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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.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online
View online- Format:
- Book
- Author/Creator:
- Alzoubi, Haitham M.
- Series:
- Studies in Big Data, 2197-6511 ; 147
- Language:
- English
- Subjects (All):
- Engineering--Data processing.
- Engineering.
- Computational intelligence.
- Big data.
- Data Engineering.
- Computational Intelligence.
- Big Data.
- Local Subjects:
- Data Engineering.
- Computational Intelligence.
- Big Data.
- Physical Description:
- 1 online resource (503 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
- Summary:
- 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 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. .
- Contents:
- 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.
- ISBN:
- 9783031552212
- 3031552210
- OCLC:
- 1427979370
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