Building Simple Continuous Reviews in ACL
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Transcript of Building Simple Continuous Reviews in ACL

Building Simple Continuous Reviews in ACLTM
July 2, 2014
AuditNet and AuditSoftwareVideos.com Collaboration
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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
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About AuditNet® LLC
• AuditNet®, the global resource for auditors, is available on the Web, iPad, iPhone and Android devices and features:
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• Book Reviews
• Surveys on timely topics for internal auditors
Introductions
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Webinar Housekeeping
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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.
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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.
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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.
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Continuous Audit / Continuous Monitoring -Why It’s Important and Audit Software Integration
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Analytic Command Center“Auditor in a Can”
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Top Audit Software Implementation Practices
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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
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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
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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
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Value of ACL Scripting
Useful for routine tasksCan be for periodic audit stepsAlso 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 scenesValue of learning ACL for DOS
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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”
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Polling Question 1
Polling Question Displayed during the Webinar

Effective Data Request Process andAuto-Normalization
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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
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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 fields5. Not summarizing text code fields (including
invoice numbers to find E+ issues)
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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
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Clear Data Request
Accounts Payable Data Request.doc
Data Import ModuleFrom Excel
Import Script Code.xlsx

Polling Question 2
Polling Question Displayed during the Webinar
Maximize the Audit Plan and Building an Organizational Viewpoint
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Data Analytics in the Audit PlanAuditNet Nov. 14, 2012
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Process to Report Mapping
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Mapping Data and Objectives
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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)
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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”.
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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!
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Summaries on Various Perspectives
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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 ScoresACL Code
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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 PayableAudit Fee BenchmarkingAdvertising AgencyDocument FleetFreightHealth BenefitsLeaseMediaOrder to Cash
Proactive Fraud DetectionProject FraudReal Estate DepreciationSales & Use Tax / VAT / R&D taxStrategic SourcingTelecomTravel and EntertainmentUtilities

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
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Polling Question 4
Polling Question Displayed during the Webinar

Pros and Cons of Tools When Implementing Continuous Analytics & Overcoming Obstacles
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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
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http://www.caseware.com/products/idea#_research_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
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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
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Polling Question #5
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Polling Question Displayed during the Webinar
Questions?
Any Questions?Don’t be Shy!
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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)
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>> Professionally produced videos by instructors with over 20 years experience in ACL™, Excel™ , and more

Thank You!
Jim KaplanAuditNet® LLC
1-800-385-1625Email:[email protected]://www.auditnet.org
Richard B. Lanza, CPA, CFE, CGMACash Recovery Partners, LLC
Phone: 973-729-3944Cell: 201-650-4150Fax: 973-270-2428
Email: [email protected]://www.richlanza.com
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