Empfehlungen basierend auf "Use Case Modeling"

A startup executive and investor draws on expertise developed at the premier venture capital firm Andreessen Horowitz and as an executive at Uber to address how tech’s most successful products have solved the dreaded "cold start problem”—by leveraging network effects to launch and scale toward billions of users. Although software has become easier to build, launching and scaling new products and services remains difficult. Startups face daunting challenges entering the technology ecosystem, including stiff competition, copycats, and ineffective marketing channels. Teams launching new products must consider the advantages of “the network effect,” where a product or service’s value increases as more users engage with it. Apple, Google, Microsoft, and other tech giants utilize network effects, and most tech products incorporate them, whether they’re messaging apps, workplace collaboration tools, or marketplaces. Network effects provide a path for fledgling products to break through, attracting new users through viral growth and word of mouth. Yet most entrepreneurs lack the vocabulary and context to describe them—much less understand the fundamental principles that drive the effect. What exactly are network effects? How do teams create and build them into their products? How do products compete in a market where every player has them? Andrew Chen draws on his experience and on interviews with the CEOs and founding teams of LinkedIn, Twitch, Zoom, Dropbox, Tinder, Uber, Airbnb, and Pinterest to offer unique insights in answering these questions. Chen also provides practical frameworks and principles that can be applied across products and industries.  The Cold Start Problem reveals what makes winning networks thrive, why some startups fail to successfully scale, and, most crucially, why products that create and compete using the network effect are vitally important today.

Economics is not a field that is known for good writing. Charts, yes. Sparkling prose, no.   Except, that is, when it comes to Deirdre Nansen McCloskey. Her conversational and witty yet always clear style is a hallmark of her classic works of economic history, enlivening the dismal science and engaging readers well beyond the discipline. And now she’s here to share the secrets of how it’s done.   Economical Writing is itself economical: a collection of thirty-five pithy rules for making your writing clear, concise, and effective. Proceeding from big-picture ideas to concrete strategies for improvement at the level of the paragraph, sentence, or word, McCloskey shows us that good writing, after all, is not just a matter of taste—it’s a product of adept intuition and a rigorous revision process. Debunking stale rules, warning us that “footnotes are nests for pedants,” and offering an arsenal of readily applicable tools and methods, she shows writers of all levels of experience how to rethink the way they approach their work, and gives them the knowledge to turn mediocre prose into magic.   At once efficient and digestible, hilarious and provocative, Economical Writing lives up to its promise. With McCloskey as our guide, it’s impossible not to see how any piece of writing—on economics or any other subject—can be a pleasure to read.

The foremost authority on innovation and growth presents a path-breaking book every company needs to transform innovation from a game of chance to one in which they develop products and services customers not only want to buy, but are willing to pay premium prices for. How do companies know how to grow? How can they create products that they are sure customers want to buy? Can innovation be more than a game of hit and miss? Harvard Business School professor Clayton Christensen has the answer. A generation ago, Christensen revolutionized business with his groundbreaking theory of disruptive innovation. Now, he goes further, offering powerful new insights. After years of research, Christensen has come to one critical conclusion: our long held maxim—that understanding the customer is the crux of innovation—is wrong. Customers don’t buy products or services; they "hire" them to do a job. Understanding customers does not drive innovation success, he argues. Understanding customer jobs does. The "Jobs to Be Done" approach can be seen in some of the world’s most respected companies and fast-growing startups, including Amazon, Intuit, Uber, Airbnb, and Chobani yogurt, to name just a few. But this book is not about celebrating these successes—it’s about predicting new ones. Christensen contends that by understanding what causes customers to "hire" a product or service, any business can improve its innovation track record, creating products that customers not only want to hire, but that they’ll pay premium prices to bring into their lives. Jobs theory offers new hope for growth to companies frustrated by their hit and miss efforts. This book carefully lays down Christensen’s provocative framework, providing a comprehensive explanation of the theory and why it is predictive, how to use it in the real world—and, most importantly, how not to squander the insights it provides.

Design your networks to successfully manage their growing complexityNetwork professionals have often been told that today’s modern control planes would simplify their networks. The opposite has happened: Technologies like SDN and NFV, although immensely valuable, are exacerbating complexity instead of solving it. Navigating Network Complexity is the first comprehensive guide to managing this complexity in both deployment and day-to-day operations.Russ White and Jeff Tantsura introduce modern complexity theory from the standpoint of the working network engineer, helping you apply it to the practical problems you face every day. Avoiding complex mathematical models, they show how to characterize network complexity, so you can understand it and control it.The authors examine specific techniques and technologies associated with network control planes, including SDNs, fast reroute, segment routing, service chaining, and cloud computing. They reveal how each of these affects network design and complexity and help you anticipate causes of failure in highly complex systems.Next, they turn to modern control planes, examining the fundamental operating principles of SDNs, such as OpenFlow and I2RS, network and other service function virtualization, content distribution networks, Layer 2 fabrics, and service chaining solutions. You’ll learn how each of these might both resolve and increase complexity in network design and operations and what you can do about it.Coverage includes:Defining complexity, understanding its components, and measuring it Mastering a straightforward “state, speed, and surface” model for analyzing complexity Controlling complexity in design, deployment, operations, protocols, and programmable networks Understanding how complex network systems begin to fail and how to prevent failure Recognizing complexity tradeoffs in service virtualization and service chaining Managing new challenges of complexity in virtualized and cloud environments Learning why constructs such as hierarchical design, aggregation, and protocol layering work and when they work best Choosing the right models to contain complexity as your network changesFrom start to finish, Navigating Network Complexity helps you assess the true impact of new network technologies, so they can capture more value with fewer problems.

Fund manager Joel Greenblatt has been beating the Dow (with returns of 50 percent a year) for more than a decade. And now, in this highly accessible guide, he's going to show you how to do it, too. You're about to discover investment opportunities that portfolio managers, business-school professors, and top investment experts regularly miss -- uncharted areas where the individual investor has a huge advantage over the Wall Street wizards. Here is your personal treasure map to special situations in which big profits are possible, including: * Spin-offs * Restructurings * Merger Securities * Mergers * Rights Offerings * Recapitalizations * Bankruptcies * Risk Arbitrage This is a practical and easy-to-use investment reference, filled with case studies, important background information, and all the tools you'll need. All it takes is a little extra time and effort -- and you can be a stock market genius.

Good Strategy/Bad Strategy clarifies the muddled thinking underlying too many strategies and provides a clear way to create and implement a powerful action-oriented strategy for the real world.   Developing and implementing a strategy is the central task of a leader. A good strategy is a specific and coherent response to—and approach for—overcoming the obstacles to progress. A good strategy works by harnessing and applying power where it will have the greatest effect. Yet, Rumelt shows that there has been a growing and unfortunate tendency to equate Mom-and-apple-pie values, fluffy packages of buzzwords, motivational slogans, and financial goals with “strategy.” In Good Strategy/Bad Strategy, he debunks these elements of “bad strategy” and awakens an understanding of the power of a “good strategy.” He introduces nine sources of power—ranging from using leverage to effectively focusing on growth—that are eye-opening yet pragmatic tools that can easily be put to work on Monday morning, and uses fascinating examples from business, nonprofit, and military affairs to bring its original and pragmatic ideas to life. The detailed examples range from Apple to General Motors, from the two Iraq wars to Afghanistan, from a small local market to Wal-Mart, from Nvidia to Silicon Graphics, from the Getty Trust to the Los Angeles Unified School District, from Cisco Systems to Paccar, and from Global Crossing to the 2007–08 financial crisis. Reflecting an astonishing grasp and integration of economics, finance, technology, history, and the brilliance and foibles of the human character, Good Strategy/Bad Strategy stems from Rumelt’s decades of digging beyond the superficial to address hard questions with honesty and integrity.

This book is an in-depth introduction to Erlang, a programming language ideal for any situation where concurrency, fault tolerance, and fast response is essential. Erlang is gaining widespread adoption with the advent of multi-core processors and their new scalable approach to concurrency. With this guide you'll learn how to write complex concurrent programs in Erlang, regardless of your programming background or experience. Written by leaders of the international Erlang community -- and based on their training material -- Erlang Programming focuses on the language's syntax and semantics, and explains pattern matching, proper lists, recursion, debugging, networking, and concurrency. This book helps you: Understand the strengths of Erlang and why its designers included specific features Learn the concepts behind concurrency and Erlang's way of handling it Write efficient Erlang programs while keeping code neat and readable Discover how Erlang fills the requirements for distributed systems Add simple graphical user interfaces with little effort Learn Erlang's tracing mechanisms for debugging concurrent and distributed systems Use the built-in Mnesia database and other table storage features Erlang Programming provides exercises at the end of each chapter and simple examples throughout the book.

Even the smartest among us can feel inept as we fail to figure our which light switch or oven burner to turn on, or whether to push, pull, or slide a door. The fault, argues this fascinating, ingenious—even liberating—book, lies not in ourselves, but in product design that ignores the needs of users and the principles of cognitive psychology.The problems range from ambiguous and hidden controls to arbitrary relationships between controls and functions, coupled with a lack of feedback or other assistance and unreasonable demands on memorization. The book presents examples aplenty—among them, the VCR, computer, and office telephone, all models of how not to design for people.But good, usable design is possible. The rules are simple: make things visible, exploit natural relationships that couple function and control, and make intelligent use of constraints. The goal: guide the user effortlessly to the right action on the right control at the right time. But the designer must care.The author is a world-famous psychologist and pioneer in the application of cognitive science. His aim is to raise the consciousness of both consumers and designers to the delights of products that are easy to use and understand.

THE ULTIMATE GUIDE TO BUILDING AN APP-BASED BUSINESS 'A must read for anyone who wants to start a mobile app business' Riccardo Zacconi, founder and CEO King Digital (maker of Candy Crush Saga) 'A fascinating deep dive into the world of billion-dollar apps. Essential reading for anyone trying to build the next must-have app' Michael Acton Smith, Founder and CEO, Mind Candy Apps have changed the way we communicate, shop, play, interact and travel and their phenomenal popularity has presented possibly the biggest business opportunity in history. In How to Build a Billion Dollar App, serial tech entrepreneur George Berkowski gives you exclusive access to the secrets behind the success of the select group of apps that have achieved billion-dollar success. Berkowski draws exclusively on the inside stories of the billion-dollar app club members, including Instagram, Whatsapp, Snapchat, Candy Crush and Uber to provide all the information you need to create your own spectacularly successful mobile business. He guides you through each step, from an idea scribbled on the back of an envelope, through to finding a cofounder, building a team, attracting (and keeping) millions of users, all the way through to juggling the pressures of being CEO of a billion-dollar company (and still staying ahead of the competition). If you've ever dreamed of quitting your nine to five job to launch your own company, you're a gifted developer, seasoned entrepreneur or just intrigued by mobile technology, How to Build a Billion Dollar App will show you what it really takes to create your own billion-dollar, mobile business.

From Simon & Schuster, Quality of Earnings is an investor's guide to how much money a company is really making.From Thornton L. O'glove, Quality of Earnings is an indispensable guide to determining how much money a company is really making and for buying and selling stocks without making costly blunders.