| 000 | 01457nam a2200349 i 4500 | ||
|---|---|---|---|
| 001 | 2013039005 | ||
| 003 | DLC | ||
| 005 | 20190729105404.0 | ||
| 008 | 130930s2014 mau 000 0 eng | ||
| 010 | _a 2013039005 | ||
| 020 |
_a9781422168165 _qalkaline paper |
||
| 042 | _apcc | ||
| 040 |
_aDLC _beng _erda _cDLC _dMvI _dMiTN |
||
| 050 | 0 | 0 |
_aHD38.7 _b.D379 2014 |
| 082 | 0 | 0 |
_a658.4/038 _223 |
| 100 | 1 |
_aDavenport, Thomas H., _d1954- |
|
| 245 | 1 | 0 |
_aBig data at work : _bdispelling the myths, uncovering the opportunities / _cThomas H. Davenport. |
| 264 | 1 |
_aBoston Massachusetts : _bHarvard Business Press, _c[2014] |
|
| 300 |
_aix, 228 pages ; _c25 cm |
||
| 336 |
_atext _2rdacontent |
||
| 337 |
_aunmediated _2rdamedia |
||
| 338 |
_avolume _2rdacarrier |
||
| 505 | 0 | _aWhy Big Data is important to you and your organization -- How Big Data will change your job, your company and your industry -- Developing a big data strategy -- The human side of Big Data -- The technology side of Big Data -- What it takes to succeed with Big Data -- What you can learn from start-ups and online firms -- What you can learn from large companies: Big Data and analytics 3.0. | |
| 650 | 0 |
_aBusiness intelligence _xData processing. |
|
| 650 | 0 | _aBig data. | |
| 650 | 0 |
_aBusiness planning _xStatistical methods. |
|
| 650 | 0 | _aData mining. | |
| 948 | _au375985 | ||
| 949 |
_aHD38.7 .D379 2014 _wLC _c1 _hEY8Z _i33039001335834 |
||
| 596 | _a1 | ||
| 903 | _a26747 | ||
| 999 |
_c26747 _d26747 |
||