But many of those failures are preventable. The Lean Startup is a new approach being adopted across the globe, changing the way companies are built and new products are launched. Eric Ries defines a startup as an organization dedicated to creating something new under conditions of extreme uncertainty. This is just as true for one person in a garage or a group of seasoned professionals in a Fortune 500 boardroom. What they have in common is a mission to penetrate that fog of uncertainty to discover a successful path to a sustainable business.The Lean Startup approach fosters companies that are both more capital efficient and that leverage human creativity more effectively. Inspired by lessons from lean manufacturing, it relies on "validated learning," rapid scientific experimentation, as well as a number of counter-intuitive practices that shorten product development cycles, measure actual progress without resorting to vanity metrics, and learn what customers really want. It enables a company to shift directions with agility, altering plans inch by inch, minute by minute.Rather than wasting time creating elaborate business plans, The Lean Startup offers entrepreneurs - in companies of all sizes - a way to test their vision continuously, to adapt and adjust before it's too late. Ries provides a scientific approach to creating and managing successful startups in a age when companies need to innovate more than ever.

    In this book, you'll learn how to become an entrepreneur, driving your career in the direction of your choosing. You'll learn how to build your software development career step by step, following the same path that you would follow if you were building, marketing, and selling a product. After all, your skills themselves are a product. The choices you make about which technologies to focus on and which business domains to master have at least as much impact on your success as your technical knowledge itself--don't let those choices be accidental. We'll walk through all aspects of the decision-making process, so you can ensure that you're investing your time and energy in the right areas. You'll develop a structured plan for keeping your mind engaged and your skills fresh. You'll learn how to assess your skills in terms of where they fit on the value chain, driving you away from commodity skills and toward those that are in high demand. Through a mix of high-level, thought-provoking essays and tactical "Act on It" sections, you will come away with concrete plans you can put into action immediately. You'll also get a chance to read the perspectives of several highly successful members of our industry from a variety of career paths. As with any product or service, if nobody knows what you're selling, nobody will buy. We'll walk through the often-neglected world of marketing, and you'll create a plan to market yourself both inside your company and to the industry in general. Above all, you'll see how you can set the direction of your career, leading to a more fulfilling and remarkable professional life.

    From Adam Smith and Andrew Carnegie to Bill Gates and Warren Buffett, The Business Book is perfect for college students, would-be entrepreneurs, or anyone interested in how business works.The Business Book is the perfect primer to key theories of business and management, covering inspirational business ideas, business strategy and alternative business models. One hundred key quotations introduce you to the work of great commercial thinkers, leaders, and gurus from Henry Ford to Steve Jobs, and to topics spanning from start-ups to ethics.

    Through consecutive “hook cycles,” these products reach their ultimate goal of bringing users back again and again without depending on costly advertising or aggressive messaging.Hooked is based on Eyal’s years of research, consulting, and practical experience. He wrote the book he wished had been available to him as a start-up founder—not abstract theory, but a how-to guide for building better products. Hooked is written for product managers, designers, marketers, start-up founders, and anyone who seeks to understand how products influence our behavior.Eyal provides readers with:• Practical insights to create user habits that stick.• Actionable steps for building products people love.• Fascinating examples from the iPhone to Twitter, Pinterest to the Bible App, and many other habit-forming products.

    What failed startups don't have are enough customers.Founders and employees fail to spend time thinking about (and working on) traction in the same way they work on building a product. This shortsighted approach has startups trying random tactics - some ads, a blog post or two - in an unstructured way that's guaranteed to fail. This book changes that. Traction Book provides startup founders and employees with the framework successful companies have used to get traction. It allows you to think about which marketing channels make sense for you, given your industry and company stage. This framework has been used by founders like Jimmy Wales (Wikipedia), Alexis Ohanian (Reddit), Paul English (Kayak.com), and Alex Pachikov (Evernote) to build some of the biggest companies and organizations in the world. We interviewed each of the above founders - along with 35+ others - and pulled out the repeatable tactics and strategies they used to get traction. We then cover every possible marketing channel you can use to get traction, and show you which channels will be your key to growth. This book shows you how to grow at a time when getting traction is more important than ever. Below are the channels we cover in the book:Viral Marketing Public Relations (PR) Unconventional PR Search Engine Marketing (SEM) Social and Display Ads Offline Ads Search Engine Optimization (SEO) Content Marketing Email Marketing Engineering as Marketing Target Market Blogs Business Development (BD) Sales Affiliate Programs Existing Platforms Trade Shows Offline Events Speaking Engagements Community BuildingThis book draws on interviews with the following individuals: Jimmy Wales, Co-founder of Wikipedia Alexis Ohanian, Co-founder of reddit Eric Ries, Author of The Lean Startup Rand Fishkin, Founder of SEOmoz Noah Kagan, Founder of AppSumo Patrick McKenzie, CEO of Bingo Card Creator Sam Yagan, Co-founder of OkCupid Andrew Chen, Investor at 500 Startups Justin Kan, Founder of Justin.tv Mark Cramer, CEO of SurfCanyon Colin Nederkoorn, CEO of Customer.io Jason Cohen, Founder of WP Engine Chris Fralic, Partner at First Round Paul English, CEO of Kayak.com Rob Walling, Founder of MicroConf Brian Riley, Co-founder of SlidePad Steve Welch, Co-founder of DreamIt Jason Kincaid, Blogger at TechCrunch Nikhil Sethi, Founder of Adaptly Rick Perreault, CEO of Unbounce Alex Pachikov, Co-founder of Evernote David Skok, Partner at Matrix Ashish Kundra, CEO of myZamana David Hauser, Founder of Grasshopper Matt Monahan, CEO of Inflection Jeff Atwood, Co-founder of Discourse Dan Martell, CEO of Clarity.fm Chris McCann, Founder of StartupDigest Ryan Holiday, Exec at American Apparel Todd Vollmer, Enterprise Sales Veteran Sandi MacPherson, Founder of Quibb Andrew Warner, Founder of Mixergy Sean Murphy, Founder of SKMurphy Satish Dharmaraj, Partner at Redpoint Garry Tan, Partner at Y Combinator Steve Barsh, CEO of Packlate Michael Bodekaer, Co-founder of Smart Launch Zack Linford, Founder of Optimozo

    This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company, from analysts and management to the C-Suite and the board.Through interviews and examples from data scientists and analytics leaders in a variety of industries, author Carl Anderson explains the analytics value chain you need to adopt when building predictive business models—from data collection and analysis to the insights and leadership that drive concrete actions. You’ll learn what works and what doesn’t, and why creating a data-driven culture throughout your organization is essential. Start from the bottom up: learn how to collect the right data the right way Hire analysts with the right skills, and organize them into teams Examine statistical and visualization tools, and fact-based story-telling methods Collect and analyze data while respecting privacy and ethics Understand how analysts and their managers can help spur a data-driven culture Learn the importance of data leadership and C-level positions such as chief data officer and chief analytics officer

    I'm going to share that mindset with you — along with hundreds of actionable techniques and proven habits — so you can shortcut those years.Introducing The Effective Engineer — the only book designed specifically for today's software engineers, based on extensive interviews with engineering leaders at top tech companies, and packed with hundreds of techniques to accelerate your career.For two years, I embarked on a quest seeking an answer to one question:How do the most effective engineers make their efforts, their teams, and their careers more successful?I interviewed and collected stories from engineering VPs, directors, managers, and other leaders at today's top software companies: established, household names like Google, Facebook, Twitter, and LinkedIn; rapidly growing mid-sized companies like Dropbox, Square, Box, Airbnb, and Etsy; and startups like Reddit, Stripe, Instagram, and Lyft.These leaders shared stories about the most valuable insights they've learned and the most common and costly mistakes that they've seen engineers — sometimes themselves — make.This is just a small sampling of the hard questions I posed to them:- What engineering qualities correlate with future success?- What have you done that has paid off the highest returns?- What separates the most effective engineers you've worked with from everyone else?- What's the most valuable lesson your team has learned in the past year?- What advice do you give to new engineers on your team? Everyone's story is different, but many of the lessons share common themes.You'll get to hear stories like:- How did Instagram's team of 5 engineers build and support a service that grew to over 40 million users by the time the company was acquired?- How and why did Quora deploy code to production 40 to 50 times per day?- How did the team behind Google Docs become the fastest acquisition to rewrite its software to run on Google's infrastructure?- How does Etsy use continuous experimentation to design features that are guaranteed to increase revenue at launch?- How did Facebook's small infrastructure team effectively operate thousands of database servers?- How did Dropbox go from barely hiring any new engineers to nearly tripling its team size year-over-year? What's more, I've distilled their stories into actionable habits and lessons that you can follow step-by-step to make your career and your team more successful.The skills used by effective engineers are all learnable.And I'll teach them to you. With The Effective Engineer, I'll teach you a unifying framework called leverage — the value produced per unit of time invested — that you can use to identify the activities that produce disproportionate results.Here's a sneak peek at some of the lessons you'll learn. You'll learn how to:- Prioritize the right projects and tasks to increase your impact.- Earn more leeway from your peers and managers on your projects.- Spend less time maintaining and fixing software and more time building and shipping new features.- Produce more accurate software estimates.- Validate your ideas cheaply to reduce wasted work.- Navigate organizational and people-related bottlenecks.- Find the appropriate level of code reviews, testing, abstraction, and technical debt to balance speed and quality.- Shorten your debugging workflow to increase your iteration speed.

    You will learn how to systematically understand, design, and implement a new business model or analyze and renovate an old one.2) Co-created by 470 strategy practitionersBusiness Model Generation practices what it preaches. Co-authored by 470 Business Model Canvas practitioners from 45 countries, the book was financed and produced independently of the traditional publishing industry. It features a tightly-integrated, visual, lie-flat design that enables immediate hands-on use.3) Designed for doersBusiness Model Generation is for those ready to abandon outmoded thinking and embrace new, innovative models of value creation: executives, consultants, entrepreneurs and leaders of all organizations.

    Millions will fail. Millions more will be received with yawns. A rare few will establish the most profound connection, in which presenter and audience understand each other perfectly, discover common ground and, together, decide to act.

    Drucker reminds us, is the ability to "get the right things done." This usually involves doing what other people have overlooked as well as avoiding what is unproductive. Intelligence, imagination, and knowledge may all be wasted in an executive job without the acquired habits of mind that mold them into results.Drucker identifies five practices essential to business effectiveness that can, and must, be learned: Managing time Choosing what to contribute to the organization Knowing where and how to mobilize strength for best effect Setting the right priorities Knitting all of them together with effective decision-makingRanging widely through the annals of business and government, Peter F. Drucker demonstrates the distinctive skill of the executive and offers fresh insights into old and seemingly obvious business situations.

    Topics covered range from the difference between deductive and inductive reasoning, to a discussion of how to highlight the structure of information.

    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    Clear, powerful and urgent, it's a must read for anyone who cares about where they work and how they work."--Seth Godin, author of This is Marketing "This book is a breath of fresh air. Read it now, and make sure your boss does too."--Adam Grant, New York Times bestselling author of Give and Take, Originals, and Option B with Sheryl Sandberg When fast-scaling startups and global organizations get stuck, they call Aaron Dignan. In this book, he reveals his proven approach for eliminating red tape, dissolving bureaucracy, and doing the best work of your life.He's found that nearly everyone, from Wall Street to Silicon Valley, points to the same frustrations: lack of trust, bottlenecks in decision making, siloed functions and teams, meeting and email overload, tiresome budgeting, short-term thinking, and more.Is there any hope for a solution? Haven't countless business gurus promised the answer, yet changed almost nothing about the way we work?That's because we fail to recognize that organizations aren't machines to be predicted and controlled. They're complex human systems full of potential waiting to be released.Dignan says you can't fix a team, department, or organization by tinkering around the edges. Over the years, he has helped his clients completely reinvent their operating systems--the fundamental principles and practices that shape their culture--with extraordinary success.Imagine a bank that abandoned traditional budgeting, only to outperform its competition for decades. An appliance manufacturer that divided itself into 2,000 autonomous teams, resulting not in chaos but rapid growth. A healthcare provider with an HQ of just 50 people supporting over 14,000 people in the field--that is named the "best place to work" year after year. And even a team that saved $3 million per year by cancelling one monthly meeting.Their stories may sound improbable, but in Brave New Work you'll learn exactly how they and other organizations are inventing a smarter, healthier, and more effective way to work. Not through top down mandates, but through a groundswell of autonomy, trust, and transparency.Whether you lead a team of ten or ten thousand, improving your operating system is the single most powerful thing you can do. The only question is, are you ready?

    This internationally recognized standard provides the essential tools to practice project management and deliver organizational results.

    Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.