My Account Log in

1 option

Fraud data analytics methodology : the fraud scenario approach to uncovering fraud in core business systems / Leonard W. Vona.

Lippincott Library HF5667 .V659 2017
Loading location information...

Available This item is available for access.

Log in to request item
Format:
Book
Author/Creator:
Vona, Leonard W., 1955- author.
Series:
Wiley corporate F & A series
Wiley corporate F&A series
Language:
English
Subjects (All):
Auditing.
Forensic accounting.
Fraud--Prevention.
Fraud.
Auditing, Internal.
Physical Description:
xi, 388 pages ; 24 cm.
Place of Publication:
Hoboken, New Jersey : John Wiley & Sons, Inc., [2017]
Contents:
Chapter 1 Introduction to Fraud Data Analytics 1
Chapter 2 Fraud Scenario Identification 17
Chapter 3 Data Analytics Strategies for Fraud Detection 41
Chapter 4 How to Build a Fraud Data Analytics Plan 81
Chapter 5 Data Analytics in the Fraud Audit 109
Chapter 6 Fraud Data Analytics for Shell Companies 127
Chapter 7 Fraud Data Analytics for Fraudulent Disbursements 149
Chapter 8 Fraud Data Analytics for Payroll Fraud 183
Chapter 9 Fraud Data Analytics for Company Credit Cards 205
Chapter 10 Fraud Data Analytics for Theft of Revenue and Cash Receipts 227
Chapter 11 Fraud Data Analytics for Corruption Occurring in the Procurement Process 247
Chapter 12 Corruption Committed by the Company 269
Chapter 13 Fraud Data Analytics for Financial Statements 285
Chapter 14 Fraud Data Analytics for Revenue and Accounts Receivable Misstatement 311
Chapter 15 Fraud Data Analytics for Journal Entries 333.
Notes:
Includes index.
ISBN:
9781119186793
111918679X
OCLC:
936011309

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account