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Fraud and Fraud Detection : A Data Analytics Approach

Fraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. The book begins by reviewing the major types of fraud, then details the specific computerized tests that can detect the...

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Bibliographic Details
Main Author: Sunder Gee
Format: Online
Language:Inggris
Published: John Wiley & Sons 2015
Online Access:http://103.142.62.240:80/perpus/index.php?p=show_detail&id=992049
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id oai:slims-992049
recordtype slims
institution IAIN Pekalongan
collection Book
language Inggris
format Online
author Sunder Gee
spellingShingle Sunder Gee
Fraud and Fraud Detection : A Data Analytics Approach
author_facet Sunder Gee
author_sort Sunder Gee
title Fraud and Fraud Detection : A Data Analytics Approach
title_short Fraud and Fraud Detection : A Data Analytics Approach
title_full Fraud and Fraud Detection : A Data Analytics Approach
title_fullStr Fraud and Fraud Detection : A Data Analytics Approach
title_full_unstemmed Fraud and Fraud Detection : A Data Analytics Approach
title_sort fraud and fraud detection : a data analytics approach
description Fraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's 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
publisher John Wiley & Sons
publishDate 2015
url http://103.142.62.240:80/perpus/index.php?p=show_detail&id=992049
_version_ 1690546523475017728
spelling oai:slims-992049Fraud and Fraud Detection : A Data Analytics Approach Sunder Gee John Wiley & Sons 2015 Cet. 1 Inggris BUKU BUKU xvi, 336 hlm., 26 cm. Fraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's 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 Fraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's 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 Managerial Accounting 658.473 http://103.142.62.240:80/perpus/index.php?p=show_detail&id=992049 9781118779651 658.473 GEE f 16BIC160648.00
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