Turning Analytics from NIce to Have to Must Have

1. Turning Analytics From
“Nice to Have” to “Must Have”
February 10, 2016
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2. About Jim Kaplan, CIA, CFE
 President and Founder of AuditNet®,
the global resource for auditors (now
available on iOS, Android and
Windows devices)
 Auditor, Web Site Guru,
 Internet for Auditors Pioneer
 Recipient of the IIA’s 2007 Bradford
Cadmus Memorial Award.
 Author of “The Auditor’s Guide to
Internet Resources” 2nd Edition
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Richard B. Lanza, CPA, CFE, CGMA
• Over two decades of analytic and cost recovery experience
(focused on ACL and Excel with associated add-ins)
• Has written and spoken on the use of audit data analytics for
over 20 years.
• Received the Outstanding Achievement in Business Award by
the Association of Certified Fraud Examiners for developing
the publication Proactively Detecting Fraud Using Computer
Audit Reports as a research project for the IIA
• Discovered a letter analytic approach for text analysis (LALA)
• Recently was a contributing author of:
• Global Technology Audit Guide (GTAG #13) Fraud in an
Automated World – Institute of Internal Auditors.
• Data Analytics – A Practical Approach - research whitepaper
for the Information System Accountability Control
Association.
• Cost Recovery – Turning Your Accounts Payable Department
into a Profit Center – Wiley and Sons.
Please see full bio at www.richlanza.com

4. Learning Objectives
Review results from a variety of online and in-person surveys
focused on analytics over the past decade
Extract for presentation analytic best practices being deployed by
top performing organizations
Explain the need for an effective culture around the analytics
program to bolster the technology implementation
Discuss the varying types of technology alternatives, outlining their
relative strengths and place at the analytics table
6
The Surveys
The State of Auditing & Analytics

5. Survey Update
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Preliminary Summary of Responses (over 200 as of February 5)
Audit technology gap? 72% yes
Identify audit technology training needs when developing the audit plan? 50%
no or don’t know
Audit technology training aligned with audit projects included in annual audit
plan? Over 50% no or don’t know
Models of training used? Split evenly over 4 categories
When taking audit technology training when is it applied? 20% immediately,
over 60% when there is an opportunity
Learning is reinforced in what way? 57% material review, 38% shared with staff
in-house training
What feedback is provided on the training? 38% none
Agree/Disagree on Training Issues
AuditNet® Survey - 2012 State of
Technology Use by Auditors
• Profile of Over 1,500 Responses
• 45% 5 or less auditors
• Technology tools used – mostly data analytics and EWP
• Technology tools least used – monitoring (continuous
audit and fraud), GRC, risk compliance
• Only 17% feel that their auditors are technology proficient
• Technology training primarily OJT
• 35% maintain an inventory of audit technology tools
• More than half (54%) rated their department at the
informal use level (ad hoc or none at all) for audit
technology
• Less than 4% rated their department at the highest
maturity level
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6. AuditNet® Survey - 2015 State of
Technology Use by Auditors
• Profile of Over 370 Responses
• 33% do not use data analysis / 20% more use it ad-hoc
• 67% do not use continuous controls monitoring
• 50% are moderately satisfied or less with their data
analytic implementation
• 55% have on the job training for technology
• Nearly 50% have no technology training budget
• 85% feel it is moderate to highly important to invest in
technology in order to improve its use
• 80% feel it is moderate to highly important that the CAE
embrace technology to increase usage
• Only 42% have a strategy for developing data analysis or
CCM software
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AuditNet® Survey - 2012 Data
Analysis Audit Software
• Profile of Over 550 Responses:
• 70% 10 or less auditors
• 30% had not purchased data analysis software
• Cost was the top reason for not buying the software
followed by training
• 57% felt that training was the key reason analytics is not
required on audits
• 59% of auditors do not require analytic steps in audits
• 64% felt that analytic audit programs would increase usage
• 91% said they do no “fear the software”
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7. AuditNet® Survey - 2015 Data
Analysis Software Survey
• Profile of Over 650 Responses
• 44% 5 or less auditors
• 40% have not purchased a data analytic software
• Nearly 45% have no data analysis skills or use them in an
ad hoc basis
• 45% have no staff trained in analytic software with 26%
noting they have no funding for training and 25% not
having the time to train on the software
• 23% are advanced / power users
• Less than 45% have ever scripted their work
• 73% use Excel as an analytic tool
• 78% do not link performance objectives to using analytics
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Key Word / Textual Analytics
AuditNet® Survey Results
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Queries of Unstructured
Data for Fraud
Compliance with Data
Analytic Tools?
Yes: 25%
No: 75%
Data Analytics used to
perform Key Word Search
for FCPA, Fraud, or
Keyword Compliance?
Yes: 33%
No: 67%
December 2014 Viewing and Key Word Data Files Available at:
http://www.auditnet.org/audit-data-analytics--4

8. 2015 Internal Audit Capabilities
and Needs Survey - Protiviti
• Over 800 responses
• Top focus is cybersecurity with leading firms having top support
from the board and senior management
• To avoid analytics being a never-ending journey, audit teams
need to address the question head-on
• GTAG-16 – Data Analysis Technologies is see as the top
needed guidance…and it was written in 2011
• In the last 3 years, it is the 1st appearance on the CAE’s list of focus
areas
• Of the top 13 areas to improve, 11 of them are focused on I.T.,
analytics, continuous assurance and other I.T topics
• Using analytics is a top priority as is mobile apps and the cloud
• Of the audit process knowledge areas, IT security and CAATS
are the top areas (tied for 1st)
• Audit efficiencies from CAATS opens time for more
collaboration with the business
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http://www.protiviti.com/IAsurvey
2015 Internal Audit Capabilities
and Needs Survey - Protiviti
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http://www.protiviti.com/IAsurvey

9. EY Global Forensic Data
Analytics Survey 2014
450 executives surveyed
 72% of respondents believe that emerging big data
technologies can play a key role in fraud
 Only 7% of respondents are aware of any specific big
data / Only 2% are using them
 12% utilize visualization / 26% apply key word searches
 62% of respondents indicate that they need to improve
management’s awareness of the benefits of analytics
 65% report the use of spreadsheet tools such as Microsoft
Excel for analytics with most reporting having databases
less than 1MM records
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IIA’s Staying a Step Ahead
Internal Audit’s Use of Technology
14,518 internal auditors surveyed
 1 out of 10 entering the profession had education in
information systems or computer science
 Data mining increased by 14% among survey respondents
from 2006 to 2015
• 80% of CEOs say data mining and analysis is strategic
 Computer assisted audit techniques dropped 4% in the same
timeframe?!?!?
 Fewer than 4 out of 10 chief audit executives (CAEs)
worldwide feel their departments' use of technology is
appropriate or better
 30% do not use data analysis and 22% more use it minimally
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http://bit.ly/1odDnbY

10. Polling Question #1
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The Surveys
Why Are We Not Using Analytics?

11. What Did the I.I. Analytics Find?
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21
News Flash: Projects Fail
Nothing New – KPMG Study
 56% of firms have had to write off at least one IT project in the
last year as a failure.
 The average loss incurred – approximately $13 Million
 The single biggest write-off - almost $210m
 Among the reasons cited for failure:
 inadequate planning
 poor scope management
 poor communication between the IT function and the business
“IT project failure is rampant – KPMG” The Register
Published 26th November 2002
http://www.theregister.co.uk/2002/11/26/it_project_failure_is_rampant/

12. Why Do You Not Include
Steps for Data Analytics
2015 AuditNet® Audit Data Analysis Software Survey
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Why Are They Not Buying
Data Analytics - 2012
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2012 AuditNet® Audit Data Analysis Software Survey

13. Why Have You Not Purchased
Data Analytics - 2015
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2015 AuditNet® Audit Data Analysis Software Survey
Reasons For Not Using
Data Analytic Software
2015 AuditNet® Audit Data Analysis Software Survey
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14. Best Practices
People, Process and Technology
People and Culture
“Competing on Analytics”
Thomas H. Davenport - Cofounder
Harvard Business Review – 2005 - Named by HBR as
“One of the twelve most important management ideas of the past decade”
 Champion analytics from the top
 Put data collection and analysis under one leader
 Focus analytics on your competitive strengths
 Establish an analytics culture
 Hire the right people
 Use the right technology for the job
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15. Ensure Tone at the Top for Analytics
 The person with the purse strings needs to see the value of
 In almost all best practice companies, the CAE was a past analytic auditor
 In others the audit committee was burnt in the past ad asks for it now
Build the Business Case
 “You can have brilliant ideas, but if you can't get them across, your ideas won't
get you anywhere “- Lee Iacocca
 Attach analytics to a regulation or a standard
 Find and track cost savings to prove and report analytic value
 Audit more with less / Reduce audit fees / Have an easier day
 Show audit sustainability with coded procedures
Back Door the Business Case – Project: Embarrass the Boss
 Send the boss to a roundtable of audit VPs who do analytics well
 Find something so large with analytics that it gets the audit committee to wake up
 My best audit finding: http://bit.ly/1S7mFY1
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People
The Carrot and the Stick
Collaborate with the external auditors (They create budget)
 Identify top areas of manual effort or deficiency
 Explain how risk will be lowered
 Focus on revenue testing - http://on.wsj.com/1IuYeQx
Collaborate with I.T. (They have budget)
 Build testing modulus to automate security and data privacy concerns
 Make their life easier / Reduce risk in their areas of domain
 Play to their ego / They can use best practice automated control
Collaborate with BPOs (They have more budget)
 Make their life easier / Reduce manual testing & questions
 Reduce risk in their areas of domain
 Focus less on risk testing and more on business value opportunities
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People
Collaborate With the “Purse Strings”

16. Analytic Benefit in Sum:
Doing More With Less
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2015 AuditNet® Audit Data Analysis Software Survey
Benefits Per the I.I.Analytics
Improper Payment Analytic Benefits
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17. Polling Question #2
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Surveillance is the quickest and
lowers fraud impacts
2014 Report to the Nation – Association of Certified Fraud Examiners
33
2/3 less value
Half the time

18. Managing Fraud in the
Digital Era – Deloitte Survey
3,600 responses
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http://bit.ly/20fcVKA
Audit Standards Are Moving
Towards More Analytics
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http://bit.ly/1PXdNhi
RADAR Initiative
Rutgers and AICPA Unveil
Data Analytics Research
Initiative (Dec 16, 2015)
http://bit.ly/1T3Tcyy

19. Audit Standards Are Moving
Towards More Analytics
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http://bit.ly/1VSoAxGhttp://bit.ly/1K1FfhQ
http://bit.ly/20LwA7a
Hire people with the experience and plan time for commitment
 Analytics needs a weekly, if not daily usage to retain knowledge
Make it part of “annual objectives”
 Every time you see the staff member – ask them – “Where’s the Analytics?”
 78% do not link performance objectives to the use of data analytics per the 2015
AuditNet® Data Analytics Survey
 Ironically, 64% view analytical/critical thinking skills to be the top skill for internal
auditors (CBOB 2015 Practitioner Survey)
Train like MetLife to make the “Auditor of 2020”
 MetLife trains auditors to become “The Auditor of 2020”
Where We’re Going - Internal Auditor – Feb 2016
• Auditors need to strengthen their foundational (analytic) skills, know how to increase their
use of data and analytics, and know when to leverage outside experts
• The auditor of 2020 is not just about data and analytics. It is advancing internal auditors
skills’ and experiences
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Turning Programmers into Auditors or
Auditors into Programmers
That is the Question

20. AuditNet® Who’s Training
Your Auditor Survey 2015
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KPMG 2015 View From the Top
Applying Technology Seen As Key Skill
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http://bit.ly/1nT5o8T

21. The Effect of a Champion
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Enhancing Audit Technology Effectiveness:
Teammate’s 2015 Global Technology Survey
http://bit.ly/1QiN5jG
The Effect of a Champion
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Enhancing Audit Technology Effectiveness:
Teammate’s 2015 Global Technology Survey
http://bit.ly/1QiN5jG

22. Train everyone (Opportunists and Champions)
 Different training for each group
 Both are experts in their own right
• Q builds the tools and understands how to optimize them
• Bond knows how to point & shoot it
 Communicate frequently
• Have a Data Analytics Bi-Weekly Meeting
Train staff with competency based training
 Just in time training of key skills seen as most desirable
Hire a coach
 Get the experience you need when you need it – private lesson style
 Provide a safe place to talk about what worked….and what didn’t
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People
Training Approaches
AuditNet® Who’s Training
Your Auditor Survey 2015
Over 300 Responses:
 Nearly 80% were not educated in college on audit technology
 40% consider themselves in the late majority or worse in
technology adoption
 Only 20% had “equal to all” technology training
 44% receive no technology training
 Of those trained, nearly 70% is in data analytics
 What is your department’s leveraging strategy
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23. What Training Are You Most
Likely To Purchase
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2015 AuditNet® Audit Data Analysis Software Survey
Effective Analytic Training Strategies
Don’t Have a Lone Ranger:
Train the Team
Build on a Common Learning
Ground – ExcelTM
Be Consistent With Monthly
Learning & Discussion
Provides a low-cost opportunity
to train on analytics throughout
2016 with 22 CPE credits
Get access to webinar data
files, audit programs, and Excel
macros prior to the event
http://bit.ly/1SkA6Ep
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24. Have a backup
 There can not be only one!
Code their knowledge
 Less than 45% have ever scripted their work
Document, save, and videotape your work
 Audit logs in software, flowcharts, and documents take minutes
to develop to the hours to later remember what was done
 Video editing (Camtasia) can be used to show how to run
applications for future auditors
 Video tape how to use reports in two-minute segments
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People - Get Past the “Lone
Ranger” Revolving Door
Polling Question #3
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25. Best Practices
People, Process and Technology
Audit Process Integration
Have a 1, 3 and 5 year plan
 Set a realistic plan and stick to it vs. pushing it off
 You can’t be “too busy” or “time bankrupt” to change
 Make analytics a priority on every audit
 Move up the curve: data collection to automated analytics (the 80/20 to 20/80)
Use analytics to predict the top areas of risk / locations to review
 48% of CAEs use analytics for scoping decisions and only 43% leverage data to
inform their risk assessment ( 2015 PwC State of the Internal Audit Profession).
 Use previous year trends to risk score current year business processes
 Have a better conversation with a process owner, now armed with data, to improve
your “critical thinking” skills
 Quantify your findings (2016 approach) vs. using hand-picked samples (1970 / 1980
approach to auditing)
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Process
Plan to Predict

26. Does Data Analysis Improve
Your Audit Plans
2015 AuditNet® Audit Data Analysis Software Survey
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PredPol – Even the Police Use It
http://www.predpol.com/
Santa Cruz experienced:
 27% decrease in burglary
 11% decrease in robbery
 56% increase in arrests
51
Predictive Modeling To Improve Police Detection
http://bit.ly/1VyQPQY
“PredPol does not replace the experience and
intuition of our great officers, but is rather an
invaluable added tool that allows our police force to
use their patrol time more efficiently and helps stop
crime before it happens.” Chief Mark Yokoyama

27. PredPol Simple
Big Data Approach
Working Smarter Using Algorithms Tested By
Earthquake Software
52
Type
Time
Place
Crime strikes in the same dimensions
People are needed to validate activity
Focuses on a box of predicted crime
Uses three prediction variables
53
Cost Recovery Analysis
Trial Balance Analysis
Expenses for Analysis
 Primarily SG&A
 Cost of goods sold (i.e., freight)
Data Files
 General Ledger (trial balance)
 A/P Invoice Detail Distribution
 Purchase Orders
 Pricing List

28. 54
A/P and G/L Review Factors
 Accounts that are sole sourced
 Accounts that have too many vendors
 Categories that map to the “recovery list”
 Assess to industry cost category
benchmarks
 Top 100 vendors
 Trend analysis over time
 Trend analysis by vendor (scatter graph)
Cost Recovery Analysis
Trial Balance Analysis
Process - Take
My Manual Audit
Make data analytics a priority on every audit
 Data exists for every process
 “Toto, we are not in the 90s anymore”
 Brainstorm the use data analytics in the audit planning process
Replace manual tests with automated ones
 You need to replace to provide the time for analytics
 Focus on I T testing – user and segregation of duties testing
 Focus on reconciliations with dashboards and notifications (6 Tips for
Reconciliations – Journal of Accountancy – Feb 2016)
Reduce false positives (and negatives) in the final reports
 Prioritize the likelihood of findings / Use mathematical scoring
 Utilize data visualization to audit with pictures
 Involve the business units to improve / “adopt the analytics”
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29. 56
Automated Person Power
There are 159 million, million, million possible
Enigma settings. All we had to do was try each
one. But if we had 10 men checking one setting a
minute for 24 hours every day and seven days
every week, how many days do you think it would
take to check each of the settings? Well, it’s not
days; it’s years. It’s 20 million years. To stop an
incoming attack, we would have to check 20
million years’ worth of settings in 20 minutes
- The Imitation Game movie
BBC Reith Lecture Series
Why Doctors Fail
http://www.bbc.co.uk/programmes/b04sv1s5
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•Use a checklist so you don’t miss a step
2M infections in the US alone due to not following a checklist

30. Would You Use Data Analytics More
If You Knew the Audit Steps?
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2015 AuditNet® Audit Data Analysis Software Survey
The Standard Setters Are
Chiming In on Audit Steps
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31. Best Place to Get Audit Steps
With 2,500 Audit Templates
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http://www.auditnet.org/subscription_plans
Would You Use Data Analytics More
If There Was a Script Library
2015 AuditNet® Audit Data Analysis Software Survey
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32. Scripting the Tests
The Road to Continuous
Prototype the test - http://bit.ly/20LP3jX
 Build something in Excel (or other simple tools) – Make sure it works
 Then build something more repetitive using script coding tools
Understand the first year will be rough
 30 unit samples will be replaced by 100% testing
 This is the year of investment “clean up”
 2nd and 3rd year tests should be a blank report
Move to a continuous audit and monitoring model
 Focus on key risks to start with “friendly departments”
 Have a results manager organize the remediation and follow up
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Polling Question #4
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33. Best Practices
People, Process and Technology
Technology Tools (& S.A.A.S)
Technology Tools
and Software as a Service
Use low-cost solutions to start / Train the “Team of Rangers”
 Excel is a great starter tool / Provides a common language
 Realize you will need a small set of tools to manage your data normalization
and scripting (which is beyond Excel)
Consider a results-focused approach to start
 Consider focused consulting or cost recovery firms to learn from their past
 Identify a provider willing to provide the “toolkit” vs. just the “reports”
Moved to advanced analytics and collaboration over time
 Communicate with images and specific drill down capability
 Consider integration with results management tools
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34. What Is Your Main Analytic Tool?
All Inexpensive / Simple Products
Page 66
2015 AuditNet® Audit Data Analysis Software Survey
Capitalize on Other People’s
Experience & Technology
No upfront cost
 Cost recovery firms have an interest in every $ they find
 Then, learn from their technology
http://www.auditsoftwarevideos.com/our-services/save-costs
Minimize upfront cost and risk of failure
 Report service option provides a proof of concept within hours
http://www.auditsoftwarevideos.com/our-services/report-services
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35. The Old Way Was To Invest in
Software & Training Before Results
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http://bit.ly/1PdGCc1
Business Process Diagnostic Reporting: Data
analytic service applied to core business cycles
focusing on results: improving operations,
identifying cash savings and detecting anomalies
such as errors, fraud and inefficiencies.
Advanced Analytic Tools
Gartner 2015 Magic Quadrant Vendors
Page 69
http://gtnr.it/1Pbl8MX
SAS
IBM
KNMINE
Rapid Miner
Alteryx
“Gartner defines advanced
analytics as the analysis of
all kinds of data using
sophisticated quantitative
methods (for example,
statistics, descriptive and
predictive data mining,
simulation and optimization)
to produce insights that
traditional approaches to
business intelligence (BI) —
such as query and reporting
— are unlikely to discover”

36. Best Practices
People, Process and Technology
Technology (Data Considerations)
Technology
Data Considerations
Automate the data import and normalization process
 Move to a tool that can manage disparate data in one software
 Automate the data extraction, file cleansing, and data validation
 Consider all types of data – not just ERP data
Manage the execution and store in a server
 Utilize server technology for secure storage and scalability
 Centralized data and backups
 Audit knowledge is saved in one place
 Manage user security consistently and in a controlled manner
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37. Overcoming Data Challenges
Normalizing data is 80% of the time (in the beginning)
 “By most accounts, 80 percent of the development effort in a big data project
goes into data integration and only 20 percent goes toward data analysis.” —
Intel Corporation
 Once its built, it normally takes very little to maintain normalization
Data is in every process. Thus, we should scan/mine it
 It may not be ERP / It may be in your “Big Data”
 90% of data is text
Internal Audit is the best partner to get the data
 They are independent / Not proving the data is a scope limitation
 Some best practice audit depts. have data warehouses larger than I.T.
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Automated Data Normalization
Store procedures for data cleanup once
Create a normalized set of data fields named by YOU
Ensure data quality tests are run prior to analysis
Automate these routine tasks to increase analyst’s time
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38. Data Types
74
Structured Data
 Accounting records
 Sub ledger details
 Monthly performance
measures
Unstructured Data
 Documents (Excel, PDF,
Word)
 Emails
 Network Logs
External Data
 Geomap Service
 OFAC, SAM.Gov Watch Lists
 IRS Tax ID Match
Polling Question #5
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39. What Accounting System
Do You Use
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2015 AuditNet® Audit Data Analysis Software Survey
BIG DATA Already Available
Large Majority Is Text
Page 77
2007 Buyers Guide to
Audit, Anti-Fraud and
Assurance Software

40. Sample Data Validation
Accounts Payable Other Questions
Make a checklist (to make sure you follow it):
Statistical analysis should also be completed as part of the validation
analysis
Agreement to batch totals, sample data and hardcopies is critical
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Stratify the Values / Volumes
Benford’s Law of the Digit Patters
Textual Analytics
• Letter Analytics
• Word Summary
• Key Words / Sentiment Analysis
Rule Calculator Tools
 Regression Analysis
 Predictive Miners
Automate Full Data Scan / Mining
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41. 1) Lanza Approach to Letter Analytics “LALA”: http://bit.ly/1kZlb4h
2) Practical Applications of LALA: http://bit.ly/1PF3GBY
A Benford’s Law
For Letters and Words?
Page 80
Protiviti Reports on Internal Auditing
2006 to 2012 vs. 2013 to 2015 - LALA
Page 81

42. Protiviti Reports on Internal Auditing
2006 to 2012 vs. 2013 to 2015 – Key Words
Page 82
Polling Question #6
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43. Audit Technology Training
AuditNet® Survey on the Effectiveness of Audit
Technology Training
Page 84
Please take the survey now!
http://bit.ly/1Prn0is
Join us for our next free Webinar
on Moving Periodic Analytics to
Continuous Tests (June 8, 2016)
http://bit.ly/1L5L491
Business Process Diagnostics
Report Service
http://www.auditsoftwarevideos.com/our-services/report-services
Minimize Upfront Cost & Limit Project Risk
 No software or training costs to start
 Fixed price set for data loading and report run
 Data requests already built for SAP, Oracle, & JDE
…and many other systems (we help on the extract regardless)
Obtain Fast Results
 Reports are run within hours of data delivery
 Focus on process savings and improvements
Gain From Our Two Decade Experience
 Benchmark to our “report toolkits” – now with “LALA”
 Visualize the results in pre-built dashboards
 Benefit from our knowledge in selecting final samples
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44. Course Calendar and Approach
See www.auditnet.org
Offering 11 Unique Training Courses / 22 CPE
Get More For Your Training Dollar
 $14 per CPE on an individual subscription
 Much lower rates for groups – BEST WAY TO TRAIN
Video playback of past / missed courses
 Don’t forget the data files and templates to get you started
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Learn More: Go to AuditNet® or http://bit.ly/1SkA6Ep
In the Queue – 2016
First Semester of Courses
 February 24 - Best Practices in Visualizing and
Dashboarding Data
 March 23 - Enhance Audit and Fraud Sampling Productivity
 April 20 - Top 10 Analytic Tests to Find PCard / Travel Cost
Frauds and Misuse
 May 11 - Continuous Analytic Risk Management
 June 8 - Moving Periodic Analytics to Continuous Tests *
 June 29 - Top 10 Analytic Tests to Find Procure to Pay
Frauds and Errors
 July 13 - Maximize Everything With Excel Pivot Tables
 August 17 - Utilize Big Data Analytics Now
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Learn More: Go to AuditNet® or http://bit.ly/1SkA6Ep

45. AuditSoftwareVideos.com
70+ Hours of videos accessible for FREE subscriptions
Repeat video and text instruction as much as you need
Sample files, scripts, and macros in ACL™, Excel™, etc.
available for purchase
Bite-size video format (3 to 15 minutes)
>> Professionally
produced videos by
instructors with over 20
years experience in
ACL™, Excel™ , and
more
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AuditNet® LLC
• AuditNet®, the global resource for auditors, is available on the
Web, iPad, iPhone, Windows and Android devices and features:
• Over 2,500 Reusable Templates, Audit Programs, Checklists
• Training Webinars focusing on fraud, audit software, IT audit,
and internal audit
• Audit guides, manuals, books on using audit technology
• LinkedIn Networking Groups
• Monthly Newsletters with Expert Guest Columnists
• Surveys on timely topics and best practices for internal auditors
• NOT A SUBSCRIBER? Send an email to info@auditnet.org with
the subject “Must Have” and we will give you $25 off a Premium
Individual Subscription (offer to new subscribers only)
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46. Questions?
Any Questions?
Don’t be Shy!
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Thank You!
Jim Kaplan
AuditNet® LLC
1-800-385-1625
Email:info@auditnet.org
www.auditnet.org
Richard B. Lanza, CPA, CFE, CGMA
Cash Recovery Partners, LLC
Phone: 973-729-3944
Email: rich@richlanza.com
www.AuditSoftwarePros.com
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