The Numbers May be Right.
๐๐ก๐๐ญ ๐๐จ๐๐ฌ๐ง'๐ญ ๐๐ฅ๐ฐ๐๐ฒ๐ฌ ๐ฆ๐๐๐ง ๐ญ๐ก๐ ๐ฌ๐ญ๐จ๐ซ๐ฒ ๐ข๐ฌ.
I've spent much of my career looking at data and asking a fairly simple question:
๐๐ฐ๐ฆ๐ด ๐ต๐ฉ๐ช๐ด ๐ฎ๐ข๐ฌ๐ฆ ๐ด๐ฆ๐ฏ๐ด๐ฆ?
That's also an incredibly useful question during a merger or acquisition.
Traditional due diligence can tell you a great deal about a company. But sometimes the interesting things aren't sitting neatly in a financial statement or contract. They're buried in the underlying data.
A strange concentration of transactions.
Payments that don't follow the normal pattern.
Duplicate or related vendors.
Unusual timing.
Adjustments that consistently move in one direction.
Operational activity that doesn't quite support the financial story.
None of those things, by themselves, prove fraud.
But they can tell you where to look next.
That's where I think forensic data analysis can add another dimension to M&A due diligence: not starting with an accusation, but starting with curiosity.
๐พ๐๐๐ ๐ ๐๐๐ ๐๐๐ ๐ ๐๐๐ ๐๐๐ - ๐๐๐ ๐ ๐๐๐ ๐๐ ๐๐๐๐๐ ๐๐๐๐ ๐๐๐ ๐๐๐๐๐ ๐๐'๐๐ ๐๐๐๐๐ ๐๐๐๐ ?
That's often where the interesting work begins.
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