Opening book details…
Can I read Using Analytics to Detect Possible Fraud : Tools and Techniques on EtoBox?
Using Analytics to Detect Possible Fraud : Tools and Techniques by Mantone, Pamela S. (editor) is a nonfiction available to read on EtoBox.
What is Using Analytics to Detect Possible Fraud : Tools and Techniques about?
**Detailed tools and techniques for developing efficiency and effectiveness in forensic accounting**__Using Analytics to Detect Possible Fraud: Tools and Techniques__ is a practical overview of the first stage of forensic accounting, providing a common source of analytical techniques used for both efficiency and effectiveness in forensic accounting investigations. The book is written clearly so that those who do not have advanced mathematical skills will be able to understand the analytical tests and use the tests in a forensic accounting setting. It also includes case studies and visual techniques providing practical application of the analytical tests discussed. * Shows how to develop both efficiency and effectiveness in forensic accounting * Provides information in such a way that non-practitioners can easily understand * Written in plain language: advanced mathematical skills are not required * Features actual case studies using analytical tests Essential reading for every investor who wants to prevent financial fraud, __Using Analytics to Detect Possible Fraud__ allows practitioners to focus on areas that require further investigative techniques and to unearth deceptive financ
Who reads Using Analytics to Detect Possible Fraud : Tools and Techniques?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Mantone, Pamela S. (editor)
- Publisher
- Wiley & Sons, Limited, John
- Published
- 2013
- Language
- EN
- ISBN
- 9781118715987
- Category
- nonfiction
- Subjects
- Business, Management, Social Science
More by Mantone, Pamela S. (editor)
Browse all works by Mantone, Pamela S. (editor)
Similar books
- Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection — Wouter Verbeke & Veronique Van Vlasselaer & Bart Baesens Wouter Verbeke (2015)
- Fraud Auditing and Forensic Accounting : New Tools and Techniques — Bologna, G. Jack, Lindquist, Robert J. (1995)
- Fraud Detection : Using Data Analysis Techniques to Detect Fraud — David G. Coderre (1999)
- Practical Fraud Prevention : Fraud and AML Analytics for Fintech and eCommerce, Using SQL and Python — Gilit Saporta; Shoshana Maraney (2022)
- Financial Shenanigans, Fourth Edition: How to Detect Accounting Gimmicks & Fraud in Financial Reports: How to Detect Accounting Gimmicks and Fraud in Financial Reports — Howard M. Schilit & Jeremy Perler & Yoni Engelhart (2018)
- Profiling The Fraudster: Removing The Mask To Prevent And Detect Fraud Removing The Mask To Prevent And Detect Fraud — Padgett, Simon (author.) (2014)