I think we practiced a question similar to this, and it was about analyzing transaction amounts. So, vendor invoice amounts seem like a likely candidate.
I'm going to go with vendor invoice amounts. That financial data is more likely to follow Benford's Law compared to things like phone numbers or employee IDs.
I'm a bit unsure about this one. I know Benford's Law is used to detect anomalies, but I'm not sure which of these data sets would be the most applicable.
Vendor invoice amounts seem like the most obvious choice here. That's the kind of financial data that Benford's Law is often used to analyze for potential fraud.
Hmm, this one seems tricky. I'll need to think carefully about the principles of Benford's Law and which types of data are most likely to follow that distribution.
Vendor invoices, hands down. It's like a treasure trove of potential fraud just waiting to be uncovered. Plus, I heard the fraud examiner gets a bonus for every dodgy invoice they find.
Bank account numbers? Nah, that's too obvious. Gotta go with employee IDs - you never know what kind of sneaky stuff people might be up to with their own data.
Gayla
9 months agoEden
9 months agoMeaghan
9 months agoLera
9 months agoCarlota
9 months agoEdwin
10 months agoCammy
10 months agoBettina
10 months agoQuentin
10 months agoPete
11 months agoLauran
11 months agoAnnice
11 months agoDelpha
11 months agoJerilyn
1 year agoDierdre
12 months agoJolene
12 months agoTora
1 year agoShay
1 year agoSanjuana
1 year agoStephen
1 year agoLilli
1 year agoScarlet
1 year agoRebbecca
1 year agoOlga
1 year agoMelinda
1 year agoQuentin
1 year agoPhung
1 year agoCletus
1 year agoDorothy
1 year agoMitsue
1 year agoTheron
1 year agoMirta
1 year agoAaron
1 year agoJolanda
1 year agoHerschel
1 year agoLauran
1 year agoElbert
1 year agoKate
1 year agoMarci
1 year agoJunita
1 year ago