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Record Nr. |
UNINA9910845487903321 |
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Autore |
Alzoubi Haitham M |
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Titolo |
Technology Innovation for Business Intelligence and Analytics (TIBIA) : Techniques and Practices for Business Intelligence Innovation / / edited by Haitham M. Alzoubi, Muhammad Turki Alshurideh, Srinidhi Vasudevan |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (503 pages) |
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Collana |
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Studies in Big Data, , 2197-6511 ; ; 147 |
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Altri autori (Persone) |
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AlshuridehMuhammad Turki |
VasudevanSrinidhi |
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Disciplina |
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Soggetti |
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Engineering - Data processing |
Computational intelligence |
Big data |
Data Engineering |
Computational Intelligence |
Big Data |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Product 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. |
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Sommario/riassunto |
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This 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 |
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