The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Role of Data Science and Data Analytics in Forensic Accounting and Fraud Detection
Abstract
The chapter examines the roles of data science and big data analytics to forensic accountants and fraud detection. It also considers how data science techniques could be applied to the investigative processes in forensic accounting. Basically, the current increase in the volume, velocity, and variety of data offer a rich source of evidence for the forensic accountant who needs to be familiar with the techniques and procedures for extracting, analysing, and visualising such data. This is against backdrop of continuous global increase in economic crime and frauds, and financial criminals are getting more sophisticated, taking advantage of the opportunities provided by the unstructured data constantly being created with every email sent, every Facebook post, every picture on Instagram, or every thought share on Twitter. Consequently, it is important that forensic accountants are constantly abreast with developments in data science and data analytics in order to stay a step ahead of fraudsters as well as address evolving vulnerabilities created by big data.
Related Content
|
N. Geethanjali, K. M. Ashifa, Avantika Raina, Jayashree Patil, Rameshwaran Byloppilly, S. Suman Rajest.
© 2024.
19 pages.
|
|
Praveen Kakada, Muhammed Shafi M. K..
© 2024.
14 pages.
|
|
P. S. Venkateswaran, Divya Marupaka, Sachin Parate, Amit Bhanushali, Latha Thammareddi, P. Paramasivan.
© 2024.
15 pages.
|
|
M. Lishmah Dominic, P. S. Venkateswaran, Latha Thamma Reddi, Sandeep Rangineni, R. Regin, S. Suman Rajest.
© 2024.
15 pages.
|
|
S. Sivabala, P. Vidyasri.
© 2024.
23 pages.
|
|
H. Hajra, G. Jayalakshmi.
© 2024.
22 pages.
|
|
Anusha Thakur.
© 2024.
15 pages.
|
|
|