FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2783273054> ?p ?o ?g. }

• W2783273054 startingPage "61" @default.
• W2783273054 abstract "Small Data: Tiny Clues that Uncover Huge Trends Martin Lindstrom (New York: St. Martin's Press, 2016) Having researched and applied data and text mining in telecom industry since 1990s, I couldn't pass up opportunity to review Small Data. In a world where big data analytics has won a high level of credibility, and attracted much investment, this complementary perspective was intriguing. book's title suggested author had succeeded in finding useful business insights more efficiently by studying small-scope scenarios than by amassing and analyzing large amounts of data. To use a popular analogy, title implied that Lindstrom had developed ways for decision makers to learn things from individual trees that they couldn't learn by observing forest. In Small Data, Lindstrom offers readers opportunity to accompany him on seven globe-trekking, culture-spanning adventures that led to valuable insights for his clients. In my initial scan of table of contents, these journeys sounded nonsensical-take, for instance, Sausage, Chicken, and Pursuit of Real Happiness: Transforming Future of How We Shop for Food and The United Colors of India: Selling Breakfast Cereal to Two Generations of Warring Women. I wondered what real point of book might be. But Lindstrom's sincerity in storytelling hooked me in first 10 pages. I was on board, wherever journeys would lead, with hope of gaining a deeper understanding of humanity and of myself personally. Lindstrom defines small data as the amalgamation of gestures, habits, likes, dislikes, hesitations, speech patterns, decors, passwords, tweets, status updates and more--the nonverbal signals through which we reveal who we really are. Readers familiar with traditional market research methods such as focus groups may find these sources of data unconventional. However, they are within scope of ethnography and anthropology, both of which have been applied successfully in business world. Subtext research, which is author's name for gathering and analysis of small data, reveals imbalances and unmet desires within a culture that might be addressed by a new product, service, or experience. case studies in Small Data are presented in a nonlinear fashion, matching way Lindstrom's data and insights evolved over time. I found this approach both entertaining (connecting unexpected insights from diverse sources) and a little challenging. Ultimately, I'd suggest reading book as a set of parallel stories. first, and probably most valuable for innovation leaders, is about author's research method. Chapters 1 through 7 introduce aspects of approach as it is applied to specific challenges, for instance, how to revive sales in a local grocery store chain or how to design shopping malls so they offer unique and compelling experiences. final chapter of book nicely summarizes steps and overall approach. second story narrates a collection of principles in practice. Among many principles offered by book, one often repeated is value of somatic markers--the juxtaposition of dissonant concepts (for instance, square cakes and round songs) to increase likelihood that audience will remember message. …" @default.
• W2783273054 created "2018-01-26" @default.
• W2783273054 creator A5004097025 @default.
• W2783273054 date "2017-07-01" @default.
• W2783273054 modified "2023-09-22" @default.
• W2783273054 title "Small Data: The Tiny Clues That Uncover Huge Trends" @default.
• W2783273054 hasPublicationYear "2017" @default.
• W2783273054 type Work @default.
• W2783273054 sameAs 2783273054 @default.
• W2783273054 citedByCount "0" @default.
• W2783273054 crossrefType "journal-article" @default.
• W2783273054 hasAuthorship W2783273054A5004097025 @default.
• W2783273054 hasConcept C144024400 @default.
• W2783273054 hasConcept C15744967 @default.
• W2783273054 hasConcept C2778999518 @default.
• W2783273054 hasConcept C29595303 @default.
• W2783273054 hasConcept C41008148 @default.
• W2783273054 hasConcept C77805123 @default.
• W2783273054 hasConceptScore W2783273054C144024400 @default.
• W2783273054 hasConceptScore W2783273054C15744967 @default.
• W2783273054 hasConceptScore W2783273054C2778999518 @default.
• W2783273054 hasConceptScore W2783273054C29595303 @default.
• W2783273054 hasConceptScore W2783273054C41008148 @default.
• W2783273054 hasConceptScore W2783273054C77805123 @default.
• W2783273054 hasIssue "4" @default.
• W2783273054 hasLocation W27832730541 @default.
• W2783273054 hasOpenAccess W2783273054 @default.
• W2783273054 hasPrimaryLocation W27832730541 @default.
• W2783273054 hasRelatedWork W1560282823 @default.
• W2783273054 hasRelatedWork W1566251613 @default.
• W2783273054 hasRelatedWork W166532948 @default.
• W2783273054 hasRelatedWork W2000459826 @default.
• W2783273054 hasRelatedWork W2010372659 @default.
• W2783273054 hasRelatedWork W2048703011 @default.
• W2783273054 hasRelatedWork W2233203755 @default.
• W2783273054 hasRelatedWork W2248312671 @default.
• W2783273054 hasRelatedWork W2504450651 @default.
• W2783273054 hasRelatedWork W2617356516 @default.
• W2783273054 hasRelatedWork W2959874811 @default.
• W2783273054 hasRelatedWork W3139566521 @default.
• W2783273054 hasRelatedWork W321620948 @default.
• W2783273054 hasRelatedWork W43580970 @default.
• W2783273054 hasRelatedWork W594311536 @default.
• W2783273054 hasRelatedWork W615763841 @default.
• W2783273054 hasRelatedWork W2302181855 @default.
• W2783273054 hasRelatedWork W2617285583 @default.
• W2783273054 hasRelatedWork W2738733767 @default.
• W2783273054 hasRelatedWork W2750864002 @default.
• W2783273054 hasVolume "60" @default.
• W2783273054 isParatext "false" @default.
• W2783273054 isRetracted "false" @default.
• W2783273054 magId "2783273054" @default.
• W2783273054 workType "article" @default.