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Leveraging Technology 
Using Keyword Analytics 
in Fraud and Compliance 
Monitoring
About Jim Kaplan CIA CFE
• Internal audit professional
• CIA and CFE
• Recipient of the IIA’s Bradford Cadmus Award 
and Local Government Auditors Lifetime 
Achievement Award
• Founder and Creator of AuditNet®
AuditNet® Content
• AuditNet® provides more than 2,400 
audit templates to subscribers and site 
license users including TeamMate
• Content includes the complete 
AuditNet® library of over 15,000 audit 
procedures and workpapers. New 
content is added to the site every 
month including articles, templates, 
surveys and much more. 
• Approximately 5% of the content is 
fraud specific (templates, matrices, 
guides)
• 2014 acquired AuditNet.com domain 
name
• Guidance ‐ TeamMate AM ‐ How to 
Move or Copy TeamStore AuditNet 
Content to your TeamStore
Session Agenda
• Technology and CAATs 
• What is Audit Keyword Analytics?
• 2014 AuditNet® Survey 
• Why use AKA?
• Strategies to Consider
• Tools at your Fingertips
• The Training Element
• Keyword Analytic Tools
Evolution of CAATs
1970’s 1980’s 1990’s 2000 2010
Simple Parallel 
Simulations
Test Decks
Integrated Test 
Facilities
Extensive 
Parallel 
Simulations,
Test Decks/ITFs
Comprehensive 
Data Analysis
and Testing
Digital 
Analysis 
Data 
analytics 
Fraud Triangle
Analytics 
Big Data
Keyword 
Analytics
Data Analysis Software
• IDEA 1986 (DOS, Windows 1995) 
(CICA then CaseWare)
• ACL 1987 (Harald Will)
• TeamMate Analytics 2014 
(TopCAATs) Excel Add‐In
• ActiveData 2003 (John West IDEA 
Developer) Excel Add‐In
• Excel 1987 (started as Visicalc
1978)
• Arbutus 2012 (Grant Brodie ACL 
developer)
Keyword Analytics Defined
• Process involves mining electronic 
communications for
• “key words”. These key words, when 
appearing in emails, text messages 
etc. may indicate that
• the sender (and possibly the recipient) 
are engaging in some method of 
fraudulent behavior. 
Big Data and Audit
• The ongoing information explosion is reaching 
epic proportions and has earned its own 
name: Big Data. 
• Gartner, and now much of the industry, use 
the so‐called "3Vs" model to classify Big Data: 
"Big data is high Volume, high Velocity, and/or 
high Variety information assets that require 
new forms of processing to enable enhanced 
decision making, insight discovery and 
process optimization." This clearly describes 
the type of data auditors and internal 
investigators have to deal with today. 
• ZyLAB Fraud Prevention and Detection Program
Survey Overview
• Using Key Word Analysis of an 
Organization’s Big Data for Error 
and Fraud Detection
• Survey Origins
• Survey Development
• Webinar Tools and Technology
Keyword Concept
• Academic Research 
• ACFE
• Federal Government 
• Technology consultants
E&Y FBI Project – FCPA Top 15 
phrases shared in articles and 
presentations from over 3,000 
extracted
Survey Development
• Survey Background – Why?
• Survey Design
• Collaboration Efforts
• Survey Results and Collaboration
• Training 
Key Word / Textual Analytics
Why the Study
Data: Electronically Stored Information
Structured vs Unstructured Data
Structured  Unstructured
G/L ‐ e‐Mail
Accounting Systems ‐ Presentations
Data Bases ‐ Documents
Big Data has been growing at an annual 
compounded rate of 40% a year over the past 
5 years
Ample opportunities to hide fraud in the data
Auditors Need to Expand their Auditing 
Approach and Get Smart in these areas
Page 13
Benefits of Textual Analysis as a Component of Data 
Analytics
Risk Assessment
Early Detection of Misconduct
Fraud Risk Detection
Allows for a Methodology to Analyze Non‐
Structured Data
Page 14
Key Word / Textual Analytics 
Practical Applications
• Pro‐Active Fraud Detection (FTA) or (FDA)
• Foreign Corrupt Practices Act (FCPA)  
• AML
• Corrupt Officials
• Mergers & Acquisitions – Transaction Due 
Diligence
• Identifying
• High Risk Departments
• Disgruntled employees
• Journal Entry Analysis
• Cost Accounting
• Data Repository Audits / Compliance Testing
Page 15
Data Types
• Unstructured vs 
Structured
Wordle
www.wordle.net
Key Word / Textual Analytics
Thoughts and Other Take‐Away’s for Key Word 
Searches
 Use this List of Key Words to Match against 
your Population your testing
 Look for Negative Words 
 Foul Language / Curse Words 
 Action Words which are not Business 
Related
 Suspicious Activity In The Wrong Accounts 
 Words that Make NO Sense for your Industry
©2014 AuditNet® and Cash
Recovery PartnersPage 18
Strategies/Techniques
• Determine the objective for the analytics
• Fraud Risk Assessment (FTA or FDA)
• Compliance (FCPA)
• Audit (Errors, Anomalies, Standards)
• Select the team responsible for carrying 
out the analysis. 
• Create the team 
• Run the analytics
• Assess results
• Refine and Re‐Run
Tools
• Data analytic software
• Microsoft Excel
• TeamMate Analytics
• IDEA, Arbutus, ACL, ActiveData
• Keyword List
• Macros and scripts
• Guidance 
• GTAG – Data Analysis Technologies ‐
http://www.iia.nl/SiteFiles/IIA_leden/GTAG%20
16%20Data%20Analysis%20Technologies.pdf
Training Element
• Training Planning and Doing – Oh My!
• Videos and recordings
• Classroom
• CBT
• Mentoring
• Outsourcing the data analytic task
Excel Keyword Macro
Technology Future Perspective
Lanza Approach to Letter Analytics (LALA) – a new 
technique available for data analytics.
Do you know who 
this is? 
Hint: he is the 
father of the 
Internet
Where to go for more!
• AuditNet® ‐ recordings and list of 
keywords
• AuditSoftWareVideos – free 
video training
• YouTube – Search Audit Data 
Analytics
Thanks for Attending!
26
The Keyword Analytics Video is available for download at 
https://attendee.gotowebinar.com/recording/6643280404265659137
If you would like to purchase the data files send an email to 
jkaplan@auditnet.org

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