Asset Details

The Asset Details page shows the reliability, quality, and freshness of a single asset. Use it to review profiling results, applied policies, and trends, and to find the columns that need attention.

Access the Asset Details page

To open the Asset Details page:

In the left navigation, select Data Observability Cloud > Discover > Assets.
Search for or browse to the asset.
Click the asset name.

Overview tab

The Overview tab summarizes the asset’s current health and trends. To profile the asset or add a policy, click Actions.

Key metrics

The top of the tab shows the following metrics:

Data Reliability Score: The overall health of the asset, computed using the scoring methodology configured under Settings > Data Reliability > Score aggregation methodology (Policy Based Simple Averaging, Rule Based Simple Averaging, or Rule Based Row Weighted Averaging). The score reflects each rule's or policy's most recent execution result and is not scoped to a time period. This score is shown consistently across the Asset Overview, Policies tab, Discover Assets, Reliability Explorer, and Data Products. For more information, see Score Aggregation Methodology.
Data Freshness: How up to date the asset is compared to its expected schedule.
Data Quality: Aggregated score based on rule evaluation and policy success rates.
Data Anomaly, Reconciliation, Data Drift, Schema Drift: The results of each of these policy types, if configured.
Last Profiled: The date and time of the most recent profiling run.
Data Quality — Scores by Dimension: The Data Quality score for each dimension, such as Completeness and Validity.

Trend charts

Performance Trend: Shows the asset’s reliability score over time. To change the period, select a date range, such as Last 30 days.
Freshness Trend: Displays data freshness intervals, showing how frequently the dataset was updated and when delays occurred.

Column-Level Data Quality reporting

The Column Details table shows the Name, Data Type, Reliability Score, and No. of Rules for each column in the asset.

Behavior

Column-level results appear after a policy execution run completes.
Only columns that are part of an active Data Quality policy display rule counts and reliability scores.
The table reflects the most recently profiled version of the asset.
Metrics automatically refresh when new profiling or policy runs complete.

Example

In the EMPLOYEES asset:

The Performance Trend shows changes in reliability over time.
The Freshness Trend tracks when data was last updated.
The Column Details table lists fields such as BIRTHDATE, EMAIL, ID, and NAME, along with their data types, reliability scores, and number of rules.

Navigation tabs

In addition to Overview, the Asset Details page has the following tabs in the left pane:

Tab	Purpose
Pipelines	Lists the pipelines that include the asset, with a summary of pipeline run status, alert severity, and policy results. This tab appears only for assets that are part of a pipeline.
Policies	Lists the policies applied to the asset, such as Data Quality, Reconciliation, Data Freshness, Data Anomaly, Data Drift, and Schema Drift policies. Includes details such as policy status, quality score, open alerts, and execution history.
Cadence	Shows the frequency and trend of asset updates over time. Also includes derived metrics such as change in asset size, row count, and rows added per hour.
Profile	Displays profiling statistics for each column, such as distinct counts, null percentages, patterns, and data type–specific metrics. Helps assess data structure and quality readiness.
Sample Data	Shows sample records from the asset. You can refresh cached data or retry fetching samples if unavailable.
Segments	Allows creation and management of column-based segments by selecting distinct column values. Useful for analyzing specific data subsets.
Lineage	Displays upstream and downstream data relationships. You can manually add lineage by specifying lineage type, target asset, and process details.
Relationships	Visualizes logical asset hierarchies and parent-child connections, such as source → database → schema → table. Helps in navigating organizational data structures.
Schema Changes	Tracks and compares schema snapshots over time to detect column additions, deletions, or modifications.
Metadata	Displays and manages metadata, including owner, team, description, tags, labels, and user-defined template (UDT) variables. Supports automated description generation.
Settings	Provides profiling configuration options such as engine selection, column scope, pattern detection, notifications, scheduling, and advanced performance settings.
Query Logs	Lists query activity for the asset, including query text, timestamp, type, and user. Includes access information, row count trends, and most associated tables.
Asset Similarity	Lists assets with similar schema or content, along with their % Similarity Score. Helps identify redundant or related assets for governance and optimization.