The Role of Big Data in Decision-Making: Current Trends in Australia’s Big Four Banks

Abstract—Big Data analytics has emerged as a cornerstone of strategic decision-making in the global banking sector. In Australia, the Big Four Banks, Commonwealth Bank of Australia (CBA), National Australia Bank (NAB), Australia and New Zealand Banking Group (ANZ), and Westpac Banking Corporation, have increasingly adopted Big Data systems to improve customer insights, strengthen risk management, and enhance fraud detection capabilities. This study reviews recent applications and benefits of Big Data-driven decision-making in the Australian banking industry, highlighting collaborations with AI-based analytics providers and developments in openbanking ecosystems. While Big Data has delivered substantial gains in predictive accuracy, operational efficiency, and customer engagement, the sector continues to face challenges related to data quality, governance, privacy, ethics, and system scalability. These issues demonstrate that technology alone is not enough; long-term success requires strong governance, responsible data practices, and alignment with regulatory and organisational objectives. Overall, the findings indicate that effective Big Data integration is reinforcing the sector’s competitive advantage and driving continued innovation in data-driven financial services. Index Terms—Big Data, Decision-Making, Banking Analytics, Applications, Australian Big Four Banks

Authors

Publication Details

Published
2026-03-02
DOI
https://doi.org/10.25397/xxkz-p432
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Role of Big Data in Decision-Making: Current Trends in Australia’s Big Four Banks

Sathyapriya Govindarajulu, Ziwei Hou
Big Data and Business Intelligence
article

The Role of Big Data in Decision-Making: Current Trends in Australia’s Big Four Banks

Sathyapriya Govindarajulu, Ziwei Hou
article en

Abstract

Abstract—Big Data analytics has emerged as a cornerstone of strategic decision-making in the global banking sector. In Australia, the Big Four Banks, Commonwealth Bank of Australia (CBA), National Australia Bank (NAB), Australia and New Zealand Banking Group (ANZ), and Westpac Banking Corporation, have increasingly adopted Big Data systems to improve customer insights, strengthen risk management, and enhance fraud detection capabilities. This study reviews recent applications and benefits of Big Data-driven decision-making in the Australian banking industry, highlighting collaborations with AI-based analytics providers and developments in openbanking ecosystems. While Big Data has delivered substantial gains in predictive accuracy, operational efficiency, and customer engagement, the sector continues to face challenges related to data quality, governance, privacy, ethics, and system scalability. These issues demonstrate that technology alone is not enough; long-term success requires strong governance, responsible data practices, and alignment with regulatory and organisational objectives. Overall, the findings indicate that effective Big Data integration is reinforcing the sector’s competitive advantage and driving continued innovation in data-driven financial services. Index Terms—Big Data, Decision-Making, Banking Analytics, Applications, Australian Big Four Banks

Openalex Percentile: Top 46%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.