Troubleshoot Identity Resolution Results with Calculated Insights

Build calculated insights to investigate the quality of your unified profile data and profile consolidation rates.

• Data Quality Calculated Insight: Summary by Source
  Review the number of unique contact points per data source. The number of unique contact points is the number of source records consolidated in identity resolution. Use this calculated insight after data ingestion, but before creating an identity resolution ruleset.
• Data Quality Calculated Insight: Contact Points Per Individual
  Review the number of contact points for each source record to find outliers. Outliers can help you identify issues with your source data or data mappings. Use this calculated insight after data ingestion, but before creating an identity resolution ruleset.
• Data Quality Calculated Insights: Contributing Contact Points
  Review occurrences of repeat values for Contact Point Address, Contact Point Email, Contact Point Phone, and Party Identification objects. Use this calculated insight after data ingestion, but before creating an identity resolution ruleset.
• Identity Resolution Calculated Insight: Consolidation Rates for Unified Profiles
  Review the consolidation rate of matched profiles for each data source. Data sources with duplicate profiles are expected to have higher consolidation rates than data sources with many unique profiles. Use this calculated insight after creating unified profiles with an identity resolution ruleset.
• Identity Resolution Calculated Insight: Outlier Unified Profiles
  Review the number of matched contact points for each unified profile. A high number of matches per contact point, like profiles with hundreds of source records matched with the same email address, could indicate issues with data quality or source data. Use this calculated insight after creating unified profiles with an identity resolution ruleset.