Small Data, Big Disruptions: How to Spot Signals of Change and Manage Uncertainty Hardcover – Import, 6 May 2021
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About the Author
Schwirn has helped companies from virtually every industry, as well as many government departments in Asia, Europe, North American, and South America, to anticipate disruptions and change. He lives in San Francisco and works in Silicon Valley.
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- Publisher : New Page Books,US (6 May 2021)
- Language : English
- Hardcover : 224 pages
- ISBN-10 : 1632651920
- ISBN-13 : 978-1632651921
- Item Weight : 1 g
- Dimensions : 15.75 x 1.78 x 23.62 cm
- Country of Origin : United Kingdom
- Customer Reviews:
Top reviews from other countries
In Small Data, Big Disruptions, Martin Schwirn shows them how to anticipate and prepare for the future by finding “little oddities” in the daily avalanche of small data and connecting the dots between them in order to “identify emerging opportunities and foresee future threats.” The four-step foresighting process that Schwirn teaches here is called scanning. It is a well-established and proven method for gathering and analyzing information from an organization’s external environment (the author himself has conducted or directed scanning for more than two decades). But, to my knowledge, this is the first book that has laid out the scanning process in light of the challenges of the twenty-first century. More importantly, it is a clear, careful, and compelling guide to a very powerful tool for embracing uncertainty, understanding future issues, and arriving at the best possible strategic decisions. And Schwirn demonstrates convincingly that any organization can adopt the scanning discipline and get started today.
The book presents a number of impressive scanning success stories. It is also filled with valuable insights gleaned from the author’s long experience at scanning. Scanning requires small data from “credible and diverse sources.” Just as importantly, it requires team members who are themselves diverse and open-minded. He cautions to avoid the temptation of shiny objects. Scanning is not about finding “golden nuggets.” Single data points about self-driving flying cars or geoengineering may be exciting but they are far less useful than less sensational but still unusual data points that can be woven into more powerful patterns.
Small Data, Big Disruptions is, above anything else, a carefully drawn and easy to follow blueprint for a highly disciplined and valuable scanning process for your organization. In less than 200 pages it lays out clearly the whys and hows of scanning in order to navigate the future. If your organization is already doing scanning, this book will teach you how to do it better. If you are not yet doing scanning, it is probably time to get started.