What type of study is this?

This is a Literature Review study (also classified as: Theoretical Analysis).

September 10, 2025Economic ConsultantOpen Access

Benefits of Big Data in the Financial Sector and Financial Stability Risks

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Authors

FCFedor O. ChernenkovSynergy University OMOmer Allagabo Omer MustafaSt George’s University Hospitals NHS Foundation Trust

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Implication

Theoretical analysis examines big data benefits and financial stability risks in financial institutions, suggesting enhancements in risk management and fraud detection.

Key Points

Big data applications improve operational efficiency and enhance risk management in the financial sector.
Risks associated with big data adoption include vulnerabilities in fraud detection and regulatory compliance.
Theoretical analysis alongside literature review identifies benefits like predictive modeling and regulatory enhancements.
Strategic implications of big data technologies highlight both potential benefits and limitations in financial applications.

Cite This Study

Chernenkov et al. (2024) studied this question.

synapsesocial.com/papers/68c1dda954b1d3bfb60fcad7 https://doi.org/10.46224/ecoc.2024.3.3

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Implication

Theoretical analysis examines big data benefits and financial stability risks in financial institutions, suggesting enhancements in risk management and fraud detection.

Benefits of Big Data in the Financial Sector and Financial Stability Risks

Discussion

Member takes

Implication

Key Points

Cite This Study

Benefits of Big Data in the Financial Sector and Financial Stability Risks

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider