SlideShare uma empresa Scribd logo
1 de 29
Baixar para ler offline
Building Simple Continuous
Reviews in ACLTM
July 2, 2014
AuditNet and AuditSoftwareVideos.com
Collaboration
Brought to you by AuditSoftwareVideos.com
and AuditNet®, working together to provide:
 Practical audit software training
 Resource links
 Independent analysis
 Tools to improve audit software usage
Today focused on providing practical data
analysis training
Page 1
About Jim Kaplan, CIA, CFE
 President and Founder of AuditNet®,
the global resource for auditors (now
available on Apple and Android
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
About AuditNet® LLC
• AuditNet®, the global resource for auditors, is available on the
Web, iPad, iPhone and Android devices and features:
• Over 2,000 Reusable Templates, Audit Programs,
Questionnaires, and Control Matrices
• Training without Travel Webinars focusing on fraud, audit
software (ACL, IDEA, Excel), IT audit, and internal audit
• Audit guides, manuals, and books on audit basics and using
audit technology
• LinkedIn Networking Groups
• Monthly Newsletters with Expert Guest Columnists
• Book Reviews
• Surveys on timely topics for internal auditors
Introductions
Page 3
Webinar Housekeeping
Page 4
This webinar and its material are the 
property of  Cash Recovery Partners LLC. 
Unauthorized usage or recording of this 
webinar or any of its material is strictly 
forbidden. We are recording the webinar 
and you will be provided with a link to that 
recording as detailed below. Downloading or 
otherwise duplicating the webinar recording 
is expressly prohibited.
Webinar recording link will be sent via email 
within 5‐7 business days.
NASBA rules require us to ask polling 
questions during the Webinar and CPE 
certificates will be sent via email to those 
who answer ALL the polling questions
The CPE certificates and link to the recording 
will be sent to the email address you 
registered with in GTW. We are not 
responsible for delivery problems due to 
spam filters, attachment restrictions or other 
controls in place for your email client.
Submit questions via the chat box on your 
screen and we will answer them either 
during or at the conclusion.
After the Webinar is over you will have an 
opportunity to provide feedback. Please 
complete the feedback questionnaire to help 
us continuously improve our Webinars
If GTW stops working you may need to close 
and restart. You can always dial in and listen 
and follow along with the handout.
Disclaimers
5
The views expressed by the presenters do not necessarily represent the 
views, positions, or opinions of AuditNet® or the presenters’ respective 
organizations. These materials, and the oral presentation accompanying them, 
are for educational purposes only and do not constitute accounting or legal 
advice or create an accountant‐client relationship. 
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
Any mention of commercial products is for information only; it does not imply 
recommendation or endorsement by AuditNet®
Richard B. Lanza, CPA, CFE, CGMA
• Over two decades of ACL and Excel software usage
• 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
• 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
Why it is important to development continuous monitoring applications in key
areas of your business to reduce audit time while increase audit quality.
Integrating analytics in all areas of the audit process from audit planning to
follow up.
Outline an effective data request process to ensure complete and accurate
extractions of data every time.
Discuss auto-normalization techniques of data to speed the reporting
process.
See how analytics can maximize the annual audit plan and better ensure
focus is placed on organizational risk.
Understand how to develop Excel / CSV export routines that auto-export
data from ACL at the end of processing.
Pros and cons of specific software tools when implementing data analytics
and continuous reviews.
Understand some common approaches to overcoming obstacles to planning
data analytics based on case studies from companies and survey attendees
themselves.
Page 7
Continuous Audit / Continuous Monitoring -
Why It’s Important and Audit Software
Integration
Page 8
Analytic Command Center
“Auditor in a Can”
Page 9
Top Audit Software
Implementation Practices
Page 10
Audit Analytic Best Practices
Automate the data import and normalization process
 Develop Excel macros to improve client provided data quickly
 Automate the data extraction, file cleansing, and data validation
 Everyone is different with their data – so normalize
Reduce false positives in the final reports
 Prioritize the likelihood of findings
 Use mathematical scoring
Document, save, and possibly videotape your work plan
 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
Page 11
Think Prevention vs. Future Detection
 Identify issues earlier in their lifecycle
 Build a aura of deterrence within procure to pay
Build a Continuous Review Process
 Technology
 Minimal staff time / external assistance
Keep Improving the Model
 Model on identified frauds
 Remove false positives to isolate interesting events
Best Practice Approach on Fraud
- Find It Before It Finds You
Data Marts and Server Benefits
Centralized data and backups
Audit knowledge is saved in one place
 Remove the “Learn and Leave” dilemma facing companies
Security and user management
Better data than the business units
Faster processing for large data sets
Page 13
Data Marts and Server Reality
Most audit areas don’t require it
 Data is only needed once a year or more for some audits
 Data extraction routines can be saved by IT and audit
 Server speed is not needed for majority of audits
Sometimes difficult to explain the ROI to I.T. if
smaller “example” audits are not completed first
 High initial cost of a sledgehammer for hanging a picture
 May turn off management to all data analytics
Page 14
Value of ACL Scripting
Useful for routine tasks
 Can be for periodic audit steps
 Also can assist in importing similar data
• For example, OPEN FILE 1, EXTRACT RECORD,
OPEN FILE 2, EXTRACT RECORD, etc.
Build the quality in once
 “Set it and forget it”
Learn how ACL works behind the scenes
 Value of learning ACL for DOS
Page 15
Making it Continuous
Does not make sense for every audit area
 Makes sense for general ledger in all companies
Find willing business units who want to self-review
Start small, roll out audit applications, and have a
management plan that does NOT include audit except
for business requirement changes
Audit can have access and should periodically “kick
the tires”
Page 16
Polling Question 1
Polling Question Displayed during the Webinar
Effective Data Request Process and
Auto-Normalization
Page 18
20
There’s Gold In That Data
Taken from the 2007 Buyer’s Guide to Audit, Anti-Fraud, and Assurance Software
Data Request is Sent
Prior…..11/14/12 Webinar
Page 2111/14/12
Top 10 Data Import Mistakes
1. Not knowing what is possible within the tool to
import and normalize data
2. Asking for data before understanding reporting
needs
3. Not including knowledgeable system
professionals to assist in or review the extract
4. Forgetting to run statistics on amount/date fields
5. Not summarizing text code fields (including
invoice numbers to find E+ issues)
Page 22
Top 10 Data Import Mistakes
6. Lack of hardcopy information for review in
relation to imported data
7. Not validating field totals to batch totals
8. Using report files vs. fixed length system files
9. Getting data in Excel vs. a more raw format
10.Lack of understanding of the various data
types
Page 23
Clear Data Request
Accounts Payable Data Request.doc
Data Import Module
From Excel
Import Script Code.xlsx
Polling Question 2
Polling Question Displayed during the Webinar
Maximize the Audit Plan and Building
an Organizational Viewpoint
Page 27
Data Analytics in the Audit Plan
AuditNet Nov. 14, 2012
Page 28
Process to Report Mapping
Page 29
Mapping Data and Objectives
30
Query Viewpoints
Query T&E Reports
 Unmatched query of cardholders to an active employee
masterfile
 Cards used in multiple states (more than 2) in the same day
 Cards processing in multiple currencies (more than 2) in the
same day
 Identify cards that have not had activity in the last six
months
 Cardholders that have more than one card
 Extract any cash back credits processed through the card
 Extract declined card transactions and determine if they are
frequent for certain cards
Data Mining T&E
- It’s The Trends…Right?
 Trend categories (meals, hotel,
airfare, other)
 Trend by person and title
 Trend departments
 Trend vendors
 Trend in the type of receipts
 Trend under limits (company policy)
33
Transactional Score
Benefits
The best sample items (to meet your attributes) are
selected based on the severity given to each attribute.
In other words, errors, as you define them, can be
mathematically calculated.
Instead of selecting samples from reports,
transactions that meet multiple report attributes are
selected (kill more birds with one stone). Therefore a
50 unit sample can efficiently audit:
 38 duplicate payments
 22 round invoices
 18 in sequence invoices
….and they are the best given they are
mathematically the most “severe”.
34
Pick Items Rare in
Several Ways
 Don’t choose just ANY weekend invoice
 Choose an UNUSUAL weekend invoice
 Large weekend invoices are the rarest kind
(i.e., only 2 percent of large invoices)
 The odds of finding a recoverable error
go up AND since the invoice is large, the
value recovered goes up too!
Page 35
Summaries on
Various Perspectives
36
Summarize by 
dimensions (and sub 
dimension) to pinpoint 
within the cube the 
crossover between the top 
scored location, time, and 
place of fraud based on 
the combined judgmental 
and statistical score
ALL TIES BACK TO THE 
ORIGINAL ANALYTIC 
APPROACH 
Combining the Scores
ACL Code
Page 37
Obtain data at least once a year for use in the planning exercise
 Basic data may all that is needed from key systems and locations
Run a series of tests across each location’s data
 Consider focusing on general ledger given its broad exposure to the
business
 Consider using risk scoring in a consistent fashion across the
company
Prototype a few local audit toolkits each year
 Most cost effective way to develop and ACL is cheaper than almost
any other development platform for finance/audit professionals
 Identify “low hanging fruit” for cost savings and improvements.
Considerations for Overall Audit
Planning
Normalize and test general ledger data consistently on all locations
 Most internal audit shops obtain general ledger data quarterly for their external
auditors anyway – no excuse
G/L data is the lifeblood of the organization
 Planning will improve as focus can be placed on key accounts, entries,
timeframes, enterers, etc. and will guide future data extracts
 Most systems post in detail (even down to inventory movements) which can
allow detailed review of subledgers….using G/L data
Identify savings, better ideas,…and fraud
 Fraud has been the focus and we should still test for it
 Savings in cost recoveries can now become more of a focus
 Better ideas leveraged through technology
• Efficiency (to help a faster close)
• Revenue and business enhancement
Key Mantras of G/L
Analytic Auditing
Journal Entry Surveillance System
(“J.E.S.S”) Overall Review Objectives
 Model “normal” account behavior
 Identify unusual changes in activity
• Over time
• By account sequence
• In amount
• In value (I/S, B/S, Net effect)
• In enterers behavior or words entered
• Key concern accounts
 Detect unusual journal entries based on past risk
factors and expected schemes
 Monitor unauthorized enterers
 Reconcile GL activity to trial balance figures
(completeness) and financial statements
Profit Opportunities
Outweigh Analytic Costs
Accounts Payable
Audit Fee Benchmarking
Advertising Agency
Document Fleet
Freight
Health Benefits
Lease
Media
Order to Cash
Proactive Fraud
Detection
Project Fraud
Real Estate Depreciation
Sales & Use Tax / VAT /
R&D tax
Strategic Sourcing
Telecom
Travel and Entertainment
Utilities
Cost Recovery Opportunity Tests
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)
Polling Question 3
Polling Question Displayed during the Webinar
Auto-Workpaper Export Routines
Page 44
Polling Question 4
Polling Question Displayed during the Webinar
Pros and Cons of Tools When Implementing
Continuous Analytics & Overcoming Obstacles
Page 46
Most Popular
Audit Software Products
 ACL / AX
 ActiveData for Excel
 Arbutus Software
 IDEA
 Microsoft Access
 Microsoft Excel
 TopCaats
Tool Selection
Considerations
 Core processing features
 Advanced features
 Advanced data import
 Scripting
 Ease of use
 Training / Customer Support / User Groups
 Years in business / Company sustainability
 Workpaper system integration
Proposal Decision Analysis
Page 49
http://www.caseware.com/products/idea#_res
earch_reports
Use data analytics on almost every audit
 Brainstorm the use data analytics in the audit planning process
 Drop an audit and instead plan 10% for “data fun” across all audits /
Understand the process and benchmark it for future reviews
 Make it part of annual objectives to use the product
Find cost savings to pay for the usage & Track it &
Promote it
 Risk assess the general ledger – stratify by month by account J/E risk
scores
 Search for cost recovery opportunities
 Sell the need for increased software and education
• Also sell the cost/benefit of ACL to other development platforms
(especially for prototyping).
Overcoming Obstacles
Page 50
Plan on education and make it routine
 Meet every three weeks on analytics – no matter what
 Build a team of champions to coach the team
 Get everyone else involved…..even if it is with Excel to start
 Make it part of annual objectives to learn the product
Establish data channels to all (material) parts of the
organization
 Have more freedom to extract data as needed
 Obtain quarterly feeds of data
 Obtain data from all locations once a year for audit planning
Overcoming Obstacles
Page 51
Polling Question #5
Page 52
Polling Question Displayed during the Webinar
Questions?
Any Questions?
Don’t be Shy!
Page 53
In the Queue
Sampling in Excel and Other Simple Add-In
Products – Aug 13
ACL Basic/Intermediate Scripting – Sept
10
Financial Statement Analysis to Journal
Reviews With Excel Tools – Oct 7
AuditSoftwareVideos.com
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 10 minutes)
Page 55
>> Professionally
produced videos by
instructors with over 20
years experience in
ACL™, Excel™ , and
more
Thank You!
Jim Kaplan
AuditNet® LLC
1-800-385-1625
Email:info@auditnet.org
http://www.auditnet.org
Richard B. Lanza, CPA, CFE, CGMA
Cash Recovery Partners, LLC
Phone: 973-729-3944
Cell: 201-650-4150
Fax: 973-270-2428
Email: rich@richlanza.com
http://www.richlanza.com
Page 56

Mais conteúdo relacionado

Mais procurados

Mais procurados (20)

Enterprise Security: Tableau vs. Power BI
Enterprise Security: Tableau vs. Power BIEnterprise Security: Tableau vs. Power BI
Enterprise Security: Tableau vs. Power BI
 
SPS Dubai 2017 - PowerApps & Microsoft Flow: Advanced scenarios
SPS Dubai 2017 - PowerApps & Microsoft Flow: Advanced scenariosSPS Dubai 2017 - PowerApps & Microsoft Flow: Advanced scenarios
SPS Dubai 2017 - PowerApps & Microsoft Flow: Advanced scenarios
 
Understanding DataOps and Its Impact on Application Quality
Understanding DataOps and Its Impact on Application QualityUnderstanding DataOps and Its Impact on Application Quality
Understanding DataOps and Its Impact on Application Quality
 
Office 365 con PowerApps y Flow
Office 365 con PowerApps y FlowOffice 365 con PowerApps y Flow
Office 365 con PowerApps y Flow
 
Washington DC DataOps Meetup -- Nov 2019
Washington DC DataOps Meetup   -- Nov 2019Washington DC DataOps Meetup   -- Nov 2019
Washington DC DataOps Meetup -- Nov 2019
 
Governance for power bi Toronto SPS Saturday
Governance for power bi Toronto SPS Saturday Governance for power bi Toronto SPS Saturday
Governance for power bi Toronto SPS Saturday
 
Top 5 Type of Analytics
Top 5 Type of AnalyticsTop 5 Type of Analytics
Top 5 Type of Analytics
 
Choosing the Right Business Intelligence Tools for Your Data and Architectura...
Choosing the Right Business Intelligence Tools for Your Data and Architectura...Choosing the Right Business Intelligence Tools for Your Data and Architectura...
Choosing the Right Business Intelligence Tools for Your Data and Architectura...
 
IBM Solutions Connect 2013 - Enterprise Content Management
IBM Solutions Connect 2013 - Enterprise Content ManagementIBM Solutions Connect 2013 - Enterprise Content Management
IBM Solutions Connect 2013 - Enterprise Content Management
 
Role of Tableau on the Data Discovery Market
Role of Tableau on the Data Discovery MarketRole of Tableau on the Data Discovery Market
Role of Tableau on the Data Discovery Market
 
Large Data Volume Salesforce experiences
Large Data Volume Salesforce experiencesLarge Data Volume Salesforce experiences
Large Data Volume Salesforce experiences
 
Microservices And Fast Data: Industry And Architecture Trends [with 451 Resea...
Microservices And Fast Data: Industry And Architecture Trends [with 451 Resea...Microservices And Fast Data: Industry And Architecture Trends [with 451 Resea...
Microservices And Fast Data: Industry And Architecture Trends [with 451 Resea...
 
xRM - as an Evolution of CRM
xRM - as an Evolution of CRMxRM - as an Evolution of CRM
xRM - as an Evolution of CRM
 
Data Warehouse Methodology
Data Warehouse MethodologyData Warehouse Methodology
Data Warehouse Methodology
 
Social shopping with semantic power
Social shopping with semantic powerSocial shopping with semantic power
Social shopping with semantic power
 
Mbas governance for power bi
Mbas governance for power biMbas governance for power bi
Mbas governance for power bi
 
Legacy ECM Migration
Legacy ECM MigrationLegacy ECM Migration
Legacy ECM Migration
 
Caseware refresher slides
Caseware refresher slidesCaseware refresher slides
Caseware refresher slides
 
Understanding power platform licensing feb 2020
Understanding power platform licensing   feb 2020Understanding power platform licensing   feb 2020
Understanding power platform licensing feb 2020
 
Lifecyce Analytics TFS BI webinar
Lifecyce Analytics TFS BI webinarLifecyce Analytics TFS BI webinar
Lifecyce Analytics TFS BI webinar
 

Semelhante a Building Simple Continuous Reviews in ACL

COMPUTERIZED ACCOUNTING AND AUDITING TECHNIQUES (CAAT)
COMPUTERIZED ACCOUNTING AND AUDITING TECHNIQUES (CAAT)COMPUTERIZED ACCOUNTING AND AUDITING TECHNIQUES (CAAT)
COMPUTERIZED ACCOUNTING AND AUDITING TECHNIQUES (CAAT)
Rikesh Chaurasia
 
20150311 auditnet ap_procure_excel_rlv2
20150311 auditnet ap_procure_excel_rlv220150311 auditnet ap_procure_excel_rlv2
20150311 auditnet ap_procure_excel_rlv2
Jim Kaplan CIA CFE
 
Using Microsoft Excel in Your Next Internal and External Audit - Learning The...
Using Microsoft Excel in Your Next Internal and External Audit - Learning The...Using Microsoft Excel in Your Next Internal and External Audit - Learning The...
Using Microsoft Excel in Your Next Internal and External Audit - Learning The...
Jim Kaplan CIA CFE
 

Semelhante a Building Simple Continuous Reviews in ACL (20)

Best Practices: Planning Data Analytic into Your Audits
Best Practices: Planning Data Analytic into Your AuditsBest Practices: Planning Data Analytic into Your Audits
Best Practices: Planning Data Analytic into Your Audits
 
Data Analytics 3 Analytics Techniques
Data Analytics 3 Analytics Techniques Data Analytics 3 Analytics Techniques
Data Analytics 3 Analytics Techniques
 
Data analytics software selection and implementation
Data analytics software selection and implementationData analytics software selection and implementation
Data analytics software selection and implementation
 
Getting Started Using ACL in Your Next Audit
Getting Started Using ACL in Your Next AuditGetting Started Using ACL in Your Next Audit
Getting Started Using ACL in Your Next Audit
 
Using MS Excel In Your Next Audit - Top Basic & Intermediate Techniques
Using MS Excel In Your Next Audit - Top Basic & Intermediate Techniques Using MS Excel In Your Next Audit - Top Basic & Intermediate Techniques
Using MS Excel In Your Next Audit - Top Basic & Intermediate Techniques
 
COMPUTERIZED ACCOUNTING AND AUDITING TECHNIQUES (CAAT)
COMPUTERIZED ACCOUNTING AND AUDITING TECHNIQUES (CAAT)COMPUTERIZED ACCOUNTING AND AUDITING TECHNIQUES (CAAT)
COMPUTERIZED ACCOUNTING AND AUDITING TECHNIQUES (CAAT)
 
20150311 auditnet ap_procure_excel_rlv2
20150311 auditnet ap_procure_excel_rlv220150311 auditnet ap_procure_excel_rlv2
20150311 auditnet ap_procure_excel_rlv2
 
When Data Visualizations and Data Imports Just Don’t Work
When Data Visualizations and Data Imports Just Don’t WorkWhen Data Visualizations and Data Imports Just Don’t Work
When Data Visualizations and Data Imports Just Don’t Work
 
Building continuous auditing capabilities
Building continuous auditing capabilitiesBuilding continuous auditing capabilities
Building continuous auditing capabilities
 
Kansas Elsas Top-Cycle
Kansas Elsas Top-CycleKansas Elsas Top-Cycle
Kansas Elsas Top-Cycle
 
Internal Audit Considerations in Creating an RPA Program
Internal Audit Considerations in Creating an RPA ProgramInternal Audit Considerations in Creating an RPA Program
Internal Audit Considerations in Creating an RPA Program
 
Using Microsoft Excel in Your Next Internal and External Audit - Learning The...
Using Microsoft Excel in Your Next Internal and External Audit - Learning The...Using Microsoft Excel in Your Next Internal and External Audit - Learning The...
Using Microsoft Excel in Your Next Internal and External Audit - Learning The...
 
How to data mine your print reports
How to data mine your print reports How to data mine your print reports
How to data mine your print reports
 
Are You a Smart CAAT or a Copy CAAT
Are You a Smart CAAT or a Copy CAATAre You a Smart CAAT or a Copy CAAT
Are You a Smart CAAT or a Copy CAAT
 
Intelligent Process Management
Intelligent Process ManagementIntelligent Process Management
Intelligent Process Management
 
Learn to Effectively Script in ACL – The Keys To Getting Started and Fully Au...
Learn to Effectively Script in ACL – The Keys To Getting Started and Fully Au...Learn to Effectively Script in ACL – The Keys To Getting Started and Fully Au...
Learn to Effectively Script in ACL – The Keys To Getting Started and Fully Au...
 
Get Smart About Technical Debt
Get Smart About Technical DebtGet Smart About Technical Debt
Get Smart About Technical Debt
 
2011 Web Analytics Seminar
2011 Web Analytics Seminar2011 Web Analytics Seminar
2011 Web Analytics Seminar
 
Future audit analytics
Future audit analyticsFuture audit analytics
Future audit analytics
 
MCIF- Per Kroll
MCIF-  Per KrollMCIF-  Per Kroll
MCIF- Per Kroll
 

Mais de Jim Kaplan CIA CFE

Mais de Jim Kaplan CIA CFE (20)

Enhanced fraud detection with data analytics
Enhanced fraud detection with data analyticsEnhanced fraud detection with data analytics
Enhanced fraud detection with data analytics
 
mplementing and Auditing GDPR Series (10 of 10)
mplementing and Auditing GDPR Series (10 of 10) mplementing and Auditing GDPR Series (10 of 10)
mplementing and Auditing GDPR Series (10 of 10)
 
Touchstone Research for Internal Audit 2020 – A Look at the Now and Tomorrow ...
Touchstone Research for Internal Audit 2020 – A Look at the Now and Tomorrow ...Touchstone Research for Internal Audit 2020 – A Look at the Now and Tomorrow ...
Touchstone Research for Internal Audit 2020 – A Look at the Now and Tomorrow ...
 
Implementing and Auditing GDPR Series (9 of 10)
Implementing and Auditing GDPR Series (9 of 10) Implementing and Auditing GDPR Series (9 of 10)
Implementing and Auditing GDPR Series (9 of 10)
 
How to detect fraud like a pro detective slides
How to detect fraud like a pro detective slides How to detect fraud like a pro detective slides
How to detect fraud like a pro detective slides
 
Implementing and Auditing GDPR Series (8 of 10)
Implementing and Auditing GDPR Series (8 of 10) Implementing and Auditing GDPR Series (8 of 10)
Implementing and Auditing GDPR Series (8 of 10)
 
How to get auditors performing basic analytics using excel
How to get auditors performing basic analytics using excel How to get auditors performing basic analytics using excel
How to get auditors performing basic analytics using excel
 
Tracking down outliers
Tracking down outliersTracking down outliers
Tracking down outliers
 
CyberSecurity Update Slides
CyberSecurity Update SlidesCyberSecurity Update Slides
CyberSecurity Update Slides
 
Implementing and Auditing General Data Protection Regulation
Implementing and Auditing General Data Protection RegulationImplementing and Auditing General Data Protection Regulation
Implementing and Auditing General Data Protection Regulation
 
When is a Duplicate not a Duplicate? Detecting Errors and Fraud
When is a Duplicate not a Duplicate? Detecting Errors and FraudWhen is a Duplicate not a Duplicate? Detecting Errors and Fraud
When is a Duplicate not a Duplicate? Detecting Errors and Fraud
 
General Data Protection Regulation Webinar 6
General Data Protection Regulation Webinar 6 General Data Protection Regulation Webinar 6
General Data Protection Regulation Webinar 6
 
Focused agile audit planning using analytics
Focused agile audit planning using analyticsFocused agile audit planning using analytics
Focused agile audit planning using analytics
 
General Data Protection Regulation for Auditors 5 of 10
General Data Protection Regulation for Auditors 5 of 10General Data Protection Regulation for Auditors 5 of 10
General Data Protection Regulation for Auditors 5 of 10
 
Ethics and the Internal Auditor
Ethics and the Internal AuditorEthics and the Internal Auditor
Ethics and the Internal Auditor
 
How analytics should be used in controls testing instead of sampling
How analytics should be used in controls testing instead of sampling How analytics should be used in controls testing instead of sampling
How analytics should be used in controls testing instead of sampling
 
How analytics should be used in controls testing instead of sampling
How analytics should be used in controls testing instead of samplingHow analytics should be used in controls testing instead of sampling
How analytics should be used in controls testing instead of sampling
 
GDPR Series Session 4
GDPR Series Session 4GDPR Series Session 4
GDPR Series Session 4
 
Cybersecurity Slides
Cybersecurity  SlidesCybersecurity  Slides
Cybersecurity Slides
 
Implementing and Auditing GDPR Series (3 of 10)
Implementing and Auditing GDPR Series (3 of 10) Implementing and Auditing GDPR Series (3 of 10)
Implementing and Auditing GDPR Series (3 of 10)
 

Último

Just Call Vip call girls Mysore Escorts ☎️9352988975 Two shot with one girl (...
Just Call Vip call girls Mysore Escorts ☎️9352988975 Two shot with one girl (...Just Call Vip call girls Mysore Escorts ☎️9352988975 Two shot with one girl (...
Just Call Vip call girls Mysore Escorts ☎️9352988975 Two shot with one girl (...
gajnagarg
 
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get CytotecAbortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Riyadh +966572737505 get cytotec
 
Abortion pills in Jeddah | +966572737505 | Get Cytotec
Abortion pills in Jeddah | +966572737505 | Get CytotecAbortion pills in Jeddah | +966572737505 | Get Cytotec
Abortion pills in Jeddah | +966572737505 | Get Cytotec
Abortion pills in Riyadh +966572737505 get cytotec
 
Call Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night StandCall Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night Stand
amitlee9823
 
➥🔝 7737669865 🔝▻ Sambalpur Call-girls in Women Seeking Men 🔝Sambalpur🔝 Esc...
➥🔝 7737669865 🔝▻ Sambalpur Call-girls in Women Seeking Men  🔝Sambalpur🔝   Esc...➥🔝 7737669865 🔝▻ Sambalpur Call-girls in Women Seeking Men  🔝Sambalpur🔝   Esc...
➥🔝 7737669865 🔝▻ Sambalpur Call-girls in Women Seeking Men 🔝Sambalpur🔝 Esc...
amitlee9823
 
Call Girls Begur Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
Call Girls Begur Just Call 👗 7737669865 👗 Top Class Call Girl Service BangaloreCall Girls Begur Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
Call Girls Begur Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
amitlee9823
 
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
amitlee9823
 
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men 🔝Mathura🔝 Escorts...
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men  🔝Mathura🔝   Escorts...➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men  🔝Mathura🔝   Escorts...
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men 🔝Mathura🔝 Escorts...
amitlee9823
 
➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men 🔝Dindigul🔝 Escor...
➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men  🔝Dindigul🔝   Escor...➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men  🔝Dindigul🔝   Escor...
➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men 🔝Dindigul🔝 Escor...
amitlee9823
 
Call Girls In Bellandur ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Bellandur ☎ 7737669865 🥵 Book Your One night StandCall Girls In Bellandur ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Bellandur ☎ 7737669865 🥵 Book Your One night Stand
amitlee9823
 
➥🔝 7737669865 🔝▻ Ongole Call-girls in Women Seeking Men 🔝Ongole🔝 Escorts S...
➥🔝 7737669865 🔝▻ Ongole Call-girls in Women Seeking Men  🔝Ongole🔝   Escorts S...➥🔝 7737669865 🔝▻ Ongole Call-girls in Women Seeking Men  🔝Ongole🔝   Escorts S...
➥🔝 7737669865 🔝▻ Ongole Call-girls in Women Seeking Men 🔝Ongole🔝 Escorts S...
amitlee9823
 
➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men 🔝Bangalore🔝 Esc...
➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men  🔝Bangalore🔝   Esc...➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men  🔝Bangalore🔝   Esc...
➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men 🔝Bangalore🔝 Esc...
amitlee9823
 
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
amitlee9823
 
Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
amitlee9823
 
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Just Call Vip call girls roorkee Escorts ☎️9352988975 Two shot with one girl ...
Just Call Vip call girls roorkee Escorts ☎️9352988975 Two shot with one girl ...Just Call Vip call girls roorkee Escorts ☎️9352988975 Two shot with one girl ...
Just Call Vip call girls roorkee Escorts ☎️9352988975 Two shot with one girl ...
gajnagarg
 
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
amitlee9823
 
Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...
Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...
Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...
amitlee9823
 

Último (20)

Just Call Vip call girls Mysore Escorts ☎️9352988975 Two shot with one girl (...
Just Call Vip call girls Mysore Escorts ☎️9352988975 Two shot with one girl (...Just Call Vip call girls Mysore Escorts ☎️9352988975 Two shot with one girl (...
Just Call Vip call girls Mysore Escorts ☎️9352988975 Two shot with one girl (...
 
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
 
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get CytotecAbortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
 
Abortion pills in Jeddah | +966572737505 | Get Cytotec
Abortion pills in Jeddah | +966572737505 | Get CytotecAbortion pills in Jeddah | +966572737505 | Get Cytotec
Abortion pills in Jeddah | +966572737505 | Get Cytotec
 
Call Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night StandCall Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Shivaji Nagar ☎ 7737669865 🥵 Book Your One night Stand
 
➥🔝 7737669865 🔝▻ Sambalpur Call-girls in Women Seeking Men 🔝Sambalpur🔝 Esc...
➥🔝 7737669865 🔝▻ Sambalpur Call-girls in Women Seeking Men  🔝Sambalpur🔝   Esc...➥🔝 7737669865 🔝▻ Sambalpur Call-girls in Women Seeking Men  🔝Sambalpur🔝   Esc...
➥🔝 7737669865 🔝▻ Sambalpur Call-girls in Women Seeking Men 🔝Sambalpur🔝 Esc...
 
Call Girls Begur Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
Call Girls Begur Just Call 👗 7737669865 👗 Top Class Call Girl Service BangaloreCall Girls Begur Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
Call Girls Begur Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
 
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
Chintamani Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore ...
 
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men 🔝Mathura🔝 Escorts...
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men  🔝Mathura🔝   Escorts...➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men  🔝Mathura🔝   Escorts...
➥🔝 7737669865 🔝▻ Mathura Call-girls in Women Seeking Men 🔝Mathura🔝 Escorts...
 
➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men 🔝Dindigul🔝 Escor...
➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men  🔝Dindigul🔝   Escor...➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men  🔝Dindigul🔝   Escor...
➥🔝 7737669865 🔝▻ Dindigul Call-girls in Women Seeking Men 🔝Dindigul🔝 Escor...
 
Call Girls In Bellandur ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Bellandur ☎ 7737669865 🥵 Book Your One night StandCall Girls In Bellandur ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Bellandur ☎ 7737669865 🥵 Book Your One night Stand
 
➥🔝 7737669865 🔝▻ Ongole Call-girls in Women Seeking Men 🔝Ongole🔝 Escorts S...
➥🔝 7737669865 🔝▻ Ongole Call-girls in Women Seeking Men  🔝Ongole🔝   Escorts S...➥🔝 7737669865 🔝▻ Ongole Call-girls in Women Seeking Men  🔝Ongole🔝   Escorts S...
➥🔝 7737669865 🔝▻ Ongole Call-girls in Women Seeking Men 🔝Ongole🔝 Escorts S...
 
➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men 🔝Bangalore🔝 Esc...
➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men  🔝Bangalore🔝   Esc...➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men  🔝Bangalore🔝   Esc...
➥🔝 7737669865 🔝▻ Bangalore Call-girls in Women Seeking Men 🔝Bangalore🔝 Esc...
 
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
Call Girls Bannerghatta Road Just Call 👗 7737669865 👗 Top Class Call Girl Ser...
 
Detecting Credit Card Fraud: A Machine Learning Approach
Detecting Credit Card Fraud: A Machine Learning ApproachDetecting Credit Card Fraud: A Machine Learning Approach
Detecting Credit Card Fraud: A Machine Learning Approach
 
Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
Call Girls Jalahalli Just Call 👗 7737669865 👗 Top Class Call Girl Service Ban...
 
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
Just Call Vip call girls roorkee Escorts ☎️9352988975 Two shot with one girl ...
Just Call Vip call girls roorkee Escorts ☎️9352988975 Two shot with one girl ...Just Call Vip call girls roorkee Escorts ☎️9352988975 Two shot with one girl ...
Just Call Vip call girls roorkee Escorts ☎️9352988975 Two shot with one girl ...
 
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
Call Girls Hsr Layout Just Call 👗 7737669865 👗 Top Class Call Girl Service Ba...
 
Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...
Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...
Vip Mumbai Call Girls Marol Naka Call On 9920725232 With Body to body massage...
 

Building Simple Continuous Reviews in ACL

  • 1. Building Simple Continuous Reviews in ACLTM July 2, 2014 AuditNet and AuditSoftwareVideos.com Collaboration Brought to you by AuditSoftwareVideos.com and AuditNet®, working together to provide:  Practical audit software training  Resource links  Independent analysis  Tools to improve audit software usage Today focused on providing practical data analysis training Page 1
  • 2. About Jim Kaplan, CIA, CFE  President and Founder of AuditNet®, the global resource for auditors (now available on Apple and Android 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 About AuditNet® LLC • AuditNet®, the global resource for auditors, is available on the Web, iPad, iPhone and Android devices and features: • Over 2,000 Reusable Templates, Audit Programs, Questionnaires, and Control Matrices • Training without Travel Webinars focusing on fraud, audit software (ACL, IDEA, Excel), IT audit, and internal audit • Audit guides, manuals, and books on audit basics and using audit technology • LinkedIn Networking Groups • Monthly Newsletters with Expert Guest Columnists • Book Reviews • Surveys on timely topics for internal auditors Introductions Page 3
  • 3. Webinar Housekeeping Page 4 This webinar and its material are the  property of  Cash Recovery Partners LLC.  Unauthorized usage or recording of this  webinar or any of its material is strictly  forbidden. We are recording the webinar  and you will be provided with a link to that  recording as detailed below. Downloading or  otherwise duplicating the webinar recording  is expressly prohibited. Webinar recording link will be sent via email  within 5‐7 business days. NASBA rules require us to ask polling  questions during the Webinar and CPE  certificates will be sent via email to those  who answer ALL the polling questions The CPE certificates and link to the recording  will be sent to the email address you  registered with in GTW. We are not  responsible for delivery problems due to  spam filters, attachment restrictions or other  controls in place for your email client. Submit questions via the chat box on your  screen and we will answer them either  during or at the conclusion. After the Webinar is over you will have an  opportunity to provide feedback. Please  complete the feedback questionnaire to help  us continuously improve our Webinars If GTW stops working you may need to close  and restart. You can always dial in and listen  and follow along with the handout. Disclaimers 5 The views expressed by the presenters do not necessarily represent the  views, positions, or opinions of AuditNet® or the presenters’ respective  organizations. These materials, and the oral presentation accompanying them,  are for educational purposes only and do not constitute accounting or legal  advice or create an accountant‐client relationship.  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 Any mention of commercial products is for information only; it does not imply  recommendation or endorsement by AuditNet®
  • 4. Richard B. Lanza, CPA, CFE, CGMA • Over two decades of ACL and Excel software usage • 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 • 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 Why it is important to development continuous monitoring applications in key areas of your business to reduce audit time while increase audit quality. Integrating analytics in all areas of the audit process from audit planning to follow up. Outline an effective data request process to ensure complete and accurate extractions of data every time. Discuss auto-normalization techniques of data to speed the reporting process. See how analytics can maximize the annual audit plan and better ensure focus is placed on organizational risk. Understand how to develop Excel / CSV export routines that auto-export data from ACL at the end of processing. Pros and cons of specific software tools when implementing data analytics and continuous reviews. Understand some common approaches to overcoming obstacles to planning data analytics based on case studies from companies and survey attendees themselves. Page 7
  • 5. Continuous Audit / Continuous Monitoring - Why It’s Important and Audit Software Integration Page 8 Analytic Command Center “Auditor in a Can” Page 9
  • 6. Top Audit Software Implementation Practices Page 10 Audit Analytic Best Practices Automate the data import and normalization process  Develop Excel macros to improve client provided data quickly  Automate the data extraction, file cleansing, and data validation  Everyone is different with their data – so normalize Reduce false positives in the final reports  Prioritize the likelihood of findings  Use mathematical scoring Document, save, and possibly videotape your work plan  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 Page 11
  • 7. Think Prevention vs. Future Detection  Identify issues earlier in their lifecycle  Build a aura of deterrence within procure to pay Build a Continuous Review Process  Technology  Minimal staff time / external assistance Keep Improving the Model  Model on identified frauds  Remove false positives to isolate interesting events Best Practice Approach on Fraud - Find It Before It Finds You Data Marts and Server Benefits Centralized data and backups Audit knowledge is saved in one place  Remove the “Learn and Leave” dilemma facing companies Security and user management Better data than the business units Faster processing for large data sets Page 13
  • 8. Data Marts and Server Reality Most audit areas don’t require it  Data is only needed once a year or more for some audits  Data extraction routines can be saved by IT and audit  Server speed is not needed for majority of audits Sometimes difficult to explain the ROI to I.T. if smaller “example” audits are not completed first  High initial cost of a sledgehammer for hanging a picture  May turn off management to all data analytics Page 14 Value of ACL Scripting Useful for routine tasks  Can be for periodic audit steps  Also can assist in importing similar data • For example, OPEN FILE 1, EXTRACT RECORD, OPEN FILE 2, EXTRACT RECORD, etc. Build the quality in once  “Set it and forget it” Learn how ACL works behind the scenes  Value of learning ACL for DOS Page 15
  • 9. Making it Continuous Does not make sense for every audit area  Makes sense for general ledger in all companies Find willing business units who want to self-review Start small, roll out audit applications, and have a management plan that does NOT include audit except for business requirement changes Audit can have access and should periodically “kick the tires” Page 16 Polling Question 1 Polling Question Displayed during the Webinar
  • 10. Effective Data Request Process and Auto-Normalization Page 18
  • 11. 20 There’s Gold In That Data Taken from the 2007 Buyer’s Guide to Audit, Anti-Fraud, and Assurance Software Data Request is Sent Prior…..11/14/12 Webinar Page 2111/14/12
  • 12. Top 10 Data Import Mistakes 1. Not knowing what is possible within the tool to import and normalize data 2. Asking for data before understanding reporting needs 3. Not including knowledgeable system professionals to assist in or review the extract 4. Forgetting to run statistics on amount/date fields 5. Not summarizing text code fields (including invoice numbers to find E+ issues) Page 22 Top 10 Data Import Mistakes 6. Lack of hardcopy information for review in relation to imported data 7. Not validating field totals to batch totals 8. Using report files vs. fixed length system files 9. Getting data in Excel vs. a more raw format 10.Lack of understanding of the various data types Page 23
  • 13. Clear Data Request Accounts Payable Data Request.doc Data Import Module From Excel Import Script Code.xlsx
  • 14. Polling Question 2 Polling Question Displayed during the Webinar Maximize the Audit Plan and Building an Organizational Viewpoint Page 27
  • 15. Data Analytics in the Audit Plan AuditNet Nov. 14, 2012 Page 28 Process to Report Mapping Page 29
  • 16. Mapping Data and Objectives 30 Query Viewpoints
  • 17. Query T&E Reports  Unmatched query of cardholders to an active employee masterfile  Cards used in multiple states (more than 2) in the same day  Cards processing in multiple currencies (more than 2) in the same day  Identify cards that have not had activity in the last six months  Cardholders that have more than one card  Extract any cash back credits processed through the card  Extract declined card transactions and determine if they are frequent for certain cards Data Mining T&E - It’s The Trends…Right?  Trend categories (meals, hotel, airfare, other)  Trend by person and title  Trend departments  Trend vendors  Trend in the type of receipts  Trend under limits (company policy) 33
  • 18. Transactional Score Benefits The best sample items (to meet your attributes) are selected based on the severity given to each attribute. In other words, errors, as you define them, can be mathematically calculated. Instead of selecting samples from reports, transactions that meet multiple report attributes are selected (kill more birds with one stone). Therefore a 50 unit sample can efficiently audit:  38 duplicate payments  22 round invoices  18 in sequence invoices ….and they are the best given they are mathematically the most “severe”. 34 Pick Items Rare in Several Ways  Don’t choose just ANY weekend invoice  Choose an UNUSUAL weekend invoice  Large weekend invoices are the rarest kind (i.e., only 2 percent of large invoices)  The odds of finding a recoverable error go up AND since the invoice is large, the value recovered goes up too! Page 35
  • 20. Obtain data at least once a year for use in the planning exercise  Basic data may all that is needed from key systems and locations Run a series of tests across each location’s data  Consider focusing on general ledger given its broad exposure to the business  Consider using risk scoring in a consistent fashion across the company Prototype a few local audit toolkits each year  Most cost effective way to develop and ACL is cheaper than almost any other development platform for finance/audit professionals  Identify “low hanging fruit” for cost savings and improvements. Considerations for Overall Audit Planning Normalize and test general ledger data consistently on all locations  Most internal audit shops obtain general ledger data quarterly for their external auditors anyway – no excuse G/L data is the lifeblood of the organization  Planning will improve as focus can be placed on key accounts, entries, timeframes, enterers, etc. and will guide future data extracts  Most systems post in detail (even down to inventory movements) which can allow detailed review of subledgers….using G/L data Identify savings, better ideas,…and fraud  Fraud has been the focus and we should still test for it  Savings in cost recoveries can now become more of a focus  Better ideas leveraged through technology • Efficiency (to help a faster close) • Revenue and business enhancement Key Mantras of G/L Analytic Auditing
  • 21. Journal Entry Surveillance System (“J.E.S.S”) Overall Review Objectives  Model “normal” account behavior  Identify unusual changes in activity • Over time • By account sequence • In amount • In value (I/S, B/S, Net effect) • In enterers behavior or words entered • Key concern accounts  Detect unusual journal entries based on past risk factors and expected schemes  Monitor unauthorized enterers  Reconcile GL activity to trial balance figures (completeness) and financial statements Profit Opportunities Outweigh Analytic Costs Accounts Payable Audit Fee Benchmarking Advertising Agency Document Fleet Freight Health Benefits Lease Media Order to Cash Proactive Fraud Detection Project Fraud Real Estate Depreciation Sales & Use Tax / VAT / R&D tax Strategic Sourcing Telecom Travel and Entertainment Utilities
  • 22. Cost Recovery Opportunity Tests 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) Polling Question 3 Polling Question Displayed during the Webinar
  • 23. Auto-Workpaper Export Routines Page 44 Polling Question 4 Polling Question Displayed during the Webinar
  • 24. Pros and Cons of Tools When Implementing Continuous Analytics & Overcoming Obstacles Page 46 Most Popular Audit Software Products  ACL / AX  ActiveData for Excel  Arbutus Software  IDEA  Microsoft Access  Microsoft Excel  TopCaats
  • 25. Tool Selection Considerations  Core processing features  Advanced features  Advanced data import  Scripting  Ease of use  Training / Customer Support / User Groups  Years in business / Company sustainability  Workpaper system integration Proposal Decision Analysis Page 49 http://www.caseware.com/products/idea#_res earch_reports
  • 26. Use data analytics on almost every audit  Brainstorm the use data analytics in the audit planning process  Drop an audit and instead plan 10% for “data fun” across all audits / Understand the process and benchmark it for future reviews  Make it part of annual objectives to use the product Find cost savings to pay for the usage & Track it & Promote it  Risk assess the general ledger – stratify by month by account J/E risk scores  Search for cost recovery opportunities  Sell the need for increased software and education • Also sell the cost/benefit of ACL to other development platforms (especially for prototyping). Overcoming Obstacles Page 50 Plan on education and make it routine  Meet every three weeks on analytics – no matter what  Build a team of champions to coach the team  Get everyone else involved…..even if it is with Excel to start  Make it part of annual objectives to learn the product Establish data channels to all (material) parts of the organization  Have more freedom to extract data as needed  Obtain quarterly feeds of data  Obtain data from all locations once a year for audit planning Overcoming Obstacles Page 51
  • 27. Polling Question #5 Page 52 Polling Question Displayed during the Webinar Questions? Any Questions? Don’t be Shy! Page 53
  • 28. In the Queue Sampling in Excel and Other Simple Add-In Products – Aug 13 ACL Basic/Intermediate Scripting – Sept 10 Financial Statement Analysis to Journal Reviews With Excel Tools – Oct 7 AuditSoftwareVideos.com 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 10 minutes) Page 55 >> Professionally produced videos by instructors with over 20 years experience in ACL™, Excel™ , and more
  • 29. Thank You! Jim Kaplan AuditNet® LLC 1-800-385-1625 Email:info@auditnet.org http://www.auditnet.org Richard B. Lanza, CPA, CFE, CGMA Cash Recovery Partners, LLC Phone: 973-729-3944 Cell: 201-650-4150 Fax: 973-270-2428 Email: rich@richlanza.com http://www.richlanza.com Page 56