White Papers

The Mosaic Effect in M&A

How Seemingly Innocuous Data Combinations Create Hidden Liability

Traditional M&A due diligence evaluates data assets as discrete entities. But modern privacy risk emerges from data combinations—the "mosaic effect." This paper demonstrates how quasi-identifier combinations across acquired datasets can create re-identification risks that neither party anticipated, with quantified impacts on deal valuations and post-acquisition liabilities.