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The Exception Dashboard provides a real-time view of exception record health across the organization. Navigate to Analytics → Exception to access it. All data is live — the dashboard queries exception records directly without relying on scheduled aggregation jobs. KPI cards and charts always reflect the current state of the exception table.

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AI Summary

At the top of the dashboard, an AI-generated summary calls out the most important signal in the current filter/date range in plain language — for example, flagging a high volume of open exceptions, an unusually old average age, or a slow resolution rate — and points to which widget to check first.
Exception Dashboard AI summary and the Open Exceptions, Resolved Exceptions, and Average Age (Open) KPI cards

The AI summary and KPI cards at the top of the Exception Dashboard.

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KPI cards

Average Age is measured from the time a record was first created. The aging clock freezes when a record is resolved — the frozen timestamp is used for historical average calculations.

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Charts

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Status distribution — all exceptions

A donut chart showing the proportion of records in each status (New, In Progress, Ready for Review, Blocked, Resolved, Rejected, Re Open, Auto Resolved), with a legend showing the count for each. Statuses with no records are left out of the legend.
Status distribution donut chart next to the Exception count by metric table

Status distribution (left) and Exception count by metric (right).

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Exception trend

A time-series line chart showing daily counts across three lines:
  • Open — records created per day that remain unresolved
  • Resolved — records manually resolved or closed per day
  • Auto Resolve — records the system automatically resolved per day
Use this chart to see whether your remediation rate — manual or automatic — is keeping pace with new exceptions or falling behind over time.
Exception trend line chart showing Open, Resolved, and Auto resolve daily counts

Exception trend — open vs resolved.

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Exception count by metric

A table ranking the metrics generating the most exception records, with columns for the metric, its asset, and its source. Useful for spotting which metrics are the noisiest sources of exceptions.

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Top stewards by open exceptions

A table showing which exception owners have the most open records and the longest average age: Use this to identify overloaded stewards, remediation bottlenecks, or a large unassigned backlog.
Top stewards by open exceptions and Oldest unresolved exceptions tables

Top stewards by open exceptions (left) and Oldest unresolved exceptions (right).

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Oldest unresolved exceptions

A table showing which metrics have the oldest outstanding exception records: Sorted by age descending — metrics at the top have records that have been open the longest.

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Filters

Apply filters to scope the entire dashboard to a subset of your data:
Exception Dashboard filter bar with Domain, Application, Product, Tag, Source, Asset Type, Segment, Asset, Date Range, Slice By, Previous Period, and Member filters

The filter bar. Highlighted chips have a default value.

All charts and KPI cards update simultaneously when a filter is applied.

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Previous Period

Each KPI card has a badge such as -2336 vs 14355 prior week: the change, then the prior value, then the window it comes from. Previous Period decides which windows are compared. Example from the QA portal with Match Slice By and Slice By = Week: Open Exceptions 12.019K with -2336 vs 14355 prior week, Resolved Exceptions 1 with -23 vs 24 prior week, and Average Age (Open) 2.3d with -2.9% vs 5.2d prior week. Figures are illustrative. For how the same filter behaves on the other Analytics tabs, see Previous Period and the KPI badges.

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Drill-through to records

Click a KPI card or a row in a table (e.g. a metric in Exception count by metric, a steward, or a metric in Oldest unresolved exceptions) to navigate directly to the Exception Records page with the corresponding filters pre-applied.