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Real-World Big Data Analytics Case Studies

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Big Data Analytics

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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.

Every company has big data in its future and every company will eventually be in the data business.

—Thomas H. Davenport

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Further Reading

  1. J.R. Owens, B. Femiano, J. Lentz, Hadoop Real World Solutions Cookbook. (Packt Publishing, 2013)

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  2. T. Dunning, E. Friedman, Real-World Hadoop. (O’Reilly Media, Inc., 2015)

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  3. M. Grover, T. Malaska, J. Seidman, G. Shapira, Hadoop Application Architectures: Designing Real-world Big Data Applications. (O’Reilly Media, Inc., 2015)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Medicine, University of Cambridge, Cambridge, UK

    Ümit Demirbaga

  2. Department of Computer Engineering, Faculty of Engineering, Architecture, and Design, Bartin University, Bartin, 74100, Türkiye

    Ümit Demirbaga

  3. Department of Computer Science, Durham University, Durham, UK

    Gagangeet Singh Aujla & Anish **dal

  4. Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK

    Oğuzhan Kalyon

Authors
  1. Ümit Demirbaga
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  2. Gagangeet Singh Aujla
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  3. Anish **dal
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  4. Oğuzhan Kalyon
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Corresponding author

Correspondence to Gagangeet Singh Aujla .

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Demirbaga, Ü., Aujla, G.S., **dal, A., Kalyon, O. (2024). Real-World Big Data Analytics Case Studies. In: Big Data Analytics. Springer, Cham. https://doi.org/10.1007/978-3-031-55639-5_10

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