Data Quality - Contact
Configure how Delpha assesses, cleans, and enriches Salesforce Contact data. Set automatic rules for fields update and track global quality scores to maintain clean, reliable contact records.
Data Quality – Contact Configuration in Delpha
The Data Quality – Contact section in Delpha allows you to configure how contact records are evaluated, cleaned, and scored to maintain high-quality, actionable data.
Key Setup Options
Contact Assessment Criteria Field Filter which Contacts should be assessed using a Boolean field (default:
Contact.D Do Not Assess
). You can use a formula field for more dynamic control.Contact Assessment Enable this to assess all existing and newly created Contacts once.
Contact Continuous Assessment Automatically reassess Contact records when key fields change.
Contact Reassessment Schedule regular reviews even if the record hasn't changed. Options:
Never
,Once a Month
,Once per Quarter
,Twice a Year
,Once a Year
.
Name Field Normalization
Configure how Delpha standardizes and corrects first and last names:
Apply Recommendation Automatically Set conditions (e.g., inconsistent value) and minimum score threshold for auto-correction.
First/Last Name Rules Control letter case, allowed characters, spacing, and removal of unwanted text blocks.
Letter case
Controls capitalization. typical: Capitalize All or ALL UPPERCASE
Characters
Specifies accepted alphabets.
Spacing
Handles white spaces.
Text Blocks
Handles titles or text in parentheses.
Field-Level Automation Settings
Monitored Contact fields:
Name
Email
Phone
Mobile Phone
LinkedIn
Mailing Address
For each field, you can:
Include/exclude it from quality scoring
Define when recommendations are applied
Set a score threshold (default: none)
Examples:
Trigger: When value is Incomplete
Score Threshold:
100
→ Only perfect recommendations are applied automatically
Phone
Trigger: When value is Inconsistent
Normalization enabled (no score threshold needed)
Contact Global Scoring
Automatically computes a daily quality score for all Contact records—giving you a clear view of your data health at a glance.
Key Takeaways for Users:
Adjust the Criteria Field to include or exclude specific contacts from assessments based on your organizational needs.
Enable Contact Assessment and Continuous Assessment to ensure all contacts are reviewed and updated whenever changes occur.
Configure Contact Reassessment to prevent data decay by setting a reassessment schedule.
Select the fields involved in Quality Score definition by toggling them on or off.
Define the automation rules for automatic data quality remediation
Use Global Scoring to monitor the overall quality of contacts daily.
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