This book charts the experiences, pitfalls and knowledge behind leading scientific ideas to successful startups. Written by one of Switzerland's top serial entrepreneurs, this book is a must-read for scientists and academicians who want to see their idea turn into a product and change the market. It is also pertinent for finance and business professionals who aspire to become technology entrepreneurs. Starting with personal qualities of an entrepreneur, Anil Sethi discusses successful ideas, technology evaluation, team formation, patents and investor expectations. To guide the entrepreneur, this book also analyzes deal closing, equity conversion and ideal exit strategies to follow. Ultimately Anil Sethi reveals the 'inside track' which helps understand what drives entrepreneurs and what they wouldn't admit.

WALL STREET JOURNAL BESTSELLER Every business owner dreams of success, but the majority of businesses are doomed to fail. This book offers a journey through the pitfalls that cause 90% of companies to crash—and the crucial remedies entrepreneurs can use to avoid (or fix) them. Kim Hvidkjær was 29 years old when he became a millionaire. Two years later, after a cluster of disasters, he found himself basically broke. Now, having rebuilt his fortune as the founder of several successful enterprises and studied thousands of failed startups, Hvidkjær has become an expert in failure: what it means, what it looks like, and the strategies that business owners can use to prevent it. In How to F*ck Up Your Startup, he takes us on an entertaining and enlightening journey through the complex patterns of failure in the life cycle of a business, covering: Attitude mistakes Business model missteps Market research snafus Funding and financial blunders Product development errors Organization oversights Sales slip-ups Growing pains Most important, he tackles what to do when your business has gone wrong. Hvidkjær fleshes out a tangible, usable blueprint for entrepreneurs looking to learn (the easy way) from the mistakes of businesses gone before. Chock-full of easy-to-follow business lessons that will keep you from f*cking up your startup, this down-to-earth guide offers crucial, actionable advice for seasoned business owners and startup founders alike. A masterclass in failure, How to F*ck Up Your Startup is required reading for reaching success.

Start strong with essential early-stage guidance from the VC perspective Startup Opportunities is the go-to guide for anyone with a great business idea. Whether it's your first business or your fifth, realistic assessment from the outset can save you a lot of time and money; why pour your heart and soul into a venture that is doomed to fail? Instead, position yourself to win from the very beginning. In this book, accomplished venture capitalists share their insight on startups and entrepreneurs: who will fail, who will succeed and why, and what you should do to give your business the very best shot at becoming a global success story. You'll learn how to evaluate your business with a critical eye, and how early customer development can be key in turning a good idea into a great opportunity. If you're serious about building a business that lasts, this book provides invaluable guidance that you really cannot miss. More than five million people will launch a business this year, and many of them will be great ideas—yet few will be around in five years, and even fewer in ten years. A great idea is not enough to build a successful business. You need to fortify your idea with the proper foundation, and a scaffolding of good planning and early action. This book shows you how. Assess your business's viability using the 10x Rule Learn when you can quit your day job—or not Take the key steps to making your business succeed Discover the opportunities worth selling everything for This expert author team has witnessed more than 30,000 pitches over two decades, and have participated in over 500 startup launches. Startup Opportunities gives you the benefit of their experience to help you start strong and stay strong.

Innovation is a translation of a new method, idea, or product into reality and profit. It is a process of connected steps that accumulates into a brand reputation required for success. Unlike Fortune 500 companies, whose projects are self-funded, a start-up must simultaneously have a value proposition that attracts a customer (for revenue), investors (for capital), and acquirers (for a liquidity event or IPO). A high percentage of start-ups fail before attaining positive cashflow, due to a variety of reasons that are detailed in this book. Avoiding the pitfalls and wrong turns are the goals of this book. Innovation, Commercialization, and Start-Ups in Life Sciences details the methodologies necessary to create a successful life science start-up from initiation to exit. Written by an expert who has worked with more nearly 500 life science start-ups, this book discusses specific processes and investor milestones that must be navigated to align customer, funder, and acquirer needs. Successful commercialization requires attention to multiple constituents, such as investors, regulators, and customers. Investors require liquidity for their return, which is achieved through selling their stock in a public or private sale. The reader will gain an appreciation for the necessary data, partnerships, and skills needed to create a competitive and sustainable company. The author discusses such specific issues as customer problems, demonstrating sales access, and ensuring intellectual property is impervious to competitive advancement. This book is intended to be suitable for entrepreneurs, venture capitalists, and investors in both business and academic settings. These organizations have specific departments, such as R&D, operations, business development, legal, regulatory, and marketing, that would also benefit from this book. FEATURES Focuses specifically on life science start-ups Examines how to determine a company valuation and future "fundable milestones" Explores how to align regulatory and clinical strategies Discusses intellectual property derived from a university or individual through formation to exit. Reviews how start‐ups must simultaneously meet the needs of multiple constituencies at once: investors, regulators, customers and exit candidates James F. Jordan is an author, consultant, and speaker. He is a Distinguished Service Professor of Healthcare & Biotechnology Management, a former Fortune 100 executive, and a managing director of a venture fund. Access the Support Material: https://healthcaredata.center/ Cover design by Sarah Mailhott.

Under Gordon Binder's leadership, Amgen became the world's largest and most successful biotech company in the world. This text describes what it really takes to manage risk, financing, creative employees, and intellectual property on the international stage.

What the world can learn from Israel's meteoric economic success. Start-Up Nation addresses the trillion dollar question: How is it that Israel -- a country of 7.1 million, only 60 years old, surrounded by enemies, in a constant state of war since its founding, with no natural resources-- produces more start-up companies than large, peaceful, and stable nations like Japan, China, India, Korea, Canada and the UK? With the savvy of foreign policy insiders, Senor and Singer examine the lessons of the country's adversity-driven culture, which flattens hierarchy and elevates informality-- all backed up by government policies focused on innovation. In a world where economies as diverse as Ireland, Singapore and Dubai have tried to re-create the "Israel effect", there are entrepreneurial lessons well worth noting. As America reboots its own economy and can-do spirit, there's never been a better time to look at this remarkable and resilient nation for some impressive, surprising clues.

The non-technical guide to building a booming tech-enabled business Thinking of starting a technology-enabled business? Or maybe you just want to increase your technology mojo so you can do your job better? You do not need to learn programming to participate in the development of today’s hottest technologies. But there are a few easy-to-grasp foundation concepts that will help you engage with a technical team. Starting a Tech Business explains in practical, actionable terms how to formulate and reality test new ideas package what you learn into frameworks that are highly actionable for engineers understand key foundation concepts about modern software and systems participate in an agile/lean development team as the ‘voice of the customer’ Even if you have a desire to learn to program (and I highly recommend doing whatever unlocks your ‘inner tinkerer’), these foundation concepts will help you target what exactly you want to understand about hands-on technology development. While a decade ago the barriers to creating a technology-enabled business required a pole vault, getting started today only requires a determined step in the right direction. Starting a Tech Business supplies the tools prospective entrepreneurs and business enterprises need to avoid common pitfalls and succeed in the fast-paced world of high-tech business. Successful execution requires thoughtful, evidence-based product formulation, well-articulated design, economic use of systems, adaptive management of technical resources, and empathetic deployment to customers. Starting a Tech Business offers practical checklists and frameworks that business owners, entrepreneurs, and professionals can apply to any tech-based business idea, whether you’re developing software and products or beginning a technology-enabled business. You’ll learn: 1. How to apply today’s leading management frameworks to a tech business 2. How to package your product idea in a way that’s highly actionable for your technical team 3. How to ask the right questions about technology selection and product architecture 4. Strategies to leverage what your technology ecosystem has to offer 5. How to carefully define the roles on your team, and then effectively evaluate candidates 6. The most common disconnects between engineers and business people and how to avoid them 7. How you can apply process design to your tech business without stifling creativity 8. The steps to avoid the most common pitfalls tech founders encounter Now is one of the best times to start a technology-enabled business, and anyone can do it with the right amount and kind of preparation. Starting a Tech Business shows you how to move a product idea to market quickly and inexpensively—and to tap into the stream of wealth that a tech business can provide.

Most startups fail. 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.

The field of data science, big data, machine learning, and artificial intelligence is exciting and complex at the same time. Data science is also rapidly growing with new tools, technologies, algorithms, datasets, and use cases. For a beginner in this field, the learning curve can be fairly daunting. This is where this book helps. The data science solutions book provides a repeatable, robust, and reliable framework to apply the right-fit workflows, strategies, tools, APIs, and domain for your data science projects. This book takes a solutions focused approach to data science. Each chapter meets an end-to-end objective of solving for data science workflow or technology requirements. At the end of each chapter you either complete a data science tools pipeline or write a fully functional coding project meeting your data science workflow requirements. SEVEN STAGES OF DATA SCIENCE SOLUTIONS WORKFLOW Every chapter in this book will go through one or more of these seven stages of data science solutions workflow. STAGE 1: Question. Problem. Solution. Before starting a data science project we must ask relevant questions specific to our project domain and datasets. We may answer or solve these during the course of our project. Think of these questions-solutions as the key requirements for our data science project. Here are some templates that can be used to frame questions for our data science projects. Can we classify an entity based on given features if our data science model is trained on certain number of samples with similar features related to specific classes?Do the samples, in a given dataset, cluster in specific classes based on similar or correlated features?Can our machine learning model recognise and classify new inputs based on prior training on a sample of similar inputs?STAGE 2: Acquire. Search. Create. Catalog.This stage involves data acquisition strategies including searching for datasets on popular data sources or internally within your organisation. We may also create a dataset based on external or internal data sources. The acquire stage may feedback to the question stage, refining our problem and solution definition based on the constraints and characteristics of the acquired datasets. STAGE 3: Wrangle. Prepare. Cleanse.The data wrangle phase prepares and cleanses our datasets for our project goals. This workflow stage starts by importing a dataset, exploring the dataset for its features and available samples, preparing the dataset using appropriate data types and data structures, and optionally cleansing the data set for creating model training and solution testing samples. The wrangle stage may circle back to the acquire stage to identify complementary datasets to combine and complete the existing dataset. STAGE 4: Analyse. Patterns. Explore.The analyse phase explores the given datasets to determine patterns, correlations, classification, and nature of the dataset. This helps determine choice of model algorithms and strategies that may work best on the dataset. The analyse stage may also visualize the dataset to determine such patterns. STAGE 5: Model. Predict. Solve.The model stage uses prediction and solution algorithms to train on a given dataset and apply this training to solve for a given problem. STAGE 6: Visualize. Report. Present.The visualization stage can help data wrangling, analysis, and modeling stages. Data can be visualized using charts and plots suiting the characteristics of the dataset and the desired results.Visualization stage may also provide the inputs for the supply stage.STAGE 7: Supply. Products. Services.Once we are ready to monetize our data science solution or derive further return on investment from our projects, we need to think about distribution and data supply chain. This stage circles back to the acquisition stage. In fact we are acquiring data from someone else's data supply chain.