|
gptkbp:instance_of
|
gptkb:book
|
|
gptkbp:addresses
|
bias in data
|
|
gptkbp:advocates_for
|
empirical evidence
|
|
gptkbp:author
|
gptkb:Ian_Ayres
|
|
gptkbp:available_formats
|
gptkb:book
ebook
hardcover
paperback
|
|
gptkbp:awards
|
gptkb:none
|
|
gptkbp:challenges
|
traditional decision making
|
|
gptkbp:contains
|
case studies
|
|
gptkbp:contributed_to
|
business intelligence
|
|
gptkbp:discusses
|
quantitative analysis
|
|
gptkbp:examines
|
real-world applications
|
|
gptkbp:explores
|
decision making processes
|
|
gptkbp:focus
|
statistics
|
|
gptkbp:genre
|
gptkb:Author
|
|
gptkbp:highlights
|
success stories
|
|
gptkbp:historical_debate
|
data-driven decision making
importance of data
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Super Crunchers
|
|
gptkbp:impact
|
gptkb:technique
|
|
gptkbp:influence
|
big data
|
|
gptkbp:influenced_by
|
gptkb:Malcolm_Gladwell
gptkb:Nate_Silver
|
|
gptkbp:inspired
|
data science field
|
|
gptkbp:is_cited_in
|
gptkb:The_New_York_Times
|
|
gptkbp:isbn
|
978-0553804260
|
|
gptkbp:language
|
English
|
|
gptkbp:notable_feature
|
data mining
|
|
gptkbp:published_year
|
gptkb:2007
|
|
gptkbp:publisher
|
gptkb:Bantam_Books
|
|
gptkbp:related_to
|
predictive analytics
|
|
gptkbp:related_works
|
gptkb:The_Signal_and_the_Noise
gptkb:Freakonomics
|
|
gptkbp:subject
|
data analysis
|
|
gptkbp:target_audience
|
gptkb:University
academics
business professionals
data analysts
|
|
gptkbp:translated_into
|
gptkb:French
gptkb:Japanese
gptkb:Spanish
gptkb:Native_American_tribe
Chinese
|
|
gptkbp:user_reviews
|
positive
|
|
gptkbp:bfsParent
|
gptkb:Ian_Ayres
|
|
gptkbp:bfsLayer
|
7
|