trend-analysis

ITSM incident trend analysis identifies and quantifies seasonal patterns, category shifts, and volume trends from ServiceNow data by applying time-series analysis to generate trend reports and anomaly detection guidance.

ITSM capacity forecasting requires a minimum of 90 days of historical incident data from ServiceNow to accurately generate capacity forecasts, quantify predictive indicators, and identify emerging issues.

Trend analysis runs on ServiceNow incident data using MCP tools including SN-Query-Table, SN-NL-Search, and SN-Execute-Background-Script to query datasets and apply time-series analysis for capacity planning and anomaly detection.

Anomaly detection and trend analysis quantify incident category shifts across daily, weekly, and monthly time periods, revealing seasonal patterns and predictive indicators to drive proactive ITSM improvements.

The trend analysis skill operates with zero dependencies and no component requirements, relying entirely on ServiceNow REST endpoints and integrated MCP tools to execute time-series analyses on historical ITSM data.

ITSM capacity planning and resource forecasting apply time-series analysis to 90+ days of historical ServiceNow incident data, generating trend reports that highlight predictive indicators and seasonal volume patterns.