Small Data
Author | Martin Lindstrom |
---|---|
Country | United States |
Language | English |
Publisher | St. Martins |
ISBN | ISBN:978-1-250-08068-4 |
Small Data: the Tiny Clues that Uncover Huge Trends is Martin Lindstrom's seventh book. It chronicles his work as a branding expert, working with consumers across the world to better understand their behavior. The theory behind the book is that businesses can better create products and services based on observing consumer behavior in their homes, as opposed to relying solely on big data.
Content
The book is based on a several year period of consumer studies for major corporations across the globe.[1] It features case studies of the author's work interviewing consumers in their homes and using his observations to create hypotheses as to why they use products the way that they do.
Public reception
The book was a New York Times Bestseller[2] upon release and was positively reviewed on several websites, Including Entrepreneur[3] and Forbes .[4] In 2016, it was named a Best Business Book by strategy+business[5] and one of Inc. Magazine's Best Sales and Marketing books.[6]
References
- ↑ "Small Data - Martin Lindstrom - Bestselling Author" (in en-US). https://www.martinlindstrom.com/small-data/.
- ↑ "Best Sellers - The New York Times". https://www.nytimes.com/best-sellers-books/2016-03-13/advice-how-to-and-miscellaneous/list.html.
- ↑ Agius, Aaron. "From an Elon Musk Bio to Malcolm Gladwell's 'Blink', These 9 Books Are Must-Reads". http://www.entrepreneur.com/article/271992.
- ↑ "16 Must-Read Business Books For 2016". https://www.forbes.com/sites/davidburkus/2016/01/10/16-must-read-business-books-for-2016/#4ce073648bae.
- ↑ Taylor, Catharine P.. "Best Business Books 2016: Marketing". strategy+business. https://www.strategy-business.com/article/Best-Business-Books-2016-Marketing.
- ↑ "The Best Sales and Marketing Books of 2016" (in en). Inc.com. 2016-11-28. https://www.inc.com/geoffrey-james/the-best-sales-and-marketing-books-of-2016.html.
Original source: https://en.wikipedia.org/wiki/Small Data.
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