About the RealTime Contacts Data Product
Limited ReleaseRealTime data products are in limited release. Some functionality is still in development and is subject to change. If you are interested in using these data products, contact Tamr Support ([email protected]).
The RealTime Contacts data product provides a 360-degree view of your B2B contacts, and ensures that you have the most complete and up-to-date information for each contact.
This data product provides:
- An industry-standard schema for business contact data.
- A pre-trained matching configuration to identify duplicate contact records.
- Default rules to determine the best values for your golden records. These rules also include a final value condition as a tiebreaker if rules resolve to multiple values.
Contacts Schema, Match Logic, and Default Consolidation Rules
Single Attributes
| Attribute | Used in Matching | Default Record Consolidation Rule |
|---|---|---|
| Primary Key (required) | no | Not applicable |
| Full Name (required if First and Family Names are not provided) | yes | Most common Full Name
Final value condition: Smallest value |
| Name Prefix | no | Most common Name Prefix associated with the most common Full Name
Final value condition: Smallest value |
| First Name | yes | Most common First Name associated with the most common Full Name
Final value condition: Smallest value |
| Middle Name | no | Most common Middle Name associated with the most common Full Name
Final value condition: Smallest value |
| Family Name | yes | Most common Family Name associated with the most common Full Name
Final value condition: Smallest value |
| Name Suffix | no | Most common Name Suffix associated with the most common Full Name
Final value condition: Smallest value |
| Professional Title | yes | Most common Professional Title
Final value condition: Smallest value |
| Org Name | yes | Most common Org Name
Final value condition: Smallest value |
| Org Alternative Names | yes | Distinct list of Org Alternative Names
Final value condition: Smallest value |
| Org Website | yes | Most common Org Website
Final value condition: Smallest value |
| Linkedin Url | no | Most common Linkedin Url
Final value condition: Smallest value |
Address Attributes
The data product schema includes Primary address attributes by default. You can choose to include attributes for additional address types, including:
- Secondary
- Office
- Corporate
- Previous
- Mailing
- Shipping
- Registered
- Billing
- Other
Each address type includes the following attributes:
| Address Attribute | Used in Matching | Default Record Consolidation Rule |
|---|---|---|
| Address (Map source fields with address line 1 or complete address to this field) |
yes | For all address attributes in the address group, Tamr selects the golden record values from the single source record with:
|
| Address Line 2 | no | |
| Address Line 3 | no | |
| Address Line 4 | no | |
| City | yes | |
| State | yes | |
| Country | yes | |
| Latitude | no | |
| Longitude | no |
Phone Attributes
The data product schema includes Primary phone number attributes by default. You can choose to include attributes for additional phone number types, including:
- Secondary
- Office
- Corporate
- Previous
- Other
- Primary Fax
- Secondary Fax
Each phone type includes the following attributes:
| Phone Attribute | Used in Matching | Default Record Consolidation Rule |
|---|---|---|
| Phone | yes | For all phone attributes in the phone group, Tamr selects the golden record values from the single source record with the most common value for Phone
Final value condition: Smallest value |
| Alternative Phone | yes |
Email Attributes
The data product schema includes Primary email address attributes by default. You can choose to include attributes for additional email address types, including:
- Secondary
- Office
- Corporate
- Previous
- Other
Each email type includes the following attributes:
| Email Attribute | Used in Matching | Default Record Consolidation Rule |
|---|---|---|
| yes | Most common Email
Final value condition: Smallest value |
Updated about 3 hours ago