Author
Listed:
- Ümit Demirbaga
(University of Cambridge, Department of Medicine
Bartin University, Department of Computer Engineering, Faculty of Engineering, Architecture, and Design)
- Gagangeet Singh Aujla
(Durham University, Department of Computer Science)
- Anish Jindal
(Durham University, Department of Computer Science)
- Oğuzhan Kalyon
(Newcastle University, Faculty of Medical Sciences)
Abstract
This chapter unfolds a panoramic view across diverse sectors, unveiling the transformative impact of big data analytics on real-world challenges. The exploration commences in the government sector, where data-driven governance enhances public services, enables predictive analytics for smart city planning, fortifies security and surveillance, and even extends to election forecasting and voter analytics. Transitioning to the healthcare industry, the chapter delves into the revolutionary role of big data analytics in tailoring treatments through precision medicine and predicting and preventing disease outbreaks. The entertainment industry takes centre stage, showcasing applications such as content personalization, recommendation systems, box office predictions, revenue optimization, and audience engagement through social media analytics. The banking sector comes to life with risk assessment, credit scoring, customer relationship management, personalization, fraud detection, security, and strategic decision-making. The retail industry follows suit, emphasising inventory management, demand forecasting, customer segmentation, personalization, supply chain optimization, and in-store analytics. The chapter finally highlights the energy and utilities sector by illuminating applications in grid management, smart grids, predictive maintenance, asset optimization, energy generation, renewable integration, energy efficiency, demand response, and environmental sustainability.
Suggested Citation
Ümit Demirbaga & Gagangeet Singh Aujla & Anish Jindal & Oğuzhan Kalyon, 2024.
"Real-World Big Data Analytics Case Studies,"
Springer Books, in: Big Data Analytics, chapter 0, pages 233-247,
Springer.
Handle:
RePEc:spr:sprchp:978-3-031-55639-5_10
DOI: 10.1007/978-3-031-55639-5_10
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