000 03655nam a22005655i 4500
001 978-3-031-55221-2
003 DE-He213
005 20251030111736.0
007 cr nn 008mamaa
008 240321s2024 sz | s |||| 0|eng d
020 _a9783031552212
_9978-3-031-55221-2
024 7 _a10.1007/978-3-031-55221-2
_2doi
050 4 _aTA345-345.5
072 7 _aUN
_2bicssc
072 7 _aCOM018000
_2bisacsh
072 7 _aUN
_2thema
245 1 0 _aTechnology Innovation for Business Intelligence and Analytics (TIBIA)
_h[electronic resource] :
_bTechniques and Practices for Business Intelligence Innovation /
_cedited by Haitham M. Alzoubi, Muhammad Turki Alshurideh, Srinidhi Vasudevan.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aVIII, 513 p. 54 illus., 46 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 ;
_v147
505 0 _aProduct Differentiation Strategy between Cost Leadership -- Organizational Culture between Business Process Reengineering and Business Value -- Customisation Strategy and Product Variety on Operational Performance -- Team Creativity and Continuous Improvement on Time-To-Market -- Online Buying Behavior in the UAE Online Retail Industry: The Role of Emotional Intelligence.
520 _aThis book provides a standpoint on how to effectively use technology innovation for business intelligence and analytics. It presents an approach that combines cutting-edge technological advancements with practical applications in the business world. The book covers a range of innovative technologies and how they can be applied to enhance business intelligence and analytics. It is primarily aimed at professionals in the business field data analysts and students studying subjects. This book is especially beneficial for those who want to grasp and apply the technological trends in making strategic business decisions. Its comprehensive coverage makes it an indispensable resource for anyone, in the intersection of technology and business analytics. .
650 0 _aEngineering
_xData processing.
650 0 _aComputational intelligence.
_964052
650 0 _aBig data.
_957216
650 1 4 _aData Engineering.
_966059
650 2 4 _aComputational Intelligence.
_964052
650 2 4 _aBig Data.
_957216
700 1 _aAlzoubi, Haitham M.
_eeditor.
_0(orcid)0000-0003-3178-4007
_1https://orcid.org/0000-0003-3178-4007
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_968952
700 1 _aAlshurideh, Muhammad Turki.
_eeditor.
_0(orcid)0000-0002-7336-381X
_1https://orcid.org/0000-0002-7336-381X
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_968953
700 1 _aVasudevan, Srinidhi.
_eeditor.
_0(orcid)0000-0002-8584-9112
_1https://orcid.org/0000-0002-8584-9112
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_973680
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031552205
776 0 8 _iPrinted edition:
_z9783031552229
776 0 8 _iPrinted edition:
_z9783031552236
830 0 _aStudies in Big Data,
_x2197-6511 ;
_v147
_968724
856 4 0 _uhttps://doi.org/10.1007/978-3-031-55221-2
912 _aZDB-2-INR
912 _aZDB-2-SXIT
999 _c58552
_d58552