Big data, mining, and analytics: components of strategic decision making
"Foreword Big data and analytics promise to change virtually every industry and business function over the next decade. Any organization that gets started early with big data can gain a significant competitive edge. Just as early analytical competitors in the "small data" era (includi...
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, Fla.
CRC Press
2014
|
| Schlagworte: | |
| Online-Zugang: | Cover image Inhaltsverzeichnis |
| Zusammenfassung: | "Foreword Big data and analytics promise to change virtually every industry and business function over the next decade. Any organization that gets started early with big data can gain a significant competitive edge. Just as early analytical competitors in the "small data" era (including Capital One bank, Progressive Insurance, and Marriott hotels) moved out ahead of their competitors and built a sizable competitive edge, the time is now for firms to seize the big data opportunity. As this book describes, the potential of big data is enabled by ubiquitous computing and data gathering devices; sensors and microprocessors will soon be everywhere. Virtually every mechanical or electronic device can leave a trail that describes its performance, location, or state. These devices, and the people who use them, communicate through the Internet...which leads to another vast data source. When all these bits are combined with those from other media...wireless and wired telephony, cable, satellite, and so forth...the future of data appears even bigger. The availability of all this data means that virtually every business or organizational activity can be viewed as a big data problem or initiative. Manufacturing, in which most machines already have one or more microprocessors, is increasingly a big data environment. Consumer marketing, with myriad customer touchpoints and clickstreams, is already a big data problem. Google has even described its self-driving car as a big data project. Big data is undeniably a big deal, but it needs to be put in context".. |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | XV, 305 S. Ill., graph. Darst. |
| ISBN: | 9781466568709 |
Internformat
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| 264 | 1 | |a Boca Raton, Fla. |b CRC Press |c 2014 | |
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| 520 | |a "Foreword Big data and analytics promise to change virtually every industry and business function over the next decade. Any organization that gets started early with big data can gain a significant competitive edge. Just as early analytical competitors in the "small data" era (including Capital One bank, Progressive Insurance, and Marriott hotels) moved out ahead of their competitors and built a sizable competitive edge, the time is now for firms to seize the big data opportunity. As this book describes, the potential of big data is enabled by ubiquitous computing and data gathering devices; sensors and microprocessors will soon be everywhere. Virtually every mechanical or electronic device can leave a trail that describes its performance, location, or state. These devices, and the people who use them, communicate through the Internet...which leads to another vast data source. When all these bits are combined with those from other media...wireless and wired telephony, cable, satellite, and so forth...the future of data appears even bigger. The availability of all this data means that virtually every business or organizational activity can be viewed as a big data problem or initiative. Manufacturing, in which most machines already have one or more microprocessors, is increasingly a big data environment. Consumer marketing, with myriad customer touchpoints and clickstreams, is already a big data problem. Google has even described its self-driving car as a big data project. Big data is undeniably a big deal, but it needs to be put in context".. | ||
| 650 | 7 | |a COMPUTERS / Database Management / General |2 bisacsh | |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-027276747 | ||
Datensatz im Suchindex
| _version_ | 1804152168835448832 |
|---|---|
| adam_text | Contents
Foreword
................................................................................................ix
About the Author
................................................................................xiii
Contributors
..........................................................................................xv
Chapter
1
Introduction to the Big Data Era
...................................... 1
Stephan
Kudyba and Matthew Kwatinetz
Chapter
2
Information Creation through Analytics
.......................17
Stephan
Kudyba
Chapter
3
Big Data Analytics
—
Architectures, Implementation
Methodology, and Tools
..................................................49
Wullianallur Raghupathi and
Viju
Raghup
athi
Chapter
4
Data Mining Methods and the Rise of Big Data
............71
Wayne Thompson
Chapter
5
Data Management and the Model Creation Process
of Structured Data for Mining and Analytics
.............. 103
Stephan
Kudyba
Chapter
6
The Internet: A Source of New Data for Mining
in Marketing
...................................................................129
Robert Young
Chapter
7
Mining and Analytics in E-Commerce
........................ 147
Stephan
Kudyba
Chapter
8
Streaming Data in the Age of Big Data
.........................165
Billie
Anderson and J. Michael Hardin
Vtl
viii
· Contents
Chapter
9
Using CEP for Real-Time Data Mining
........................ 179
Steven Barber
Chapter
10
Transforming Unstructured Data into Useful
Information
....................................................................211
Meta S.
Brown
Chapter
11
Mining Big Textual Data
...............................................231
loannis Korkontzelos
Chapter
12
The New Medical Frontier:
Real-Time
Wireless
Medical Data Acquisition for
21st-century
Healthcare and Data Mining Challenges
.....................257
David Lubliner and
Stephan
Kudyba
Index
....................................................................................................307
|
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| spelling | Big data, mining, and analytics components of strategic decision making Stephan Kudyba [ed.] Boca Raton, Fla. CRC Press 2014 XV, 305 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index "Foreword Big data and analytics promise to change virtually every industry and business function over the next decade. Any organization that gets started early with big data can gain a significant competitive edge. Just as early analytical competitors in the "small data" era (including Capital One bank, Progressive Insurance, and Marriott hotels) moved out ahead of their competitors and built a sizable competitive edge, the time is now for firms to seize the big data opportunity. As this book describes, the potential of big data is enabled by ubiquitous computing and data gathering devices; sensors and microprocessors will soon be everywhere. Virtually every mechanical or electronic device can leave a trail that describes its performance, location, or state. These devices, and the people who use them, communicate through the Internet...which leads to another vast data source. When all these bits are combined with those from other media...wireless and wired telephony, cable, satellite, and so forth...the future of data appears even bigger. The availability of all this data means that virtually every business or organizational activity can be viewed as a big data problem or initiative. Manufacturing, in which most machines already have one or more microprocessors, is increasingly a big data environment. Consumer marketing, with myriad customer touchpoints and clickstreams, is already a big data problem. Google has even described its self-driving car as a big data project. Big data is undeniably a big deal, but it needs to be put in context".. COMPUTERS / Database Management / General bisacsh COMPUTERS / Database Management / Data Mining bisacsh COMPUTERS / Information Technology bisacsh Datenverarbeitung Strategic planning Data processing Data mining Big data Business planning Data processing Webometrics Data loggers COMPUTERS / Database Management / General COMPUTERS / Database Management / Data Mining COMPUTERS / Information Technology Data Mining (DE-588)4428654-5 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Datenmanagement (DE-588)4213132-7 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Big Data (DE-588)4802620-7 s Datenmanagement (DE-588)4213132-7 s Data Mining (DE-588)4428654-5 s Datenanalyse (DE-588)4123037-1 s DE-604 Kudyba, Stephan 1963- Sonstige (DE-588)173540384 oth http://images.tandf.co.uk/common/jackets/websmall/978146656/9781466568709.jpg Cover image Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027276747&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Big data, mining, and analytics components of strategic decision making COMPUTERS / Database Management / General bisacsh COMPUTERS / Database Management / Data Mining bisacsh COMPUTERS / Information Technology bisacsh Datenverarbeitung Strategic planning Data processing Data mining Big data Business planning Data processing Webometrics Data loggers COMPUTERS / Database Management / General COMPUTERS / Database Management / Data Mining COMPUTERS / Information Technology Data Mining (DE-588)4428654-5 gnd Datenanalyse (DE-588)4123037-1 gnd Big Data (DE-588)4802620-7 gnd Datenmanagement (DE-588)4213132-7 gnd |
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| title | Big data, mining, and analytics components of strategic decision making |
| title_auth | Big data, mining, and analytics components of strategic decision making |
| title_exact_search | Big data, mining, and analytics components of strategic decision making |
| title_full | Big data, mining, and analytics components of strategic decision making Stephan Kudyba [ed.] |
| title_fullStr | Big data, mining, and analytics components of strategic decision making Stephan Kudyba [ed.] |
| title_full_unstemmed | Big data, mining, and analytics components of strategic decision making Stephan Kudyba [ed.] |
| title_short | Big data, mining, and analytics |
| title_sort | big data mining and analytics components of strategic decision making |
| title_sub | components of strategic decision making |
| topic | COMPUTERS / Database Management / General bisacsh COMPUTERS / Database Management / Data Mining bisacsh COMPUTERS / Information Technology bisacsh Datenverarbeitung Strategic planning Data processing Data mining Big data Business planning Data processing Webometrics Data loggers COMPUTERS / Database Management / General COMPUTERS / Database Management / Data Mining COMPUTERS / Information Technology Data Mining (DE-588)4428654-5 gnd Datenanalyse (DE-588)4123037-1 gnd Big Data (DE-588)4802620-7 gnd Datenmanagement (DE-588)4213132-7 gnd |
| topic_facet | COMPUTERS / Database Management / General COMPUTERS / Database Management / Data Mining COMPUTERS / Information Technology Datenverarbeitung Strategic planning Data processing Data mining Big data Business planning Data processing Webometrics Data loggers Data Mining Datenanalyse Big Data Datenmanagement Aufsatzsammlung |
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