| 000 | 03415nam a2200421 i 4500 | ||
|---|---|---|---|
| 999 |
_c39397 _d39397 |
||
| 001 | 33623 | ||
| 003 | BD-DhAAL | ||
| 005 | 20211109100223.0 | ||
| 008 | 180808r20182014flua b 001 0 eng | ||
| 010 | _a 2013049469 | ||
| 020 | _a9781466568709 (hardback) | ||
| 020 | _a1466568704 (hardback) | ||
| 020 | _a9781138494206 (pbk) | ||
| 040 |
_aDLC _beng _cDLC _erda _dDLC _dBD-DhAAL |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aHD30.28 _b.B544 2014 |
| 082 | 0 | 0 |
_a658.4012 _223 |
| 245 | 0 | 0 |
_aBig data, mining, and analytics : _bcomponents of strategic decision making / _cStephan Kudyba ; foreword by Thomas H. Davenport |
| 260 |
_aBoca Raton : _bTaylor & Francis, _c2018 [reprinted] |
||
| 300 |
_axv, 305 pages : _bsome color illustrations ; _c25 cm. |
||
| 504 | _aIncludes bibliographical references and index. | ||
| 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"-- | ||
| 526 | _aCSE | ||
| 650 | 0 |
_aStrategic planning _xData processing. _927755 |
|
| 650 | 0 |
_aData mining. _927756 |
|
| 650 | 0 |
_aBig data. _927757 |
|
| 650 | 0 |
_aBusiness planning _xData processing. _927758 |
|
| 650 | 0 |
_aWebometrics. _927759 |
|
| 650 | 0 |
_aData loggers. _927760 |
|
| 650 | 0 |
_aComputer science. _942451 |
|
| 650 | 7 |
_aCOMPUTERS / Database Management / General. _2bisacsh _927761 |
|
| 650 | 7 |
_aCOMPUTERS / Database Management / Data Mining. _2bisacsh _927762 |
|
| 650 | 7 |
_aCOMPUTERS / Information Technology. _2bisacsh _927763 |
|
| 700 | 1 |
_aKudyba, Stephan, _d1963- _927764 |
|
| 852 |
_aAyesha Abed Library _cGeneral Stacks |
||
| 942 |
_2ddc _cBK |
||