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Fighting Fraud with Data Mining Techniques Audimation Services, Inc. Carolyn J. Newman, CPA,

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Page 1: PowerPoint Version

Fighting Fraud with Data Mining Techniques

Audimation Services, Inc.Carolyn J. Newman, CPA, CISA

Page 2: PowerPoint Version

© Audimation Services, Inc.

“The experts in IDEA Data Analysis Software”

v.v.

Data Mining Defined

Data mining is the analysis of data with the intent to discover gems of hidden information in the vast quantity of data that has been captured in the normal course of running the business.

Most commonly used:

Customer Relationship ManagementFraud Detection and Prevention

Page 3: PowerPoint Version

© Audimation Services, Inc.

“The experts in IDEA Data Analysis Software”

Three Key Terms

Discover

Extract

Gems

Evidence

Relationships

Patterns

Customer Relationship Management

Fraud Detection and Prevention

Page 4: PowerPoint Version

© Audimation Services, Inc.

“The experts in IDEA Data Analysis Software”

Important GAO Report

Discover

Extract

Hidden

Hiding

Page 5: PowerPoint Version

© Audimation Services, Inc.

“The experts in IDEA Data Analysis Software”

Searchingfor Text

in MultipleFields

and Files

Testing for Completeness –

Gaps & Duplicates

Cross Matching Data

BetweenFiles/Systems

Main Areas for IDEA Use in Data Mining to Detect Fraud

IdentifyingExceptional

Items

Checking Calculations

Analytical Review

IDEA ®

Data Analysis Software

Page 6: PowerPoint Version

© Audimation Services, Inc.

“The experts in IDEA Data Analysis Software”

Potential IDEA Use in anAP Fraud Examination

Test 1 Test 2 Test 3 Test 4

Match payments against authorized suppliers list

Match vendor bank account numbers to employee bank account numbers

Match suppliers against employee surnames

Match delivery addresses to employee addresses

Page 7: PowerPoint Version

© Audimation Services, Inc.

“The experts in IDEA Data Analysis Software”

Test 5 Test 6 Test 7 Test 8

Identify large variances from prior years

Potential IDEA Use in anAP Fraud Examination

Test for duplicate invoices

Test for duplicate payments

Identify gaps in check sequences

Page 8: PowerPoint Version

© Audimation Services, Inc.

“The experts in IDEA Data Analysis Software”

Test 9 Test 10 Test 11 Test 12

Examine amounts at or just below break points

Potential IDEA Use in anAP Fraud Examination

Identify split invoices

Test for large discounts

Stratify payments and examine all large amounts

Page 9: PowerPoint Version

© Audimation Services, Inc.

“The experts in IDEA Data Analysis Software”

Test 13 Test 14

Analyze days to pay and identify suppliers with wide variance from average

Potential IDEA Use in anAP Fraud Examination

Identify exceptional transactions–Extract certain payees–Extract all round $1000 payments–Extract payments authorized by a certain

individual–Extract all payments on a Sunday–Extract all payments prior to invoice date

Page 10: PowerPoint Version

© Audimation Services, Inc.

“The experts in IDEA Data Analysis Software”

IDEA’s New Smart Analyzers

Smart Analyzer Complete includes tests for General Ledger, Accounts Receivable and Accounts Payable

Page 11: PowerPoint Version

© Audimation Services, Inc.

“The experts in IDEA Data Analysis Software”

Report Mining - a Low-cost and High-impact Alternative

USERS OF INFORMATION

OPERATIONAL DATA

Report Mining Tools (IDEA)

Report Generators

HardcopyReports

Data Mining Tools

Data Warehouse

Data Mining Tools

Report Generators

ReportFiles

Page 12: PowerPoint Version

© Audimation Services, Inc.

“The experts in IDEA Data Analysis Software”

Report Mining - Characteristics

Your Text hereYour Text here

Existing reports already contain meta data, data and business rules (and extract parameters)

Existing reports already contain meta data, data and business rules (and extract parameters)

Your Text hereYour Text here

Instead of mining data in the database, mining data contained in electronic copies of existing reports

Instead of mining data in the database, mining data contained in electronic copies of existing reports

TitleTitleReport Mining No restructuring is necessary

No restructuring is necessary

Compatibility across computing environments

Compatibility across computing environments

No access to data necessary (or implied)

No access to data necessary (or implied)

No impact on production environment

No impact on production environment

Page 13: PowerPoint Version

© Audimation Services, Inc.

“The experts in IDEA Data Analysis Software”

Auditor’s Challenge

Maximize Productivity

Enhance Image of Auditing

Add Client Value

Page 14: PowerPoint Version

© Audimation Services, Inc.

“The experts in IDEA Data Analysis Software”

Become “Value Added”

Provide clients with better business advice

Provide additional services to new or existing customers

Reduce the client burden from auditors using technical resources to access data and generate desired reports

Page 15: PowerPoint Version

© Audimation Services, Inc.

“The experts in IDEA Data Analysis Software”

Enhance Your Image

Perform analysis on data from remote locations, without travel, and possibly prior to any on-site work – reduce time in the field

Focus on areas where the greatest risks are noted

Generate more specific questions and become a creative problem solver

Backup findings will be backed up with detail

IS - Prepare reports in a very short period of time and provide innovative solutions to better serve end users

Enhance your reputation and differentiate yourself from the competition

Page 16: PowerPoint Version

© Audimation Services, Inc.

“The experts in IDEA Data Analysis Software”

For more information about IDEA Data Analysis Software

visit us on the web atwww.audimation.com

Presenter:Carolyn J. Newman, CPA, CISA

[email protected]