Delpha Data Quality Field Pack for Salesforce

Learn how Delpha augments Salesforce with companion fields to assess six data-quality dimensions and surface normalized/recommended values with confidence and status.

Delpha Data Quality — Overview

• Delpha evaluates data quality across six dimensions.

• For every field monitored, Delpha adds a standard set of companion fields to the object.

  • Labels start with “D”.

  • API names start with delpha__DDQ_Quality.

Delpha Data Quality Analysis (per targeted field)

Existing records are assessed on the six dimensions, with one dedicated field per dimension on the target object.

For each field you monitor (shown here as {TargetedField}), Delpha creates one field per dimension plus an overall score:

• delpha__DDQ_QualityTargetedFieldCompleteness__c — Boolean — Completeness

• delpha__DDQ_QualityTargetedFieldValidity__c — Picklist (Valid, Invalid, Unknown) — Validity

• delpha__DDQ_QualityTargetedFieldUniqueness__c — Number (count of occurrences in the org) — Uniqueness

• delpha__DDQ_QualityTargetedFieldConsistency__c — Boolean — Consistency

• delpha__DDQ_QualityTargetedFieldAccuracy__c — Picklist (Ok, No, Unknown) — Accuracy

• delpha__DDQ_QualityTargetedFieldTimeliness__c — String — Timeliness

• delpha__DDQ_QualityTargetedFieldScore__c — Number — Overall quality score for {TargetedField}

Delpha Recommendation

• delpha__DDQ_QualityTargetedFieldNormalized__c — Same type as {TargetedField} — Value after normalization

• delpha__DDQ_QualityTargetedFieldRecommended__c — Same type as {TargetedField} — Value recommended by Delpha

• delpha__DDQ_QualityTargetedFieldRecommendedScore__c — Number — Confidence score for the recommendation

Delpha Support fields

• delpha__DDQ_QualityTargetedFieldRecommendedStatus__c — Picklist — Current status / decision context

• delpha__DDQ_QualityTargetedFieldLastUpdated__c — DateTime — Last analysis timestamp

• delpha__DDQ_QualityTargetedFieldPreviousStatus__c — Number — Previous value of …RecommendedStatus__c

Delpha may add small, field-specific adjustments to improve fit:

• Expanded picklists: Certain targeted fields can include extra values beyond the defaults.

  • Examples: Accuracy for email will add Changed.

• Extra support fields: Additional metadata can be stored to explain or audit decisions.

  • Examples: for Ultimate

    • delpha__DDQ_QualityUltimateComments__c (Text) — why a recommendation was made

These extensions are optional, scoped to specific targeted fields or use cases, and remain compatible with the core six-dimension model.

Beyond Quality: Delpha Engagement Metrics

While the core Data Quality Field Pack focuses on the health and accuracy of your records (assessing the six dimensions of data quality), Delpha also generates a companion set of Engagement Metrics.

These calculated fields—such as D Email Count, D Call Count, and D Opportunity Count—automatically measure the actual activity and sales momentum happening on your Leads, Contacts, and Accounts. By combining Data Quality scores with these Engagement Metrics, your sales and support teams get a complete, 360-degree view of a record's value directly within Salesforce.

👉 Read the guide on Delpha Engagement Metrics here to see the complete list of available calculated fields.