Yes—the data quality process itself is audited. Beyond automated anomaly detection and schema checks, Helios runs regular audits of the validation workflow to confirm that our controls are working and to identify improvements.
That program includes (i) consistency checks across sources, (ii) completeness assessments for required fields, and (iii) cross-verification against known references before data are promoted.
These audits are part of a rigorous, stage-by-stage validation approach that spans the full lifecycle—from initial collection through final analysis—and is continuously updated to align with industry best practices. The goal isn’t just to certify process; it’s to ensure the numbers you see are reliable enough for trading, hedging, and reporting.