Data Quality Steward view

The Delpha Data Steward Quality View offers an intuitive interface to monitor, clean, and optimize Salesforce data. Filter by field and object, apply smart recommendations to meet high data quality

Data Steward Quality View in Delpha

The Data Steward Quality View is your command center for reviewing and improving the quality of Account and Contact data in Salesforce. It offers field-level diagnostics and smart recommendations to keep your data clean and campaign-ready.

Main Screen Overview

Quality Dashboard with Scores and Recommendations

The navigation in the Data Steward view is aligned with Salesforce’s native List View experience:

• Cog icon: Use the standard cog to manage your views (create, clone, rename, share, select fields to display, delete)

• Filter Icon: Create custom views filtering on a Campaign, an Object, a Field and the score.

• Pinned and Favorite Lists: Find the best view when you need it

By default, you’ll see the “Recently Viewed” records. To unlock the full power of the Data Steward views, we recommend creating your own custom views—tailored filters, field selection, and sharing options give you complete control over your data review

Key Metrics at a Glance

• Total records reviewed

• Average data quality score

• Breakdown of quality indicators: Complete, Valid, Consistent, Accurate

Interactive Tiles

• Click once: Filter for records that pass a dimension (tile turns green)

• Click again: Show records that need fixing

• Click Recommended: Show only records Delpha has suggested improvements for

Row-by-Row Insights

Each record shows:

• Current values

• Field-level quality indicators

• Recommended corrections

• Score & status:

  • Auto Yes – Your value already matches the recommendation

  • Potential – A new recommended value is available

  • Not Found – No suggestion available

  • Failed – Error in analysis

Core Features

Filter by Object & Field

• Choose the object: Contact or Account

• Select the field: Email, Phone, LinkedIn, etc.

6 Data Quality Dimensions

• Completeness, Validity, Uniqueness, Consistency, Accuracy, Timeliness

• Color indicators:

  • Green = Good

  • Yellow = Warning

  • Red = Issue

  • Gray = Not Applicable

Quality Dimensions

Each field is analyzed based on 6 data quality dimensions:

Dimension	Description
Completeness	Is the field filled in?
Validity	Does it follow the expected format or rules?
Uniqueness	Is it duplicated across the dataset?
Consistency	Is it aligned across systems or related records?
Accuracy	Is it factually correct?
Timeliness	Is it up-to-date?

Actions

• Apply: Accept Delpha’s recommendation

• Reject: Ignore and keep the current value

• Delete: Remove the selected record(s) entirely (use with caution)

---

Summary

The Data Steward Quality View gives you:

• A field-by-field diagnosis of your data

• Clear recommendations to fix issues

• Control to apply or reject changes

• Confidence that your data is clean and campaign-ready