Business Forecasting

Clayton M. Christensen is a professor of business administration at Harvard Business School. Michael E. Raynor is a director at Deloitte Research. Together, they outline an innovative plan that urges businesses to create disruption rather than fleeing from it. Named one of 2003's Best Business Books by Business Week, this book is a Wall Street Journal and New York Times best seller.

Half of all Americans have money in the stock market, yet economists can't agree on whether investors and markets are rational and efficient, as modern financial theory assumes, or irrational and inefficient, as behavioral economists believe - and as financial bubbles, crashes, and crises suggest. This is one of the biggest debates in economics, and the value or futility of investment management and financial regulation hang on the outcome. In this groundbreaking book, Andrew W. Lo cuts through this debate with a new framework.

More than 20 years ago, Robert S. Kaplan and David P. Norton introduced the balanced scorecard, a revolutionary performance measurement system that allowed organizations to quantify intangible assets such as people, information, and customer relationships. Then, in The Strategy-Focused Organization, Kaplan and Norton showed how organizations achieved breakthrough performance with a management system that put the balanced scorecard into action.

A breakthrough solution is exposed when some unexpected events force Caroline and Paul, a married couple working for their family's retail business, to make a few small changes in the way things are done. A solution that propels the family's regional chain of stores into a very profitable, rapidly growing, international enterprise. If there is a hint of Jonah, from The Goal, reappearing in this novel, it is Henry, the soon-to-retire president and majority owner of the company who logically states that, "if you do not deal directly with the core problem, don't expect significant improvement."

Seeing What's Next is a framework for predicting industry winners and losers. Every day, individuals take action based on how they believe innovation will change industries. Yet these beliefs are largely based on guesswork and incomplete data, and can lead to costly errors in judgment. Internationally renowned innovation expert Clayton M. Christensen and his research partners, Scott D. Anthony and Erik A. Roth, present this guide for predicting outcomes in the evolution of any industry.

We are at the threshold of the new roaring twenties—a resurgent era of technology-driven advancement with greater financial equality and economic expansion. Not unlike the famed decade of the previous century, our next ten years will be filled with striking cultural shifts, new challenges, and, ultimately, abundant financial opportunities. Paul Zane Pilzer sees a better world on the horizon. In The New Roaring Twenties, he imparts inspiration and a new template for escaping the shadow of a global pandemic, with all its fallout, and stepping into the resplendent possibilities of the future.

An introduction for everyone. In this rich, fascinating—surprisingly accessible—introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a "how to" for hands-on techies, the book serves lay listeners and experts alike by covering new case studies and the latest state-of-the-art techniques.

Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger - all by the time he was 30. He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of the website FiveThirtyEight. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data.

Everyone would benefit from seeing further into the future, whether buying stocks, crafting policy, launching a new product, or simply planning the week's meals. 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.

The breakthrough concepts of Pattern Breakers come from the observations of Mike Maples Jr., a seasoned venture capitalist, who noticed something strange. Start-ups like Twitter, Twitch, and Lyft had achieved extraordinary success despite their disregard for “best practices.” In contrast, other startups deemed highly promising often failed, even when they seemed to do everything right. Seeking answers, Maples and coauthor Peter Ziebelman set out to discover the hidden forces that drive extraordinary start-up success.

The economic ground is shifting beneath our feet. The world is becoming more volatile, and people are understandably worried about their financial futures. In this urgent and accessible guide to the crises and opportunities that lie ahead, economist and former Governor of the Bank of Canada Stephen Poloz maps out the powerful tectonic forces that are shaping our future, and the ideas that will allow us to master them.

Imaginez ChatGPT, le génie de l'IA, comme votre acolyte financier. Cet outil d'IA créatif ne se limite plus à la simple conversation, il ouvre tout un monde de possibilités de revenus.

In their book Abundance, best-selling authors and futurists Peter Diamandis and Steven Kotler tackled grand global challenges, such as poverty, hunger, and energy. Then, in Bold, they chronicled the use of exponential technologies that allowed the emergence of powerful new entrepreneurs. Now the best-selling authors are back with The Future Is Faster Than You Think, a blueprint for how our world will change in response to the next 10 years of rapid technological disruption.

In their eagerly awaited book, Kim and Spear bring to light a new theory of high-achieving organizations. They examine how companies solve the most important problems better, faster, and easier than their competitors by quickly and regularly closing the gap between aspirations and real-world success. This book teaches companies that are struggling to perform how to achieve the continual greatness seen in the best of the best.

Why is profitable growth so hard to achieve and sustain? Most executives manage their companies as if the solution to that problem lies in the external environment: find an attractive market, formulate the right strategy, win new customers. But when Bain & Company's Chris Zook and James Allen researched this question, they found that when companies fail to achieve their growth targets, 90 percent of the time the root causes are internal, not external.

Many companies are stuck with digital transformations that are not moving the needle. There are no quick fixes but there is a playbook. The answer is in rewiring your business so hundreds, thousands, of teams can harness technology to continuously create great customer experiences, lower unit costs, and generate value. It's the capabilities of the organization that win the race. McKinsey Digital's top leaders Eric Lamarre, Kate Smaje, and Rodney W. Zemmel provide proven how-to details on what it takes in six comprehensive sections.

Now nearing its 60th printing in English and translated into 19 languages, Michael E. Porter's Competitive Strategy has transformed the theory, practice, and teaching of business strategy throughout the world.

What if strategy could instead be clear, simple, bold, and even actually useful? That’s what No Bullsh*t Strategy is all about. It sweeps away all the garbled corporate nonsense and dry academic theorising to leave you with pure strategic sauce, which can be actioned right away. It’ll make you see your business in a totally new light, and effortlessly unlock insights you didn’t know you had in you. Even better, it makes strategy fun.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

Radical uncertainty changes the way we should think about decision-making. For over half a century economics has assumed that people behave rationally by optimizing among well-defined choices. Behavioral economics questioned how far people are rational, pointing to the cognitive biases that seem to describe actual behavior.