> For the complete documentation index, see [llms.txt](https://docs.ovaledge.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ovaledge.com/release7.2/dashboards/data-quality-last-execution-dashboard.md).

# Data Quality Last Execution Dashboard

The Data Quality Last Execution Dashboard provides insights into the total number of objects associated with different dimensions. It categorizes objects based on their data quality status, allowing data analysts to track data integrity and performance across multiple dimensions.

This report is essential for evaluating data quality across dimensions. By showcasing object validation results, it helps data teams identify issues and take corrective actions to improve data integrity. Additionally, it retrieves the most recent execution ID for each object and rule to ensure that only the latest validation results are considered.

### Execute the Advanced Job for the Dashboard

1. Navigate to Administration > Advanced Jobs.
2. In the Name column, search for 

   1. Build DashboardStats  
   2. Enable system dashboards

   <figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXeni_bPsrgD-TY1nUtS9tI0Wueq1FPOad2pw2F7_cQK5-E4a6GCF71n2s7I_Axv04ljSwhJqyZt-l-JJiAkBNtiXMrw0IVBECl28R-_jn7fQp1xj6xKRwjfe4x9qyuhmJKcjrld4A?key=X6kUPx3teEjaqtT5hVkT1IF3" alt=""><figcaption></figcaption></figure>
3. Select the Advanced Job.
4. Click Run Advanced Job to trigger the job.
5. Monitor the Job Home Page for the execution status.
6. Once the job executes successfully, the reports will be generated and displayed under Data Catalog Reports.

   <figure><img src="https://lh7-rt.googleusercontent.com/docsz/AD_4nXeBNUeb16imARfcqG9LsAH39paqk5Nau1u_Cvp_IRqEjpjOa9JrNu6SqTn4xUghzjQGkkAuCG79Y9L87DS0ItK3ThaCbcLu4ccTpwoYnQ7vwS5R4vnOhtc-O2QF1Ifhf1dVIVfG?key=VTFj6o4PEh4-7qMuY5FTFA" alt=""><figcaption></figcaption></figure>

### **Purpose**

* Display the total count of attributes associated with each dimension.
* Categorize attributes based on data quality status into:
  * Passed
  * Failed
  * Execution Failed
  * Undetermined
  * Total
* Retrieve the most recent execution ID for each object and rule.
* Ensure that only the latest validation result is used.

### Key Performance Indicators (KPI)

| KPI Metric                             | Description                                                                          |
| -------------------------------------- | ------------------------------------------------------------------------------------ |
| Successful Object Validations (Passed) | Counts the number of objects (columns) that successfully met data quality standards. |
| Failed Object Validations              | Represents the number of objects that did not pass data quality checks.              |
| Total Object Validations               | Measures the total number of objects assessed for data quality.                      |
| Execution Failures                     | Tracks validation failures caused by execution errors.                               |
| Undetermined Objects                   | Identifies objects with inconclusive validation results.                             |


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