Real-World Applications of Big Data Analytics in Business
Author: Dr. Anna Neya Kazanskaia
Publisher: NEYA Global Publishing
Article | NEYA Global Journal of Non-Profit Studies
Year: 2025
ORCID: https://orcid.org/0009-0009-5669-1676
DOI: https://doi.org/10.64357/neya-gjnps-hr-bg-dt-07
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About the Article
Big data analytics is transforming business operations by enabling organizations to enhance customer experiences, optimize processes, mitigate risks, and foster innovation. This article explores how segmentation, sentiment analysis, predictive modeling, and IoT-enabled predictive maintenance support evidence-based strategies across industries. Case studies from e-commerce, healthcare, finance, retail, and emerging markets demonstrate practical applications of analytics tools and cloud-based platforms. Challenges such as data privacy, infrastructure limitations, and adoption barriers are critically assessed, with strategies including open-source adoption, workforce development, and cross-sector partnerships. By integrating theoretical perspectives, methodological guidance, and practical examples, the article provides organizations with actionable insights for deploying big data analytics in both developed and resource-constrained environments.
Key Topics
- Customer behavior and predictive modeling
- Operational efficiency and supply chain analytics
- Risk management and fraud detection
- Product innovation through data insights
- Emerging market strategies
- Open-source and cloud-based solutions
Suggested Citation
Kazanskaia, A. N. (2025). Real-World Applications of Big Data Analytics in Business. NEYA Global Journal of Non-Profit Studies. Neya Global Publishing. https://doi.org/10.64357/neya-gjnps-hr-bg-dt-07
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