Blockchain analytics tools are foundational to compliance and investigation workflows. When the data behind those workflows is wrong, the cost is real: wasted hours chasing false leads, unnecessary escalations and offboarding of customers, and missed exposure that should have been caught.

Blockchain addresses reveal nothing about their owner. The industry relies on analytics providers to bridge that gap, mapping addresses to real-world entities. But those mappings are difficult to independently verify, especially when it comes to illicit activity. That makes the standards behind them critically important. They must be consistent, reliable, and able to withstand scrutiny.

Join Jacob Illum, Chief Scientist at Chainalysis, as he introduces the formal data quality framework Chainalysis has built, refined, and defended — the only methodology proven through Daubert challenge and validated by independent academic research.