Coverart for item
The Resource Too big to ignore : the business case for big data, Phil Simon

Too big to ignore : the business case for big data, Phil Simon

Label
Too big to ignore : the business case for big data
Title
Too big to ignore
Title remainder
the business case for big data
Statement of responsibility
Phil Simon
Creator
Contributor
Subject
Genre
Language
eng
Summary
Residents in Boston, Massachusetts, are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site Top Coder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is a must-listen for chief executives, company owners, industry leaders, and business professionals
Member of
Accompanying matter
technical information on music
Cataloging source
Midwest
http://bibfra.me/vocab/lite/collectionName
hoopla (Digital media service)
http://library.link/vocab/creatorName
Simon, Phil
Dewey number
006.3/12
Form of composition
not applicable
Format of music
not applicable
Literary text for sound recordings
other
PerformerNote
Read by Stephen Dexter
http://library.link/vocab/relatedWorkOrContributorName
Dexter, Stephen
Series statement
Wiley and SAS Business
Series volume
bk. 72
http://library.link/vocab/subjectName
  • Data mining
  • Database management
  • Business
  • Big data
Target audience
adult
Transposition and arrangement
not applicable
Label
Too big to ignore : the business case for big data, Phil Simon
Link
Instantiates
Publication
Distribution
Antecedent source
unknown
Capture and storage technique
digital storage
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier.
Color
not applicable
Configuration of playback channels
unknown
Content category
spoken word
Content type code
  • spw
Content type MARC source
rdacontent.
Control code
MWT12275384
Dimensions
  • not applicable
  • unknown
Edition
Unabridged.
Extent
1 online resource (1 audio file (8hr., 17 min.))
File format
unknown
Form of item
  • online
  • electronic
Governing access note
Digital content provided by hoopla
Groove width / pitch
not applicable
Isbn
9781469070179
Isbn Type
(sound recording : hoopla Audio Book)
Kind of cutting
not applicable
Kind of disc cylinder or tape
not applicable
Kind of material
unknown
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia.
Media type code
  • c
Other physical details
digital.
Publisher number
MWT12275384
Quality assurance targets
unknown
Reformatting quality
access
Sound
sound
Special playback characteristics
digital recording
Specific material designation
  • other
  • remote
Speed
other
Stock number
12275384
System details
Mode of access: World Wide Web
Tape configuration
not applicable
Tape width
not applicable
Label
Too big to ignore : the business case for big data, Phil Simon
Link
Publication
Distribution
Antecedent source
unknown
Capture and storage technique
digital storage
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier.
Color
not applicable
Configuration of playback channels
unknown
Content category
spoken word
Content type code
  • spw
Content type MARC source
rdacontent.
Control code
MWT12275384
Dimensions
  • not applicable
  • unknown
Edition
Unabridged.
Extent
1 online resource (1 audio file (8hr., 17 min.))
File format
unknown
Form of item
  • online
  • electronic
Governing access note
Digital content provided by hoopla
Groove width / pitch
not applicable
Isbn
9781469070179
Isbn Type
(sound recording : hoopla Audio Book)
Kind of cutting
not applicable
Kind of disc cylinder or tape
not applicable
Kind of material
unknown
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia.
Media type code
  • c
Other physical details
digital.
Publisher number
MWT12275384
Quality assurance targets
unknown
Reformatting quality
access
Sound
sound
Special playback characteristics
digital recording
Specific material designation
  • other
  • remote
Speed
other
Stock number
12275384
System details
Mode of access: World Wide Web
Tape configuration
not applicable
Tape width
not applicable

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