Experience & AI · Lesson

Performance Analytics

Quick answer

Performance Analytics (PA) answers questions ordinary reporting cannot: how is this metric trending, are we hitting targets, and where is it heading? It does this by snapshotting data over time into time-series indicators.

Key takeaways

Reporting vs PA, the core difference
Indicators, scores and breakdowns
How collection works
The catch: value accrues over time
Where it is used

Performance Analytics (PA) answers questions ordinary reporting cannot: how is this metric trending, are we hitting targets, and where is it heading? It does this by snapshotting data over time into time-series indicators.

Reporting vs PA, the core difference

Reporting

A live query, the state right now. Refresh and the previous value is gone forever.

Performance Analytics

Time series, a value captured each period (a snapshot), so history is preserved and trendable.

Indicators, scores and breakdowns

Indicator

The metric to track (e.g. open P1 incidents, avg resolution time).

Data collection job

Snapshots each indicator on a schedule, producing scores.

Score

One captured value for one date, the raw material of a trend.

Breakdown

Slice an indicator by a dimension (by team, by category, by priority).

Target / threshold

Colour the trend against a goal; drive alerts.

Widget / dashboard

Visualise scoresheets, trendlines, scorecards.

How collection works

nightly data collection job
   for each Indicator:
      run its query  -->  store ONE score for today
                          (optionally per breakdown element)
   over weeks --> a trendline you can forecast & target

The catch: value accrues over time

Because PA snapshots on a schedule, you must start collecting before you can trend. Turn on the indicators you care about early, even if the dashboards come later, you cannot retroactively create history you never captured. (Historic data collection can backfill some indicators, but only where the source data still exists.)

Where it is used

Service-desk analytics, KPIs against SLA performance, executive scorecards, proactive problem trend-spotting, anywhere the question is about direction and targets rather than a current list.

Common mistakes

Using live reports for trends and losing history.
Turning on indicators late, so there is no back-history to show.
Collecting far more indicators than anyone reviews.
No targets, so trends have no "good vs bad" meaning.

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Check your understanding

A KPI you measure in PA is called an:
- A. Indicator
- B. Incident
- C. Article
Show answer
A. Indicator
Indicators are the measured KPIs.
PA differs from reporting because it:
- A. Only shows current data
- B. Captures history and trends over time
- C. Cannot chart
Show answer
B. Captures history and trends over time
PA snapshots data daily to show trends.
Slicing a KPI by group or priority uses a:
- A. Breakdown
- B. Probe
- C. Theme
Show answer
A. Breakdown
Breakdowns split an indicator by dimension.

Frequently asked questions

What does the term Performance Analytics refer to in ServiceNow?

What is the ITSM role of Performance Analytics?

Service-desk analytics, KPIs against SLA performance, executive scorecards, proactive problem trend-spotting, anywhere the question is about direction and targets rather than a current list.

What tends to go wrong with Performance Analytics?

Using live reports for trends and losing history. Turning on indicators late, so there is no back-history to show. Collecting far more indicators than anyone reviews.