Risk Register

Risk Register.

Five frameworks. One consistent finding: acquired companies carry data liabilities their sellers did not disclose and their buyers did not audit.

Every privacy framework creates specific constraints on how data can be collected, stored, transferred, and activated for marketing. Those constraints directly affect the value of a data estate in an acquisition context. A CRM with 2 million records is worth a different number depending on whether those records were collected under valid consent, whether cross-border transfer mechanisms are in place, and whether the consent architecture supports the buyer's intended use cases post-close.

What we see consistently across PE-backed acquisitions is a gap between the data assets presented in the deal room and the data assets that are actually usable under applicable law. Sellers represent record counts. Buyers inherit compliance obligations. The gap between those two realities is where deal value erodes.

The Risk Register maps five regulatory frameworks to the specific diligence questions, compliance checkpoints, and enforcement patterns that PE deal teams need to evaluate. Each framework page covers what the regulation actually requires, where we find failures most often, and what those failures cost in practice. This is not legal advice. It is operational pattern recognition drawn from dozens of acquisitions where the data estate turned out to be worth less than the model assumed.

Frameworks

Five Regulatory Regimes.
One Diligence Gap.

83%
of acquired companies had at least one undisclosed consent architecture gap
$12.9M
avg annual cost of poor data quality per organization
Only 3%
of enterprise data meets basic quality standards
$4.45M
average cost of a single data breach

Privacy Diligence

Data liabilities don't appear
in the seller's deck.

We audit consent architecture, data transfer mechanisms, and compliance posture before the LOI. The findings change the model. Every time.

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