<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The integration of data analytics into forensic accounting has revolutionized the detection and prevention of financial fraud. This paper conducts a comprehensive analysis of recent advancements in this field, highlighting the application of machine learning, data mining, and big data techniques in identifying fraudulent activities. By reviewing the latest research and examining case studies, we demonstrate the enhanced accuracy and efficiency these technologies offer over traditional methods. The findings suggest that financial institutions should adopt these advanced tools to mitigate fraud risks and improve overall financial security.</p>
<p>The paper also explores future research directions, emphasizing the need for developing hybrid models and real-time detection systems to further enhance fraud detection capabilities.</p>
</abstract>

The integration of data analytics into forensic accounting has revolutionized the detection and prevention of financial fraud. This paper conducts a comprehensive analysis of recent advancements in this field, highlighting the application of machine learning, data mining, and big data techniques in identifying fraudulent activities. By reviewing the latest research and examining case studies, we demonstrate the enhanced accuracy and efficiency these technologies offer over traditional methods. The findings suggest that financial institutions should adopt these advanced tools to mitigate fraud risks and improve overall financial security.
The paper also explores future research directions, emphasizing the need for developing hybrid models and real-time detection systems to further enhance fraud detection capabilities.

Innovative approaches in forensic accounting: The role of data analytics

PhD candidate in Management, University of Sarajevo

Journal of Forensic Accounting Profession

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Innovative approaches in forensic accounting: The role of data analytics"}

The integration of data analytics into forensic accounting has revolutionized the detection and prevention of financial fraud. This paper conducts a...

Innovative approaches in forensic accounting: The role of data analytics

Data publikacji: 31 lip 2024

Zakres stron: 1 - 14

Otrzymano: 16 cze 2024

Przyjęty: 30 cze 2024

DOI: https://doi.org/10.2478/jfap-2024-0001

Słowa kluczowe
data analytics, forensic accounting, fraud detection, big data, audit analytics

© 2024 Amra Kapo et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Innovative approaches in forensic accounting: The role of data analytics

Data publikacji: 31 lip 2024

Zakres stron: 1 - 14

Otrzymano: 16 cze 2024

Przyjęty: 30 cze 2024

DOI: https://doi.org/10.2478/jfap-2024-0001

Słowa kluczowedata analytics, forensic accounting, fraud detection, big data, audit analytics

© 2024 Amra Kapo et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
data analytics, forensic accounting, fraud detection, big data, audit analytics