| 000 | 03187nam a22005655i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-55885-6 | ||
| 003 | DE-He213 | ||
| 005 | 20251030111816.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240412s2024 sz | s |||| 0|eng d | ||
| 020 |
_a9783031558856 _9978-3-031-55885-6 |
||
| 024 | 7 |
_a10.1007/978-3-031-55885-6 _2doi |
|
| 050 | 4 | _aTA345-345.5 | |
| 072 | 7 |
_aUN _2bicssc |
|
| 072 | 7 |
_aCOM018000 _2bisacsh |
|
| 072 | 7 |
_aUN _2thema |
|
| 100 | 1 |
_aWang, Liang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 0 |
_aStrategic Blueprint for Enterprise Analytics _h[electronic resource] : _bIntegrating Advanced Analytics into Data-Driven Business / _cby Liang Wang, Jianxin Zhao. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
|
| 300 |
_aXVII, 245 p. 64 illus., 34 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aStudies in Big Data, _x2197-6511 ; _v150 |
|
| 520 | _aThis book is a comprehensive guide for professionals, leaders, and academics seeking to unlock the power of data and analytics in the modern business landscape. It delves deeply into the strategic, architectural, and managerial aspects of implementing enterprise analytics (EA) systems in large enterprises. The book is meticulously structured into three parts. Part 1 lays the foundation for adaptable architecture in EA. Part 2 explores technical considerations: data, cloud platforms, and AI solutions. The final part focuses on strategy execution, investment, and risk management. Acting as a comprehensive guide, the book enables the creation of robust EA capabilities that foster growth, optimize operations, and keep pace with EA's dynamic world. Whether readers are leaders harnessing data's potential, practitioners navigating analytics, or academics exploring this evolving domain, this book provides insights and knowledge to guide readers toward a thriving, data-driven future. | ||
| 650 | 0 |
_aEngineering _xData processing. |
|
| 650 | 0 |
_aComputational intelligence. _964052 |
|
| 650 | 0 |
_aBig data. _957216 |
|
| 650 | 0 |
_aArtificial intelligence. _958441 |
|
| 650 | 1 | 4 |
_aData Engineering. _966059 |
| 650 | 2 | 4 |
_aComputational Intelligence. _964052 |
| 650 | 2 | 4 |
_aBig Data. _957216 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _958441 |
| 700 | 1 |
_aZhao, Jianxin. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _975086 |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031558849 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031558863 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031558870 |
| 830 | 0 |
_aStudies in Big Data, _x2197-6511 ; _v150 _968724 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-55885-6 |
| 912 | _aZDB-2-INR | ||
| 912 | _aZDB-2-SXIT | ||
| 999 |
_c59099 _d59099 |
||