About this project
This study evaluates the application of forensic accounting techniques — Benford's law analysis, ratio red flags and data mining — in detecting and preventing fraud in commercial banks. It reviews documented fraud cases, interviews internal auditors, and tests how earlier application of forensic techniques would have changed outcomes.
Methodology
Case study
Chapters 1–5 outline
Chapter 1
Introduction: background to forensic accounting in banking, statement of the problem (bank fraud keeps evolving faster than traditional statutory audits can detect it), aim and objectives, research questions, scope, significance of the study, and definition of terms.
Chapter 2
Literature Review: theoretical framework, review of related works on forensic accounting in banking, gaps in existing studies, and a summary positioning this project.
Chapter 3
Methodology / System Analysis and Design: case study design; auditor interviews; document analysis. Includes data collection method, system requirements, use-case and architecture diagrams (or population, sample size, and instrument).
Chapter 4
Implementation and Results: evaluation of detection timelines with and without forensic techniques. Presentation of findings, testing, evaluation, and discussion of results.
Chapter 5
Summary, Conclusion and Recommendations: key findings, contribution to knowledge, limitations, and recommendations for further research.
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