Journal Entry Risk-Scoring
Manual journal entries are high-risk items because they are not part of an automated process. JEs that fall around the end-of-period dates are also of concern.
JE Risk-Scoring
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2020 Holidays
Match(Posting_Date,`20200101`,20200120`,`20200217`,`20200625`,`20200703`,`20200907`,`20201012`,`20201111`,`20201126`,`20201225`)
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Weekends
Match(CDOW(Posting_Date,3),"Sun","Sat")
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Keywords in Description
ListFind("Keywords.txt")
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Same Account, Same Amount
Duplicates ON Account Amount OTHER ALL TO …
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Seldom Used Accounts
Classify ON Account TO Newfile_1 OPEN
Extract Account IF COUNT1 <= 3 TO Newfile_2
OPEN <source file>
OPEN Newfile_2 SECONDARY
Join PKEY Account FIELDS ALL SKEY Account WITH PRESORT SECSORT TO JEs_Seldom_Used_AC OPEN -
Large Credits to Revenue 5 Days Prior to Period-End
(Assumption: Revenue Accounts Begin With "4")
Extract RECORD IF Account = "4" AND Amount_CR <> 0 TO JE_Rev_Accts OPEN
Statistics ON ABS(Amount_CR) STD Number 5
Extract RECORD IF ABS(Amount) > AVERAGE1 + (2* STDDEV1) TO Large_CR_Rev_Accts -
Large Credits to Income Statement Non-Revenue Accounts
(Assumption: Target accounts begin with "5","6", or "7")
Extract RECORD IF Match(Account, "5","6", "7" ) AND Amount_CR <> 0 TO JE_NonRev_Accts OPEN
Statistics ON ABS(Amount_CR) STD Number 5
Extract RECORD IF ABS(Amount) > AVERAGE1 + (2* STDDEV1) TO Large_CR_NonRev_Accts -
Round Amounts
Filter for all amounts with 0 cents:
MOD(Amount,1) = 0For a more granular, materiality-based analysis, create a conditional computed field with a default value of Blanks(30):
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Prior-Year Entries Posted 5 Days After Year-End
Between(Posting_Date,`20190101`,`20190106`) AND Period = "2018"
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Amounts Just Below Approval Threshold
(Assumption: Threshold = $5000)
Create a filter, adjusting the lower bound as necessary:
Between(Amount,4999.99,4900)
Additional Popular Analytics Tests
No two organizations are identical, but the vast majority consider many of the same tests. Learn more about these popular analytics tests
Assessing the Risk When Auditing Journal Entries can be Challenging
This topic lends itself well to data analytics.
In this webinar we'll examine multiple metrics that contribute to the risk assessment of the individual postings as well as the accounts and employees concerned.
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