Delpha Score Meter

The Delpha Score Meter provides a clear 0–100 quality score based on six dimensions, helping you assess, prioritize, and improve Salesforce data accuracy and reliability at a glance.

What You Can Do in the Score Meter

The Score Meter is your all-in-one command center for data quality. It helps you understand, review, and apply improvements — all in a single, intuitive interface.

1. Understand Your Data Quality at a Glance

  • See your overall quality score for the selected object (e.g. Accounts, Contacts).

  • The score is visually represented with a color-coded gauge for quick assessment.

  • The number of available recommendations is clearly listed.

Delpha Quality Score

2. Review Suggestions Inline

  • View AI-generated recommendations directly from the Score Meter.

  • Each recommendation includes:

    • A confidence score based on the data quality dimensions

    • Extra information to help the decision

  • You can expand or collapse details for quick scanning or deep inspection.

You access this view clicking on the number of recommendations link or navigating in the Score Meter component using the 'next page' sign (>).

3. Apply Changes — Your Way

  • Choose how to apply recommendations:

    • One by one

    • Bulk select multiple items

    • Accept all suggestions in one click

Score Meter - Review and Apply

What the Score Represents

The score is based on six key data quality dimensions, evaluated field by field:

Dimension
Meaning

Completeness

Is the value present or missing?

Validity

Does the data follow the correct format or rules?

Uniqueness

Is this value duplicated elsewhere in the system?

Consistency

Is the data coherent across fields or systems?

Accuracy

Is the value correct (factually or logically)?

Timeliness

Is the information still relevant and up-to-date?

Each field within the record is evaluated and color-coded:

  • Red – Poor

  • Orange – Warning

  • Green – Good

  • Grey – Not applicable / no data

Why It Matters

The score helps you:

  • Quickly assess trustworthiness of a record

  • Decide whether to clean, enrich, or reject the data

  • Track data quality improvements over time

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