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This is a Literature Review study.

August 18, 2025The American Journal of Engineering And TechnologyOpen Access

Big Data Analytics in Information Systems Research: Current Landscape and Future Prospects Focus: Data science, cloud platforms, real-time analytics in IS

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Authors

YAYeasin ArafatWycliffe College DADhiraj Kumar Akula YMY. MohammedNational Institute of Chemical Physics and Biophysics

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Implication

Mixed-method research reveals trends and opportunities in big data analytics for information systems, indicating growth in areas like cloud platforms and real-time analytics.

Key Points

A significant increase in big data analytics research for information systems highlights its rising importance and application across various sectors.
Analysis of 1,136 articles indicates strong trends in machine learning and predictive modeling alongside cloud-based environments.
A mixed-method approach combines bibliometric analysis and qualitative synthesis to explore current and future trends.
Concerns remain regarding algorithmic transparency and data interoperability, emphasizing the need for responsible development in big data analytics.

Cite This Study

Arafat et al. (2025) studied this question.

synapsesocial.com/papers/68af4328ad7bf08b1ead2191 https://doi.org/10.37547/tajet/volume07issue08-16

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Implication

Mixed-method research reveals trends and opportunities in big data analytics for information systems, indicating growth in areas like cloud platforms and real-time analytics.

Big Data Analytics in Information Systems Research: Current Landscape and Future Prospects Focus: Data science, cloud platforms, real-time analytics in IS

Discussion

Member takes

Implication

Key Points

Cite This Study

Big Data Analytics in Information Systems Research: Current Landscape and Future Prospects Focus: Data science, cloud platforms, real-time analytics in IS

Discussion

Member takes

Implication

Key Points

Cite This Study

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