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
Resource Information
The item Too big to ignore : the business case for big data, Phil Simon represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Evansville Vanderburgh Public Library.This item is available to borrow from all library branches.
Resource Information
The item Too big to ignore : the business case for big data, Phil Simon represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Evansville Vanderburgh Public Library.
This item is available to borrow from all library branches.
- 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
- Language
- eng
- Edition
- Unabridged.
- Extent
- 1 online resource (1 audio file (8hr., 17 min.))
- Isbn
- 9781469070179
- 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
- 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
- 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
- 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
- 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
Library Locations
-
Central LibraryBorrow it200 SE Martin Luther King Jr. Blvd., Evansville, IN, 47713, US37.971461 -87.565988
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.evpl.org/portal/Too-big-to-ignore--the-business-case-for-big/bBQUDSQh3fE/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.evpl.org/portal/Too-big-to-ignore--the-business-case-for-big/bBQUDSQh3fE/">Too big to ignore : the business case for big data, Phil Simon</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.evpl.org/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.evpl.org/">Evansville Vanderburgh Public Library</a></span></span></span></span></div>
