Duplicate Payments
Duplicate payments can be a significant source of financial leakage.
Although some systems possess basic built-in duplicate detection, it's not likely that they will detect near duplicates that can come in different configurations. The enhanced Duplicates command in Analyzer has helped users to identify different kinds of fuzzy duplicates.
Duplicate Payments
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Same-Same-Same
Detecting payments where one or more values are identical, such as same vendor, same amount, same date, is straightforward. In the Duplicates command dialog, select those fields from the "Field(s) to test for Duplicates" list.
You can select additional fields in the "List fields" list to send to the output, such as product number, that may enhance your follow-up analysis. And, finally, the output can be directed to a file in the "Output options" section by selecting "DATA" and naming the output file.
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Same-Same-Different
If you're trying to detect same vendor, same amount, different invoice, selecting the "Different" parameter will identify those transactions.
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Same-Same-Near
The "Near" parameter allows greater precision and focus. For example, you could search for same vendor, same month, within $10 for amounts that are very close in value. As well, you could identify same vendor, same product, same amount, date within 14 days to exclude recurring payments.
The field being tested for the "Near" quality must be the final field selected in the "Fields to test for Duplicates" list.
Note that the results for Near and Similar places the matching records side-by-side. This facilitates more granular testing, such as calculating the actual number of days between the two transaction dates.
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Same-Same-Similar
It frequently happens that vendors may re-issue the same invoice with a slightly different number, such as re-issuing invoice number "102" as "102a". Or input errors may replace one character so that it is entered as "I02".
The "Similar" parameter allows you to test for same vendor, same amount, invoice numbers within 1 character of each other.
To compare the invoice numbers, all blanks, leading zeros and punctuation are removed, data is made upper case and similar looking characters (e.g. 1 and I, or 0 and O) are matched.
Note how similar the two invoice numbers are for rows 4-6 with substitutions of "I" for "1". -
Suppress Duplicates Parameter
This checkbox will exclude exact matches from the Near and Similar analytics. Exact duplicates are higher-risk, and the presumption is that those would have been already identified. This allows the analyst to focus on a different population without the risk of double-counting.
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
Identifying fuzzy duplicates has never been easier.
Arbutus Analyzer’s versatile functionality enables even new users to detect possible duplicate payments, vendors sharing similar addresses among themselves or with your organization’s employees, and counter parties who may be on government watch lists.
When is a Duplicate not a Duplicate
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