Audit & Monitoring
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.
Use cases
Increase data quality
- Utilize a data quality standard to select the best datasets to leverage
- Identify and address any data quality or compliance concerns head on
Shorten test periods
- Leverage Neutronian certification as a baseline to address more questions upfront and shorten data vetting processes overall
- Have a comprehensive understanding of data quality from consent to performance
Key benefits
Marketers & Brands
- Leverage a standard to verify the quality and compliance of the datasets that you are currently using
- Save time by utilizing Neutronian as your intitial data vetting process, taking the burden of this effort off of your team
Data Providers
- Build trust with data buyers by demonstrating the quality and compliance of your data with Neutronian certification
- Shorten sales cycles and buyer data vetting processes by having already completed independent data certification
Technology & Data Platforms
- Leverage a standard to verify the quality and compliance of the datasets in your platform
- Save time but utilizing Neutronian as your initial data vetting process, taking the burden of this effort off of your team
