recognizing and preventing fixed asset and inventory fraud using data analysis

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Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis March 27, 2013 Special Guest Presenter: Katrina Kiselinchev, CIA, CPA, CFE, CFF Copyright © 2013 FraudResourceNet™ LLC Copyright © 2013 FraudResourceNet™ LLC About Peter Goldmann, MSc., CFE President and Founder of White Collar Crime 101 Publisher of WhiteCollar Crime Fighter Developer of FraudAware® AntiFraud Training Monthly Columnist, The Fraud Examiner, ACFE Newsletter Member of Editorial Advisory Board, ACFE Author of “Fraud in the Markets” Explains how fraud fueled the financial crisis.

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Webinar series from FraudResourceNet LLC on Preventing and Detecting Fraud Using Data Analytics. Recordings of these Webinars are available for purchase from our Website fraudresourcenet.com This Webinar focused on fraud detection using data analytic software (Excel, ACL, IDEA) FraudResourceNet (FRN) is the only searchable portal of practical, expert fraud prevention, detection and audit information on the Web. FRN combines the high quality, authoritative anti-fraud and audit content from the leading providers, AuditNet ® LLC and White-Collar Crime 101 LLC/FraudAware. The two entities designed FRN as the “go-to”, easy-to-use source of “how-to” fraud prevention, detection, audit and investigation templates, guidelines, policies, training programs (recorded no CPE and live with CPE) and articles from leading subject matter experts. FRN is a continuously expanding and improving resource, offering auditors, fraud examiners, controllers, investigators and accountants a content-rich source of cutting-edge anti-fraud tools and techniques they will want to refer to again and again.

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Page 1: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

March 27, 2013

Special Guest Presenter:Katrina Kiselinchev, CIA, CPA, CFE, CFF

Copyright © 2013 FraudResourceNet™ LLC

Copyright © 2013 FraudResourceNet™ LLC

About Peter Goldmann, MSc., CFE

President and Founder of White Collar Crime 101

Publisher of White‐Collar Crime Fighter

Developer of FraudAware® Anti‐Fraud Training Monthly Columnist, The Fraud Examiner, 

ACFE Newsletter

Member of Editorial Advisory Board, ACFE

Author of “Fraud in the Markets”

Explains how fraud fueled the financial crisis.

Page 2: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

About Jim Kaplan, MSc, CIA, CFE

President and Founder of AuditNet®, the global resource for auditors 

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 

Copyright © 2013 FraudResourceNet™ LLC

About Katrina Kiselinchev, CPA, CIA, CFE, CFF

President of Inclusivitie, We Do “SMART”

Integration Partner with IDEA

Experience across industries, audit, fraud, and value

Achieved Value of $5+ Million & ROI of 2000+%, which 

included using IDEA’s SMART Analyzer .

Adjunct Professor at Georgia State University

Specific Fraud in Fixed Asset e.g. Mischaracterized Fixed  

Asset v. Expense to Increase Bottom Line. 

Page 3: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Webinar Housekeeping

This webinar and its material are the property of AuditNet® and FraudAware®. Unauthorized usage or recording of this webinar or any of its material is strictly forbidden. We will be recording the webinar and you will be provided access to that recording within five business days after the webinar. Downloading or otherwise duplicating the webinar recording is expressly prohibited.

Please complete the evaluation to help us continuously improve our Webinars.You must answer the polling questions to qualify for CPE per NASBA.

Submit questions via the chat box on your screen and we will answer them either during or at the conclusion.

If GTW stops working you may need to close and restart. You can always dial in and listen and follow along with the handout.

Copyright © 2013 FraudResourceNet™ LLC

Disclaimers

5

The views expressed by the presenters do not necessarily represent the views, positions, or opinions of FraudResourceNet LLC (FRN) 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 FRN makes every effort to ensure information is accurate and complete, FRN makes no representations, guarantees, or warranties as to

the accuracy or completeness of the information provided via this presentation. FRN 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 FRN website

Any mention of commercial products is for information only; it does not imply recommendation or endorsement by FraudResourceNet LLC

Page 4: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Learning Objectives

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Phantom inventory: How to Know What’s Really in your Warehouses and What’s Not

How Managers Conceal Inventory and Capital Asset Theft by Reporting Fraudulently Inflated Values

Case Studies of Inventory/Fixed Asset Theft and Concealment

Effective Data Analytics Tests Revealing Red Flags of Inventory Theft and Asset Value Misstatement

What to Do After Data Analytics  Has Uncovered Signs of Asset Fraud/Misstatement

Copyright © 2013 FraudResourceNet™ LLC

Agenda

Introduction

The Auditor’s Role

Fraud State of the Union

In the News: Costliest Forms of Fixed Asset & Inventory Fraud

Fixed Asset & Inventory Fraudsters

IMA Building an Asset Company Case 

Planning for Fixed Asset and/or Inventory Fraud

Data Gathering & Software Introduction

Discovery with DA: Is There Fraud at IMA Building an Asset

Red Flag Detection & Collusion 

Finding Fixed Asset and Inventory Fraud & Next Steps

7

Page 5: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

The Auditor’s Role

IPPF Standard 1210.A3

Internal auditors must have sufficient knowledge of…available technology 

based audit techniques   to perform their assigned work

Copyright © 2013 FraudResourceNet™ LLC

IIA Guidance – GTAG 13

Internal auditors require appropriate skills 

and should use available technological 

tools to help them maintain a successful 

fraud management program that covers 

prevention, detection, and investigation. 

As such, all audit professionals — not just 

IT audit specialists — are expected to be 

increasingly proficient in areas such as 

data analysis and the use of technology to 

help them meet the demands of the job.

Page 6: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Professional Guidance

Copyright © 2013 FraudResourceNet™ LLC

Fraud State of the Union

Source: 2012 ACFE Report to the Nations

Page 7: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Fraud State of the Union

Source: 2012 ACFE Report to the Nations

Copyright © 2013 FraudResourceNet™ LLC

Polling Question 1

Types of Inventory Scheme 

(Choose all that apply):  

A. Stealing

B. Diverting in Transit

C. Skimming

D. Check Counterfeiting

E. Adding “Phantom Inventory”

Page 8: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Costliest Forms of Fixed Asset and / or Inventory Fraud

According to ACFE's "Report to the Nation on Occupational Fraud and Abuse": > 7% of Fraud Cases in Financial Statement Fraud with < 99 Employees  > 15% of Fraud Cases in Non‐Cash Schemes Private Companies at 39%+ Of 2012 Fraud, $200K+ Per Incident Banking & Financial Services, Government, and Manufacturing—Highest Fraud %

Copyright © 2013 FraudResourceNet™ LLC

Fraud Schemes

Fixed Asset  Booking Fictitious AssetsMisrepresenting Asset Valuation Falsifying Assets to Meet Loan Covenants Improper Capitalization Stealing Assets

Inventory  Stealing Inventory  Diverting Inventory in Transit Falsifying Inventory Numbers to Boost ProfitsManipulating inventory to conceal embezzlement (Phar‐Mor) Falsifying Inventory to meet Loan Covenants Creating “Phantom” Inventory

‐‐ Inventory on books > on hand due to theft or fraudulent reporting

Page 9: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

AICPA Fraud Task Force & Six Men &$4B in Fraud

It All Started With a Loan FailureDescription: The perpetrator and his companies were the guarantors of several large loans related to entertainment contracts. The loans were participation loans with several foreign banks. Fraud began with failure to record or disclose a liability caused by a failed loan.Perpetrator’s internal accountants relayed that the bankers had requested that the loss be kept off financial statements and that the external CPAs did not know about it. The fraud grew to include overstatement of assets andunderstatement of liabilities to keep the businesses functioning. Dollar loss: $236 million. What was done to conceal the fraud: Extensive internal collusion helped to hide the fraud.“Audit evidence” provided to external CPAs included falsified contracts and invoices that presented certain assets as company‐ owned.Assets that were sold were not removed from the books, assets that were borrowed were presented as owned, and certain guarantees of loans were not disclosed. How scheme was detected: A whistleblower tipped off authorities to the fraud. 

Copyright © 2013 FraudResourceNet™ LLC

Perpetrators

Page 10: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Case Study 1: IMA ASSETS CO.

Initial Contact:

ORANGE U GLADICALL,  Tipster Calls Hotline at IMA Building Co. with anonymous tip that there is massive theft going on in the warehouse, as well as overstatement of assets to meet loan covenants.  

“Concerns about All the Fixed Asset  & Inventory Fraud”

“Scared to Come Forward”

We Need Someone from the Outside

“We Need a Data Analysis Expert… .. Massive Data”

Copyright © 2013 FraudResourceNet™ LLC

19

Large Amounts of Data  Identify Red Flags Faster Increased Coverage Determine Trends Continuous Analysis Process Improvement

Data Analytics for Fraud:Software Overview

Small Amounts of Data Delay in Identifying Red Flags Decreased Coverage Harder to ID Trends

Data Analytics Traditional Auditing

Show First View of IDEA

Page 11: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Software Overview & Introduction

Set Working Folder

Import Data

Check Control Totals

Copyright © 2013 FraudResourceNet™ LLC

Software Overview & Introduction

Set Working Folder

Import Data

Check Control Totals

Page 12: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

IMA Building an Asset Co 1000+ Assets with No Physical Review

Inability to Generate + Cash Flows while Reporting Earnings Growth

No Inventory Comparison of Price v. Unit Cost 

Caught Operations Manager Stealing a TV Via Video Camera

Tight Loan Covenants & EBITDA Nearing Every Quarter

Two People in Fixed Assets and Inventory at Corporate

All Locations Decentralized 

Operations Manager Fixed Asset Clerk

Counted On Tapes Not Working Reviewed Tapes & Notified Management

No Raise in 3+ Years Manager Says Okay to Not Do Physical Counts

10 Year Employee TV Worth $500+

Operations Manager Terminated After Exit Interview

Claims Happened Only 1 Time 

Needed Money to Help Pay Rent

.

Copyright © 2013 FraudResourceNet™ LLC

Polling Question 2

What Is/Are Added Tests for IMA Building an Asset Co. to Consider?

A. Add Test of Recalculation of Depreciation

B. Add Test of Comparison of Anticipated Value to Book Value

C. Neither of the Above

D. Both a and b

Page 13: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Client Communication:Planning for Fixed Assets and/or

Inventory Fraud

Walk‐through of Asset & Inventory Addition & Screening

Procure‐to‐Pay Cycle & COGS Transfer

Complete Audit Plan with Data Analysis Incorporated

Include  Capital Purchase & Inventory Process & Gap

Comparisons to Similar Vendor & Contract Pricing

Copyright © 2013 FraudResourceNet™ LLC

Observations Found

No Asset Valuation Other than Write‐Up With Acquisitions

No Policy or Review of Capital vs. Expense

No Recalculation of Depreciation or Cost v. Depreciation

No Capital or Inventory Budgetary Review

No Oversight of Transfer of Inventory to COGS

Monthly Inventory Turned in From Site

Recurring Negative Cash Flows

Page 14: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Data Gathering for Data Analysis

Request All Meta Data Fields  & FilesInventory

Vendor Name Vendor ID & Site & Address Purchase Order History for X Time Period  Posted & Approved by ID Budgets by Vendor / Item Comments Unit Cost Transfer to COGS Date of Sale Date of Transfer Changes to Fields & Who Made Them

Assets:Asset ID Depreciation for Period Total Depreciation Book Value Item Description Date of Sale Date of Disposal Loss / Gain on Sale

Copyright © 2013 FraudResourceNet™ LLC

Discovery with Data Analysis:Is There Fraud at IMA?

Audits to Perform:

Inventory:

Join for Cost v. Price

COGS Transfer 

Fixed Assets:

Review Cost v. Book Value

Review Cost v. Value

Duplicates

Recalculate Depreciation

Come Up  with Tests for Sales, Accounts Payable, Closing Entries

Request Data in Line with Tests.

Page 15: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Polling Question 3

Which Tests Should IMA Run Initially for Inventory?  

A. Join Comparison Price v Cost

B. Recalculate Depreciation

C. COGS Transfer to Sale

D. Both a and c

Copyright © 2013 FraudResourceNet™ LLC

Discovery with DA: Spend

Audits to Perform:

Inventory: 

Summarize by Item

Price v. Cost

Duplicate Tests

COGS Transfer

Red Flag #1:‐ #3 Pricing Issues on  52”  & Blu‐Ray, Transfer $, Dates

Page 16: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Discovery with DA: Duplicates

Red Flag #4: Same Assets Listed Multiple Times

Copyright © 2013 FraudResourceNet™ LLC

Polling Question 4

Which Red Flags Were Discovered with Initial Inventory Testing?

A. Pricing Issues on DVDs

B. Pricing Issues on TVs 52”

C. COGS Transfer Dates e.g. Expense Recognition

D. B & C

Page 17: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Polling Question 5

Which of the following is/are Red Flag(s)/ Finding(s) Identified in IMA Building?

A. Improper Depreciation CalculatedB. Vendor Spend is Excessive Over Budgeted AmountsC. Terminated Employees Receiving PaychecksD. None of the Above

Copyright © 2013 FraudResourceNet™ LLC

Discovery with DA: Cost v. Book Value & Depreciation

Red Flag #5 ‐ #7:Significant Discrepancies in Cost v. Book Value 

Cost v. Anticipated ValueImproper Depreciation Calculation

Page 18: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Total Issues Found & Next Steps

1)  Complete Summary of Data & Findingsa) Total by Inventory Discrepanciesb) Total by Asset Discrepanciesc) Total by Depreciation Discrepancies

2)    Determine Additional Tests to Run & Perform3) Discuss Findings with CEO Initially & Recommendations4) Complete Interviews with Employees 5) Review Gaps & Control Deficiencies & Provide Recommendations 6) Recommend Management Review for Cost v Benefit & Implement ASAP7) Determine if Client has Fraud Insurance Rider.  If not, recommend.8) Contact Insurance Carrier (if applicable) & Begin Claim Process.9) Contact Authorities & File Report.10) Determine if Prosecution is Viable e.g. Dollar Amount, Management, etc.11) Complete Report (See ACFE.com) 12) Complete Supporting Doc for Insurance Co. & Authorities

Copyright © 2013 FraudResourceNet™ LLC

Prevention and Detection at IMA Building:Assets

Obtain Expected Industry Valuation After X Period & Decline By Year

Compare Unit Costs & Assets vs. Industry Standards

Add System Preventative Controls e.g. X Value Per X Asset

Default Depreciation to X System Level on Set‐Up

Add Test of Comparison of Anticipated Value to Book Value

Recommend & Implement Capital & Inventory Budgetary Review

Inventory

Add Test of Inventory to Transfer Period Review

Add Control of Oversight of Transfer of Inventory to COGS

Add Surprise Physical Counts for Inventory & Fixed Assets 

Perform Physical Counts of All Assets & Inventory of High Volume Sites 

Extrapolate and Adjust Asset & Inventory Values

Preventing Fixed Asset & Inventory Fraud

Page 19: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Preventing Fixed Asset & Inventory Fraud

Continuous Monitoring Complete Risk Assessment & Annual Audit Plan with Data Analysis Determine Monthly & Quarterly Tests by Priority Implement Data Analysis Testing Perform & Complete Ongoing Control Assessments

Copyright © 2013 FraudResourceNet™ LLC

Polling Question 6

What Could Have Prevented IMA’s Asset Issues ?

A. Procurement Manager from Sole Vendor Selection

B. System Depreciation Calculation

C. Implement Data Analysis Testing

D. None of the above.

Page 20: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Thank You!

Website: http://www.fraudresourcenet.com

Jim KaplanFraudResourceNet™

800-385-1625 [email protected]

Peter GoldmannFraudResourceNet™

[email protected]

Katrina KiselinchevInclusivitie, LLC832-236-4778

[email protected]://www.inclusivitie.com

Copyright © 2013 FraudResourceNet™ LLC

Questions?

Any Questions?Don’t be Shy!

Page 21: Recognizing and Preventing Fixed Asset and Inventory Fraud using Data Analysis

Copyright © 2013 FraudResourceNet™ LLC

Coming Up Next Month

Detecting Healthcare Vendor Fraud Using Data Analysis (DA-2) April 17

Anti-Fraud Professionals’ Role in Building an Anti-Fraud Culture (OF-1) April 23