20160210 webinarslides
TRANSCRIPT
Turning Analytics From
“Nice to Have” to “Must Have”
February 10, 2016
AuditNet and AuditSoftwareVideos.com
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Brought to you by AuditNet® and
AuditSoftwareVideos.com working together to provide:
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Resource links
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Page 1
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
Page 2
Housekeeping and Disclaimers
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Page 3
Additional Disclaimers
While AuditNet® makes every effort to ensure information is accurate and complete, AuditNet® makes no representations, guarantees, or warranties as to the accuracy or completeness of the information provided via this presentation. AuditNet® specifically disclaims all liability for any claims or damages that may result from the information contained in this presentation, including any websites maintained by third parties and linked to the AuditNet® website
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Page 4
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
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
Survey Update
Page 8
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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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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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 AnalyticsAuditNet® Survey Results
Page 13
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
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
Page 15
http://www.protiviti.com/IAsurvey
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
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/
Why Do You Not Include
Steps for Data Analytics
2015 AuditNet® Audit Data Analysis Software Survey
Page 22
Why Are They Not Buying
Data Analytics - 2012
Page 23
2012 AuditNet® Audit Data Analysis Software Survey
Why Have You Not Purchased
Data Analytics - 2015
Page 24
2015 AuditNet® Audit Data Analysis Software Survey
Reasons For Not Using
Data Analytic Software
2015 AuditNet® Audit Data Analysis Software Survey
Page 25
Best PracticesPeople, 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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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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PeopleCollaborate With the “Purse Strings”
Analytic Benefit in Sum:
Doing More With Less
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2015 AuditNet® Audit Data Analysis Software Survey
Benefits Per the I.I.AnalyticsImproper Payment Analytic Benefits
Page 31
Polling Question #2
Page 32
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
Managing Fraud in the
Digital Era – Deloitte Survey
3,600 responses
Page 34
http://bit.ly/20fcVKA
Audit Standards Are Moving
Towards More Analytics
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http://bit.ly/1PXdNhiRADAR Initiative
Rutgers and AICPA Unveil
Data Analytics Research
Initiative (Dec 16, 2015)
http://bit.ly/1T3Tcyy
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
AuditNet® Who’s Training
Your Auditor Survey 2015
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KPMG 2015 View From the TopApplying Technology Seen As Key Skill
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http://bit.ly/1nT5o8T
The Effect of a Champion
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Enhancing Audit Technology Effectiveness:
Teammate’s 2015 Global Technology Surveyhttp://bit.ly/1QiN5jG
The Effect of a Champion
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Enhancing Audit Technology Effectiveness:
Teammate’s 2015 Global Technology Surveyhttp://bit.ly/1QiN5jG
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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What Training Are You Most
Likely To Purchase
Page 44
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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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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Best PracticesPeople, 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
Does Data Analysis Improve
Your Audit Plans
2015 AuditNet® Audit Data Analysis Software Survey
Page 50
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
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
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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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
Page 57
•Use a checklist so you don’t miss a step
2M infections in the US alone due to not following a checklist
Would You Use Data Analytics More
If You Knew the Audit Steps?
Page 58
2015 AuditNet® Audit Data Analysis Software Survey
The Standard Setters Are
Chiming In on Audit Steps
Page 59
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
Page 61
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
Page 63
Best PracticesPeople, 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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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 & TechnologyNo 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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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”
Best PracticesPeople, 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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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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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
Page 75
What Accounting System
Do You Use
Page 76
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
Sample Data Validation
Accounts Payable Other QuestionsMake 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
Page 78
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
Page 79
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
Protiviti Reports on Internal Auditing 2006 to 2012 vs. 2013 to 2015 – Key Words
Page 82
Polling Question #6
Page 83
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 Servicehttp://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
Page 85
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
Page 86
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
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
Page 88
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Page 89
Questions?
Any Questions?
Don’t be Shy!
Page 90
Thank You!
Jim Kaplan
AuditNet® LLC
1-800-385-1625
Email:[email protected]
www.auditnet.org
Richard B. Lanza, CPA, CFE, CGMA
Cash Recovery Partners, LLC
Phone: 973-729-3944
Email: [email protected]
www.AuditSoftwarePros.com
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