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

Want to learn more?