and thinning - Using loss functions to measure an estimate's weaknesses based on your goals and desired outcomes - Selecting appropriate priors and understanding how their influence changes with dataset size - Overcoming the "exploration versus exploitation" dilemma: deciding when "pretty good" is good enough - Using Bayesian inference to improve A/B testing - Solving data science problems when only small amounts of data are available Cameron Davidson-Pilon has worked in many areas of applied mathematics, from the evolutionary dynamics of genes and diseases to stochastic modeling of financial prices. His contributions to the open source community include lifelines, an implementation of survival analysis in Python. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works with the online commerce leader Shopify.

    The Unwritten Laws of Business is such a book. Originally published over 60 years ago as The Unwritten Laws of Engineering, it has sold over 100,000 copies, despite the fact that it has never been available before to general readers. Fully revised for business readers today, here are but a few of the gems you’ll find in this little-known business classic: If you take care of your present job well, the future will take care of itself.The individual who says nothing is usually credited with having nothing to say.Whenever you are performing someone else’s function, you are probably neglecting your own.Martyrdom only rarely makes heroes, and in the business world, such heroes and martyrs often find themselves unemployed.Refreshingly free of the latest business fads and jargon, this is a book that is wise and insightful, capturing and distilling the timeless truths and principles that underlie management and business the world over.The little book with the big history.In the summer of 2005, Business 2.0 published a cover story on Raytheon CEO William Swanson’s self-published pamphlet, Swanson’s Unwritten Rules of Management. Lauded by such chief executives as Jack Welch and Warren Buffett, the booklet becamea quiet phenomenon. As it turned out, much of Swanson’s book drew from a classic of business literature that has been in print for more than sixty years. Now, in a new edition revised and updated for business readers today, we are reissuing the 1944 classic that inspired a number of Swanson’s “rules”: The Unwritten Laws of Business. Filled with sage advice and written in a spare, engaging style, The Unwritten Laws of Business offers insights on working with others, reporting to a boss, organizing a project, running a meeting, advancing your career, and more. Here’s just a sprinkling of the old-fashioned, yet surprisingly relevant, wisdom you’ll find in these pages:If you have no intention of listening to, considering, and perhaps using, someone’s opinion, don’t ask for it.Count any meeting a failure that does not end up with a definite understanding as to what’s going to be done, who’s going to do it, and when.The common belief that everyone can do anything if they just try hard enough is a formula for inefficiency at best and for complete failure at worst.It is natural enough to “look out for Number One first,” but when you do, your associates will be noticeably disinclined to look out for you.Whether you’re a corporate neophyte or seasoned manager, this charming book reveals everything you need to know about the “unwritten” laws of business.

    Many designers and researchers view usability and design as qualitative activities, which do not require attention to formulas and numbers. However, usability practitioners and user researchers are increasingly expected to quantify the benefits of their efforts. The impact of good and bad designs can be quantified in terms of conversions, completion rates, completion times, perceived satisfaction, recommendations, and sales.The book discusses ways to quantify user research; summarize data and compute margins of error; determine appropriate samples sizes; standardize usability questionnaires; and settle controversies in measurement and statistics. Each chapter concludes with a list of key points and references. Most chapters also include a set of problems and answers that enable readers to test their understanding of the material. This book is a valuable resource for those engaged in measuring the behavior and attitudes of people during their interaction with interfaces.

    But have you ever wondered how Google makes billions of dollars while providing search, email, and maps for free? How do they figure out which ads perfectly capture your interests? And how do they search the entire internet so quickly, anyway?By answering real-world questions like this, Swipe to Unlock gives you a peek under the hood of the technology you use every day, decodes technologists' weirdest buzzwords, and shows you how technology is changing the society we live in for better or for worse. Unlock the answers you need to become a better-educated consumer, digital citizen, or technology professional.

    Porter). We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you catalyze your organization's strategy development and execution.HBR's 10 Must Reads on Strategy will inspire you to:• Distinguish your company from rivals• Clarify what your company will and won't do• Craft a vision for an uncertain future• Create blue oceans of uncontested market space• Use the Balanced Scorecard to measure your strategy• Capture your strategy in a memorable phrase• Make priorities explicit• Allocate resources early• Clarify decision rights for faster decision making"This collection of best-selling articles includes: featured article "What Is Strategy?" by Michael E. Porter, "The Five Competitive Forces That Shape Strategy," "Building Your Company's Vision," "Reinventing Your Business Model," "Blue Ocean Strategy," "The Secrets to Successful Strategy Execution," "Using the Balanced Scorecard as a Strategic Management System," "Transforming Corner-Office Strategy into Frontline Action," "Turning Great Strategy into Great Performance," and "Who Has the D? How Clear Decision Roles Enhance Organizational Performance."

    She stared at a long list of logistics--from hiring to firing, from meeting to messaging, from planning to pitching--and faced a thousand questions and uncertainties. How was she supposed to spin teamwork into value? How could she be a good steward of her reports' careers? What was the secret to leading with confidence in new and unexpected situations?Now, having managed dozens of teams spanning tens to hundreds of people, Julie knows the most important lesson of all: great managers are made, not born. If you care enough to be reading this, then you care enough to be a great manager.The Making of a Manager is a modern field guide packed everyday examples and transformative insights, including:* How to tell a great manager from an average manager (illustrations included) * When you should look past an awkward interview and hire someone anyway * How to build trust with your reports through not being a boss * Where to look when you lose faith and lack the answersWhether you're new to the job, a veteran leader, or looking to be promoted, this is the handbook you need to be the kind of manager you wish you had.