leveraging technology using keyword analytics in fraud and compliance monitoring
Post on 11-Feb-2017
988 Views
Preview:
TRANSCRIPT
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 CAATs1970’s 1980’s 1990’s 2000 2010
Simple Parallel Simulations
Test DecksIntegrated Test Facilities
Extensive Parallel Simulations,
Test Decks/ITFs
Comprehensive Data Analysisand Testing
Digital Analysis
Data analytics
Fraud TriangleAnalytics
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 Visicalc1978)
• 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 AnalyticsWhy the Study
Data: Electronically Stored InformationStructured vs Unstructured DataStructured UnstructuredG/L ‐ e‐MailAccounting Systems ‐ PresentationsData Bases ‐ DocumentsBig Data has been growing at an annual compounded rate of 40% a year over the past 5 yearsAmple opportunities to hide fraud in the dataAuditors 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
Wordlewww.wordle.net
Key Word / Textual AnalyticsThoughts 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%2016%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
top related