A Fortune 500 manufacturing company spent millions attempting to implement a new enterprise resource planning (ERP) system. Across the globe, a 150-employee marketing firm built and tried to implement a proprietary customer relationship management (CRM) s
Author: Phil Simon
What does a Fortune 500 company implementing a multimillion dollar "off the shelf" system have in common with a 150 person firm building its own system? In each case, the organization failed to activate and utilize its system as initially conceived by senior management. These two organizations are hardly alone. On the contrary, more than three in five new systems fail. Many miss their deadlines. Others exceed their initial budgets, often by ghastly amounts. Even systems activated on time and under budget often fail to produce their expected results and almost immediately experience major problems. While the statistics are grim, there is at least some good news: This doesn't have to be the case. Organizations often lack the necessary framework to minimize the chance of system failure at three key points: before, during, and after system implementations. Why New Systems Fail provides such a framework with specific tools, tips, and questions from the perspective of a seasoned, independent consultant with more than a decade of related experience. The book examines in great detail the root causes of system failures. Case studies, examples, and lessons from actual system implementations are presented in an informative, straightforward, and very readable manner. More than a theoretical or technical text, the book offers pragmatic advice for organizations both deploying new systems and maintaining existing ones.
What Plane Crashes, Oil Spills, and Dumb Business Decisions Can Teach Us About How to Succeed at Work and at Home
Author: Chris Clearfield
Category: Business & Economics
NAMED A BEST BOOK OF 2018 BY THE FINANCIAL TIMES A groundbreaking take on how complexity causes failure in all kinds of modern systems--from social media to air travel--this practical and entertaining book reveals how we can prevent meltdowns in business and life "Endlessly fascinating, brimming with insight, and more fun than a book about failure has any right to be, Meltdown will transform how you think about the systems that govern our lives. This is a wonderful book."--Charles Duhigg, author of The Power of Habit and Smarter Faster Better A crash on the Washington, D.C. metro system. An accidental overdose in a state-of-the-art hospital. An overcooked holiday meal. At first glance, these disasters seem to have little in common. But surprising new research shows that all these events--and the myriad failures that dominate headlines every day--share similar causes. By understanding what lies behind these failures, we can design better systems, make our teams more productive, and transform how we make decisions at work and at home. Weaving together cutting-edge social science with riveting stories that take us from the frontlines of the Volkswagen scandal to backstage at the Oscars, and from deep beneath the Gulf of Mexico to the top of Mount Everest, Chris Clearfield and András Tilcsik explain how the increasing complexity of our systems creates conditions ripe for failure and why our brains and teams can't keep up. They highlight the paradox of progress: Though modern systems have given us new capabilities, they've become vulnerable to surprising meltdowns--and even to corruption and misconduct. But Meltdown isn't just about failure; it's about solutions--whether you're managing a team or the chaos of your family's morning routine. It reveals why ugly designs make us safer, how a five-minute exercise can prevent billion-dollar catastrophes, why teams with fewer experts are better at managing risk, and why diversity is one of our best safeguards against failure. The result is an eye-opening, empowering, and entirely original book--one that will change the way you see our complex world and your own place in it.
Properly applied, manufacturing information systems can contribute to a firm's success. Improperly implemented, they have the potential to become a burden that can cause a firm's ultimate demise. The author of this timely book applies his fifteen plus years in systems implementation to explain that failure is seldom the fault of the system, and it can be avoided by learning from the experiences of others. Implementation failure can be traced to several recurring mistakes, and the information in this book can keep your firm from making common (and some unusual) errors that can keep your system from becoming an unqualified success. To demonstrate how a properly implemented system should function, the author uses an integrated approach that brings together virtually all areas of a business into a single applications set to demonstrate why systems fail and how to make sure that yours does not.
For years, organizations have struggled to make sense out of their data. IT projects designed to provide employees with dashboards, KPIs, and business-intelligence tools often take a year or more to reach the finish line...if they get there at all. This has always been a problem. Today, though, it's downright unacceptable. The world changes faster than ever. Speed has never been more important. By adhering to antiquated methods, firms lose the ability to see nascent trends—and act upon them until it's too late. But what if the process of turning raw data into meaningful insights didn't have to be so painful, time-consuming, and frustrating? What if there were a better way to do analytics? Fortunately, you're in luck... Analytics: The Agile Way is the eighth book from award-winning author and Arizona State University professor Phil Simon. Analytics: The Agile Way demonstrates how progressive organizations such as Google, Nextdoor, and others approach analytics in a fundamentally different way. They are applying the same Agile techniques that software developers have employed for years. They have replaced large batches in favor of smaller ones...and their results will astonish you. Through a series of case studies and examples, Analytics: The Agile Way demonstrates the benefits of this new analytics mind-set: superior access to information, quicker insights, and the ability to spot trends far ahead of your competitors.
Now completely revised, this text can help marketers create effective and up-to-date customer-centric e-marketing plans. It combines established approaches to marketing planning with the creative use of new e-models and e-tools.
Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.
As the most comprehensive reference work dealing with knowledge management (KM), this work, consisting of 2 volumes, is essential for the library of every KM practitioner, researcher, and educator. Written by an international array of KM luminaries, its approx. 60 chapters approach knowledge management from a wide variety of perspectives ranging from classic foundations to cutting-edge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic. Novices and experts alike will refer to the authoritative and stimulating content again and again for years to come.