Fraud and Fraud Detection, + Website: A Data Analytics Approach by Sunder Gee - PDF free download eBook

Book author:

  • Published: Dec 26, 2015
  • Reviews: 165

Brief introduction:

Detect fraud faster—no matter how well hidden—with IDEA automationFraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWares IDEA software. The...

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Details of Fraud and Fraud Detection, + Website: A Data Analytics Approach

ISBN
9781118779651
Publisher
Wiley
Publication date
Age range
18+ Years
Book language
English
Pages
352
Format
PDF, CHM, FB3, RTF
Quality
Normal quality OCR
Dimensions
7.00 (w) x 10.00 (h) x 1.40 (d)
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Some brief overview of this book

Detect fraud faster—no matter how well hidden—with IDEA automation

Fraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWares IDEA software. The book begins by reviewing the major types of fraud, then details the specific computerized tests that can detect them. Readers will learn to use complex data analysis techniques, including automation scripts, allowing easier and more sensitive detection of anomalies that require further review. The companion website provides access to a demo version of IDEA, along with sample scripts that allow readers to immediately test the procedures from the book.

Business systems electronic databases have grown tremendously with the rise of big data, and will continue to increase at significant rates. Fraudulent transactions are easily hidden in these enormous datasets, but Fraud and Fraud Detection helps readers gain the data analytics skills that can bring these anomalies to light. Step-by-step instruction and practical advice provide the specific abilities that will enhance the audit and investigation process. Readers will learn to:

Understand the different areas of fraud and their specific detection methods

Identify anomalies and risk areas using computerized techniques

Develop a step-by-step plan for detecting fraud through data analytics

Utilize IDEA software to automate detection and identification procedures

The delineation of detection techniques for each type of fraud makes this book a must-have for students and new fraud prevention professionals, and the step-by-step guidance to automation and complex analytics will prove useful for even experienced examiners. With datasets growing exponentially, increasing both the speed and sensitivity of detection helps fraud professionals stay ahead of the game. Fraud and Fraud Detection is a guide to more efficient, more effective fraud identification.

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A few words about book author

SUNDER GEE spent much of his career at the Canada Revenue Agency, including holding the position of Electronic Commerce Audit Advisor for the Head Office. He has advised tax authorities around the world on the topic of computer-assisted audit techniques (CAAT). Sunder has prepared widely respected corporate training material and college courses on forensic accounting, anti–money laundering, and data analytics.

tection of anomalies that require further review. The companion website provides access to a demo version of IDEA, along with sample scripts that allow readers to immediately test the procedures from the book.

Business systems electronic databases have grown tremendously with the rise of big data, and will continue to increase at significant rates. Fraudulent transactions are easily hidden in these enormous datasets, but Fraud and Fraud Detection helps readers gain the data analytics skills that can bring these anomalies to light. Step-by-step instruction and practical advice provide the specific abilities that will enhance the audit and investigation process. Readers will learn to:

Understand the different areas of fraud and their specific detection methods

Identify anomalies and risk areas using computerized techniques

Develop a step-by-step plan for detecting fraud through data analytics

Utilize IDEA software to automate detection and identification procedures

The delineation of detection techniques for each type of fraud makes this book a must-have for students and new fraud prevention professionals, and the step-by-step guidance to automation and complex analytics will prove useful for even experienced examiners. With datasets growing exponentially, increasing both the speed and sensitivity of detection helps fraud professionals stay ahead of the game. Fraud and Fraud Detection is a guide to more efficient, more effective fraud identification.

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EPUB

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PDF

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FB2

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