Data Analytics In Banking
Data Analytics in Banking is a scholarly construct that integrates statistical, computational, and machine learning techniques within the domain of banking to systematically extract actionable insights from financial data, thereby enabling evidence-based decision-making in risk assessment, customer behavior prediction, fraud detection, and operational efficiency.
412
Publications
22.3K
Citations
1.1K
Authors
556
Institutions
Publications per year
2017–2026
300
Parents
412
1–5 of 412
1.1K
Institute for Development and Research in Banking Technology, India
6 publications · 656 citations
6
h-index
5
h-index
5
h-index
5
h-index
4
h-index
1–5 of 1.1K
556
Institute for Development and Research in Banking Technology
Hyderabad, India
7 h-index
15 publications
1.4K citations
University of Technology Sydney
Sydney, Australia
7 h-index
10 publications
1.7K citations
Iscte – Instituto Universitário de Lisboa
Lisbon, Portugal
7 h-index
11 publications
2.8K citations

International Monetary Fund
Washington D.C., United States
7 h-index
18 publications
756 citations
European Central Bank
Frankfurt am Main, Germany
5 h-index
5 publications
238 citations
Helwan University
Cairo, Egypt
4 h-index
9 publications
174 citations

University of Tehran
Tehran, Iran
4 h-index
6 publications
528 citations
University of Jordan
Amman, Jordan
4 h-index
12 publications
845 citations
1–8 of 556
Repository · 14 publications · 596 citations
12
h-index
10 publications · 1.1K citations
10
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6 publications · 167 citations
6
h-index
5 publications · 782 citations
5
h-index
5 publications · 1.1K citations
5
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1–5