# Data Quality Steward view

## 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

<figure><img src="/files/c0HpF3yBURckVv3snqAw" alt=""><figcaption><p><strong>Quality Dashboard with Scores and Recommendations</strong></p></figcaption></figure>

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.&#x20;
* **Pinned and Favorite Lists**: Find the best view when you need it

{% hint style="info" %}
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
{% endhint %}

### **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)

***

{% hint style="success" %}

#### 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
  {% endhint %}


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