---
schema_version: "1"
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title: Troubleshoot Identity Resolution Results with Calculated Insights
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/data/264-0-0/c360_a_resolution_troubleshooting.md
canonical_url: https://help.salesforce.com/s/articleView?id=data.c360_a_resolution_troubleshooting.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 6549c3c9f42415a74e253d7a787cbacbf710104227ccc490c72a25c48949bc6b
description: Build calculated insights to investigate the quality of your unified profile data and profile consolidation rates.
products:
  - Data 360
release: "264"
---
# 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](https://help.salesforce.com/s/articleView?id=data.c360_a_resolution_troubleshooting_ci_summary_by_source.htm&release=264.0.0&type=5)**  
    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](https://help.salesforce.com/s/articleView?id=data.c360_a_resolution_troubleshooting_ci_contact_points_for_individuals.htm&release=264.0.0&type=5)**  
    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](https://help.salesforce.com/s/articleView?id=data.c360_a_resolution_troubleshooting_ci_contact_points_overgrouping.htm&release=264.0.0&type=5)**  
    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](https://help.salesforce.com/s/articleView?id=data.c360_a_resolution_troubleshooting_ci_consolidation_rate.htm&release=264.0.0&type=5)**  
    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](https://help.salesforce.com/s/articleView?id=data.c360_a_resolution_troubleshooting_ci_outlier_unified_profiles.htm&release=264.0.0&type=5)**  
    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.

#### See Also

- [_Salesforce Help_: Data Explorer](https://help.salesforce.com/s/articleView?id=data.c360_a_data_explorer.htm&release=264.0.0&type=5 "With Data Explorer, you can validate data lake objects, data model objects, calculated insights, and data graphs to ensure that your data and formulas are accurate.")
- [_Salesforce Help_: Profile Explorer in Data 360](https://help.salesforce.com/s/articleView?id=data.c360_a_profile_explorer.htm&release=264.0.0&type=5 "Get a complete view of a unified profile for an account or individual for purposes such as validating unified profile data and checking for discrepancies. Customers can deploy a set of Lightning apps to customize and expand the experience.")
- [_Salesforce Help_: Data Mapping](https://help.salesforce.com/s/articleView?id=data.c360_a_data_mapping.htm&release=264.0.0&type=5 "Data ingested by all data streams is written to data lake objects (DLOs). After creating your data streams, you must associate your DLOs to data model objects (DMOs). Only mapped fields and objects with relationships can be used for Segmentation and Activation.")