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English to English translations [PRO]
Bus/Financial - Accounting / audit | | English term or phrase: breakpoint clustering | Control Concerns:
Signatures
- A deterrent but rarely a control
- Breakpoint clustering
- Forgery is easy
This is about preventing and detecting fraud. There is no more context since it's a ppt presentation. Any help appreciated.
Magda |
|   Magda DziadoszKudoZ activityQuestions: 39 (none open) ( 1 closed without grading) Answers: 1338
Poland
| | Local time: 21:44
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| | Signatures are useful only when the fraud is already a fact | Explanation:
Another possibility and a very long explanation...
My understanding is that the problem with signatures is that they do not give control over the actual fraud situation. Signatures can mainly be used to trace people when the fraud is already a fact, but they are not preventive as such, and therefore their "controlling function" is of less importance.
Therefore, a clustering of signatures at around the time of a fraud incidence, does not in any way mean that signatures can be used as a control measure. You might be interested in finding the culprit, but, more importantly, the damage is already done...
A fictive example:
Let us say that there have been 10 instances of fraud at a company. Mr X's signature appears in conjunction with 5 of these, while Mr Y's signature only appears once. Since Mr X's signature is a lot more frequent that Mr Y's, Mr X appears as more suspicious.
However, Mr X might be working 24/7 and his signature is then more frequent by default. Or maybe he is the one who signs most papers?
At any rate, the fact that Mr X and Mr Y had to leave their signature didn't prevent them from being at the scene of the crime (guilty or not). Therefore signatures can be used for tracing, but not as a (preventive) control measure.
See below for an example to support this possibility.
"Examples of potential frauds which can be displayed in this way, include:
•a buyer placing an exceptional value and volume of orders with a favoured supplier
•a contractor whose invoices are frequently just below a tendering threshold (so called“breakpoint clustering”) and
•an employee whose key card access records correlate to a number of fraud incidents."
http://www.google.se/search?q=cache:uPIaGIpCVYwJ:www.pwc.com... |
| Selected response from:
Veronica H? onClick=
Local time: 21:44
| Grading comment Thanks everyone, and especially Hamo for statistical info. In the given context, though, I decided to follow Veronica's explanations. Thanks again!
Magda
4 KudoZ points were awarded for this answer |
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| Discussion entries: 0 |
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Automatic update in 00:
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23 mins confidence:   Difícil sin contexto... ver versión abajo
Explanation:
Clustering parece referirse acá a recopilación. Breakpoint puede ser punto (lugar) de quiebre como de violación (me suena aplicable al caso de fraudes). Así que sintetizando yo diría: RECOPILACIÓN DE LOS CASOS DE VIOLACIÓN. Observa que me estoy arriesgando sin contexto, y esto es sólo para tu consideración. Un feliz domingo desde Medellín.
| | | | | Login to enter a peer comment (or grade) | The asker has declined this answer
Comment: can't read Spanish :) |
1 hr confidence: peer agreement (net): +1 a statistical method for discovering fraud
Explanation:
Clustering is a statistical procedure with many applications, algorithms, and methods of application. Each procedure as a different set of rules by which otherwise large amounts of randomly appearing data are grouped into clusters. The rules by which these clusters are formed are called thresholds, breakpoints, or decision rules (all names for the same statistical notion) which determine how individual data points are to be classified.
One can easily imagine that potentially fraudulent signatures are detected by such a sorting method.
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Note added at 3 hrs 19 mins (2004-02-29 15:06:17 GMT)
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Choosing the correct breaking point is a concern of all statisticians who utilise clutering techniques. It is perfectly reasonble that problems related to statistical controls would be listed as a matter of concern in detecting fraudulent signatures.
| R. A. Stegemann
Thailand
Local time: 04:44
Works in field
Native speaker of:  English
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The translation workplace 
