Blockchain analytics tools provide critical intelligence to compliance teams, regulators, and investigators. These professionals use that intelligence to uncover illicit activity, prioritize investigations, support enforcement actions, and ultimately hold bad actors accountable. But those outcomes depend on one thing: the quality of the underlying blockchain data.If the data is wrong, investigators will waste time and resources chasing a false lead, and compliance analysts could miss sanctions exposure. The downstream effects can be even worse: a single incorrect attribution can discredit hundreds of related insights, undermine entire investigations and lead to wrongful customer terminations.Selecting the right blockchain analytics provider is therefore a mission-critical decision. Evaluating the quality of the underlying data requires more than comparing feature lists or coverage claims. Any provider performing rigorous analytical work should be able to explain the methodology behind its conclusions, the evidence supporting them, the safeguards used to prioritize accuracy, and show that the claims hold up under scrutiny and independent testing. The following questions are designed to assess the rigor, transparency, and evidentiary standards behind a provider’s methodology as part of your due diligence.How addresses get grouped