Neutronian Audit & Monitoring provides a standard against which all MarTech data is rated.
Our comprehensive definition of data quality covers five main categories:
AUDIT CATEGORY | EXAMPLES OF ASPECTS COVERED |
---|---|
CONSENT & COMPLIANCE |
• Consent standards and opt-in/out process • Privacy and compliance disclosures (ex. GDPR, CCPA, FLA/FCRA, etc.) |
SOURCING TRANSPARENCY |
• Data sources and data capture mechanisms • Transparency of data sources and data use details internally and externally |
DATASET CHARACTERISTICS |
• Type(s) of dataset – deterministic and/or modeled • Data cleansing practices – de-duplication, removal of fraudulent data, etc. |
METHODOLOGY & PROCESSING |
• Data processing and retention controls • Statistical methodology utilization – modeling, weighting, etc. |
PERFORMANCE |
• Methods used to evaluate data accuracy and performance • Frequency of evaluating data performance |
Data providers that meet baseline criteria receive Neutronian certification and Neutronian Quality Index (NQITM) scores that marketers use to guide buying decisions.