Big Data Management in Commercial Banking: A Developmental Appraisal of Relevant Underpinning Theories

EFUNTADE; Olubunmi Omotayo; Ph.D.  EFUNTADE; Alani Olusegun; Ph.D.

doi:10.56201/ijbfr.v10.no7.2024.pg61.74

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Big Data Management in Commercial Banking: A Developmental Appraisal of Relevant Underpinning Theories

EFUNTADE, Olubunmi Omotayo, Ph.D. EFUNTADE, Alani Olusegun, Ph.D.

Abstract

This is a conceptual and theoretical review paper that explore big data which is referred to large volumes of structured, semi-structured, and unstructured data that inundates a business on a day- to-day basis and management in banking sector of Nigeria. Big data draws heavily from information theory, which quantifies the amount of uncertainty involved in the value of a random variable. Big data analytics helps banks identify and mitigate various risks, including credit, market, operational, and regulatory risks. By analyzing historical data and real-time transactions, banks can detect fraud, predict default rates, and assess the creditworthiness of borrowers more accurately. Machine learning and data mining propose that by applying algorithms and statistical techniques to big data, banks can uncover patterns, trends, and relationships that can inform decision-making processes, improve risk management, and enhance customer experience. Statistical methods and probability distributions are used to analyze and make sense of large datasets, enabling data scientists to draw meaningful conclusions from the data. Statistical and probability theory propose that by applying mathematical models and methods to large datasets, banks can gain insights into customer behavior, market trends, and financial risks. It is recommended that banks should establish a robust data governance framework and upgrade data infrastructure to harness the power of big data to drive innovation, improve decision-making, and enhance competitiveness in the digital era.

Keywords

Banking sectordata mining theoryinformation theoryNigeriastatistical theory

References

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Big Data Management in Commercial Banking: A Developmental Appraisal of Relevant Underpinning Theories

Abstract

Keywords

References

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