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Small data: the tiny clues that uncover huge trends
(Book)

Book Cover
Average Rating
Published:
New York, N.Y. : St. Martin's Press, 2016.
Format:
Book
Physical Desc:
x, 244 pages : illustrations ; 21 cm
Status:
Description

"Hired by the world's leading brands to find out what makes their customers tick, Martin Lindstrom spends 300 nights a year overseas, closely observing people in their homes. His goal: to uncover their hidden desires and turn them into breakthrough products for the world's leading brands. In a world besotted by the power of Big Data, he works like a modern-day Sherlock Holmes, accumulating small clues to help solve a stunningly diverse array of challenges. In Switzerland, a stuffed teddy bear in a teenage girl's bedroom helped revolutionize 1,000 stores, spread across twenty countries, for one of Europe's largest fashion retailers. In Dubai, a bracelet strung with pearls helped Jenny Craig offset its declining membership in the United States and increase loyalty by 159 percent in only a year. And in China, the look of a car dashboard led to the design of the Roomba vacuum - a great American success story. How? Lindstrom connects the dots in this globetrotting narrative that will fascinate not only marketers and brand managers, but anyone interested in the infinite variations of human behavior. The Desire Hunter combines armchair travel with forensic psychology into an interlocking series of international clue-gathering detective stories. It presents a rare behind-the-scenes look at what it takes to create global brands; and along the way, reveals surprising and counter-intuitive truths about what connects us all as humans"-

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Copies
Location
Call Number
Status
Last Check-In
CMU Main Books 3rd Floor
HF5415.32 .L5576 2016
On Shelf
Sep 5, 2017
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More Details
Language:
English
ISBN:
9781473634060, 1473634067, 9781250118011, 1250118018

Notes

Bibliography
Includes bibliographical references (pages 235-239) and index.
Description
"Hired by the world's leading brands to find out what makes their customers tick, Martin Lindstrom spends 300 nights a year overseas, closely observing people in their homes. His goal: to uncover their hidden desires and turn them into breakthrough products for the world's leading brands. In a world besotted by the power of Big Data, he works like a modern-day Sherlock Holmes, accumulating small clues to help solve a stunningly diverse array of challenges. In Switzerland, a stuffed teddy bear in a teenage girl's bedroom helped revolutionize 1,000 stores, spread across twenty countries, for one of Europe's largest fashion retailers. In Dubai, a bracelet strung with pearls helped Jenny Craig offset its declining membership in the United States and increase loyalty by 159 percent in only a year. And in China, the look of a car dashboard led to the design of the Roomba vacuum - a great American success story. How? Lindstrom connects the dots in this globetrotting narrative that will fascinate not only marketers and brand managers, but anyone interested in the infinite variations of human behavior. The Desire Hunter combines armchair travel with forensic psychology into an interlocking series of international clue-gathering detective stories. It presents a rare behind-the-scenes look at what it takes to create global brands; and along the way, reveals surprising and counter-intuitive truths about what connects us all as humans"-
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Citations
APA Citation (style guide)

Lindstrom, M. (2016). Small data: the tiny clues that uncover huge trends. New York, N.Y., St. Martin's Press.

Chicago / Turabian - Author Date Citation (style guide)

Lindstrom, Martin, 1970-. 2016. Small Data: The Tiny Clues That Uncover Huge Trends. New York, N.Y., St. Martin's Press.

Chicago / Turabian - Humanities Citation (style guide)

Lindstrom, Martin, 1970-, Small Data: The Tiny Clues That Uncover Huge Trends. New York, N.Y., St. Martin's Press, 2016.

MLA Citation (style guide)

Lindstrom, Martin. Small Data: The Tiny Clues That Uncover Huge Trends. New York, N.Y., St. Martin's Press, 2016.

Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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Grouped Work ID:
28b291c9-39c0-acea-e5c6-7d09de7d5aa7
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Record Information

Last Sierra Extract TimeApr 03, 2024 07:10:49 PM
Last File Modification TimeApr 03, 2024 07:11:01 PM
Last Grouped Work Modification TimeApr 21, 2024 07:56:12 PM

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