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			* DOCS - Prepare 1.7 Release and 1.8 SNAPSHOT * DOCS - Prepare 1.7 Release and 1.8 SNAPSHOT
		
			
				
	
	
		
			159 lines
		
	
	
		
			4.5 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
			
		
		
	
	
			159 lines
		
	
	
		
			4.5 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
| ---
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| title: Service Insights Overview
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| slug: /how-to-guides/data-insights/service-insights
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| ---
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| 
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| # Service Insights
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| 
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| Users can view insights for individual services using the Service Insights tab. This guide provides an overview of the available charts and outlines troubleshooting steps when no data is displayed.
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| 
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| ## Total Data Assets
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| 
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| This chart displays the total number of data assets within a service, categorized by asset type. For example, in a database service, it shows the count of tables, databases, database schemas, and stored procedures.
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| 
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| {% note %}
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| 
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| If no data is displayed, ensure that the metadata ingestion pipeline has been executed successfully.
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| 
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| {% /note %} 
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| 
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| ## Description Coverage
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| 
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| This chart shows the percentage of data assets that have a populated description field.
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| 
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| {% note %}
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| 
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| If no data is displayed, verify that both the metadata ingestion pipeline and the data insights pipeline have been executed successfully.
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| 
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| {% /note %} 
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| 
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| ## PII Coverage
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| 
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| This chart displays the percentage of data assets containing columns tagged with Personally Identifiable Information (PII) tags.
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| 
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| {% note %}
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| 
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| If the chart does not show any data, ensure that both the Auto Classification pipeline and the Data Insights pipeline have been successfully executed.
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| 
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| {% /note %}
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| 
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| ## Tier Coverage
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| 
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| This chart displays the percentage of data assets where tier classification has been populated.
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| 
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| {% note %}
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| 
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| If the chart shows no data, verify that the Auto Tiering pipeline (Collate only) and the Data Insights pipeline have been executed successfully.
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| 
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| {% /note %}
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| 
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| ## Ownership coverage
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| 
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| This chart shows the percentage of data assets that have a populated owner field.
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| 
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| {% note %}
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| 
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| If no data is displayed, verify that both the metadata ingestion pipeline and the data insights pipeline have been executed successfully.
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| 
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| {% /note %}
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| 
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| {% image
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| src="/images/v1.7/how-to-guides/insights/service-insights1.png"
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| alt="Platform Insights"
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| caption="Platform Insights"
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| /%}
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| 
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| {% collateContent %}
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| 
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| # Generated Data with Collate AI (Collate Only)
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| 
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| This table displays a breakdown of metadata populated by the Collate AI agent versus metadata populated manually.
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| 
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| {% note %}
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| 
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| If the table shows no data, ensure that the Auto Classification pipeline, Auto Data Quality (DQ) pipeline, Auto Tiering pipeline, Collate AI application, and Data Insights application have been executed successfully.
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| 
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| {% /note %}
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| 
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| {% image
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| src="/images/v1.7/how-to-guides/insights/service-insights2.png"
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| alt="Generated Data with Collate AI"
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| caption="Generated Data with Collate AI"
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| /%}
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| 
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| ## PII Distribution
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| 
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| This table displays a breakdown of data assets categorized by their associated PII (Personally Identifiable Information) tags.
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| 
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| {% note %}
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| 
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| If the table shows no data, verify that both the Auto Classification pipeline and the Data Insights application have been executed successfully.
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| 
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| {% /note %}
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| 
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| ## Tier Distribution
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| 
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| This table provides a breakdown of data assets based on their assigned Tier classification.
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| 
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| {% note %}
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| 
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| If the table displays no data, ensure that the Auto Tiering pipeline (Collate only) and the Data Insights application have been executed successfully.
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| 
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| {% /note %}
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| 
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| {% image
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| src="/images/v1.7/how-to-guides/insights/service-insights3.png"
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| alt="PII & Tier Distribution"
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| caption="PII & Tier Distribution"
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| /%}
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| 
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| ## Most Used Data Assets
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| 
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| This table displays the top five most frequently accessed data assets, determined by their usage percentile.
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| 
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| {% note %}
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| If the table shows no data, verify that the usage pipeline has been executed successfully.
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| 
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| {% /note %}
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| 
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| {% image
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| src="/images/v1.7/how-to-guides/insights/service-insights4.png"
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| alt="Most Used Data Assets"
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| caption="Most Used Data Assets"
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| /%}
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| 
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| ## Most Expensive Queries
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| 
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| This table displays the top queries based on the cost of query execution.
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| 
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| {% note %}
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| 
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| If the table shows no data, verify that the usage pipeline has been executed successfully. Additionally, not all connectors support extracting query cost—ensure that your connector supports this feature.
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| 
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| {% /note %}
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| 
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| {% image
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| src="/images/v1.7/how-to-guides/insights/service-insights5.png"
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| alt="Most Expensive Queries"
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| caption="Most Expensive Queries"
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| /%}
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| 
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| ## Data Quality
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| 
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| This chart shows the percentage of data assets that have one or more data quality tests configured.
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| 
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| {% note %}
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| 
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| If no data is displayed, verify that the data quality pipeline and the data insights pipeline have been executed successfully.
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| 
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| {% /note %}
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| 
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| {% image
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| src="/images/v1.7/how-to-guides/insights/service-insights6.png"
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| alt="Data Quality"
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| caption="Data Quality"
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| /%}
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| 
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| {% /collateContent %}
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