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How to Use Excel to Detect Fraud

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Category Excel designed analytics, Benford’s law analysis, SAS No. 56 Analytics, Benford’s law and limitations, spot fraud red flags with Excel, accounting spreadsheets, accounting test online, Benford’s law excel, accounting test online, online accounting test, Benford’s law fraud detection, fraud analysis, audit template excel, audit sampling software, invoice fraud detection, Microsoft excel step by step, detecting fraud, forensic accounting and fraud detection, excel auditing tools, fraud detection, simple accounting test, application fraud detection, Benford’s tools, statistical fraud detection, accounts payable online test, how to use journal in accounting, detecting accounting fraud

Deadline: March 28, 2018 | Date: March 28, 2018

Venue/Country: Fremont, California, U.S.A

Updated: 2018-03-08 19:30:31 (GMT+9)

Call For Papers - CFP


This Excel training program will illustrate how best to use Excel's special tools and functions to spot fraud red flags. It will also review SAS No. 56 Analytics and related dashboard KPIs and offer insight into Benford's law and limitations. Attendees will learn how to set up a worksheet to help automate Benford's law analysis.

Objectives of the Presentation

Understand the scope and size of fraud

Review proper internal control

Review SAS No. 56 Analytics and related dashboard KPIs

Understand Benford's law and limitations

Set up a worksheet to help automate Benford's law analysis

Using Excel's special tools and functions to spot fraud red flags

Why Should you Attend

Properly informed, financial professionals can serve as fraud auditors and add huge value to their department. Using Excel's fraud related applications lets you data mine huge volumes of accounting transactions in an organized manner and recover substantial amounts of money for your firm.

Excel 2013/16 provides several easy-to-use tools that can greatly enhance and expedite the fraud audit process. This course will demonstrate how to use a variety of Excel tools along with step-by-step instructions that you can put to immediate use to help your firm spot fraud red flags.

This informative, practical, on-the-job training program will combine the best aspects of two different but related topics: fraud auditing and Excel tools for data mining, statistics, analytics and more useful Excel tools.

Areas Covered

Overview of fraud

Scope and size of fraud annually

Internal control and segregated functions

Troubleshooting potential fraud red flags with Excel designed analytics

Horizontal and vertical analysis

Metrics: ratio analysis and disaggregated information

Trend analysis - charting linear regression analysis for speed

Sample dashboard analytics and fraud red flags

Understanding and using Benford's law with Excel to spot potential fraud

Establishing a template for expectations vs. actual results

First and second digit test and needed Excel functions

Limitations of Benford's law

Using gaps in numbers to spot fraud red flags with Excel

Using Excel's special tools and functions to spot fraud red flags

Excel tools for spotting duplicate payments: payroll, vendor invoices, and more

Stratifications, frequencies and maximum analysis

Receivables and inventory

Payables, payroll and disbursements

Finding fictitious vendors, payroll comparisons, duplicate payments, and more

Fictitious sales - bonuses to salesmen - using pivot tables to age receivables

Fraudulent travel and expense account items

Auto fleet: fraudulent gas purchases

Who will Benefit



Financial Controllers

Staff Accountants

Finance and Accounting Department Personnel

Independent Auditors

Internal Auditors

Financial Analysts

Budget Directors

Government and Private Industry Financial Professionals

For Registration

Note: Use Promo Code YDEZ6H and get 10% off on registration (Valid till MARCH 31st 2018)

Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.