Reporting & Analytics
Reporting & Analytics turns the activity flowing through ServiceCore into dashboards and reports people actually open. Because all 29 modules write to one shared data model, you don't reconcile exports from separate tools — incidents, service requests, changes, problems, assets, SLA timers, and workload all sit in the same store, so a dashboard can span the entire value stream without an integration project. The module reads that store directly and presents it as live tiles, tables, and charts that refresh as the underlying records change.
Built for the way reporting & analytics should work
Reporting & Analytics turns the activity flowing through ServiceCore into dashboards and reports people actually open. Because all 29 modules write to one shared data model, you don't reconcile exports from separate tools — incidents, service requests, changes, problems, assets, SLA timers, and workload all sit in the same store, so a dashboard can span the entire value stream without an integration project. The module reads that store directly and presents it as live tiles, tables, and charts that refresh as the underlying records change.
Every dashboard is built from the same fields your teams already work with. A KPI tile can count open incidents by priority, a chart can trend service request volume week over week, and an SLA view can show target attainment and breaches pulled straight from the Service Level Management timers — no manual tagging or parallel data entry. Filters, groupings, and time ranges are saved per view, so a team lead, a service owner, and an executive each see the slice that matters to them from one definition.
The real value is in following a number back to its cause. Because the data model is relational, a breached SLA links to the incident it sits on, that incident links to the change that triggered it and the configuration item it affected, and the configuration item links to its asset and service. From a single breach tile you can trace the whole chain — change, asset, service, owner — instead of opening five screens. That same join lets you report across modules: mean time to resolve by asset class, request volume by service, or change success rate against incident reopens.
The custom report builder lets analysts assemble new views from any combination of module fields, with grouping, aggregation, and calculated columns, then save them as reusable reports. Finished reports and dashboards can be scheduled — delivered as exports on a recurring cadence to the stakeholders who need them — so nobody chases month-end numbers. Trend and forecast tools project volume and workload forward from historical data, feeding capacity planning and Continual Improvement decisions with evidence rather than gut feel.
- Real-time dashboards
- Cross-module reporting
- Custom report builder
- SLA & KPI views
- Scheduled exports
- Trend & forecast analysis
What you can do with it
Real-time dashboards
Live tiles, tables, and charts read directly from the shared data model and refresh as underlying incidents, requests, changes, and assets change.
Cross-module reporting
Build a single report that joins incident, request, change, problem, asset, and SLA data because every module writes to the same relational store.
Custom report builder
Assemble reusable reports from any combination of module fields with grouping, aggregation, calculated columns, and saved filters.
SLA & KPI views
Surface target attainment, breach counts, and escalation totals pulled straight from Service Level Management timers, broken down by service, priority, or owner.
Scheduled exports
Deliver dashboards and reports on a recurring cadence to named stakeholders so month-end and weekly numbers arrive without anyone requesting them.
Trend & forecast analysis
Project request volume and workload forward from historical data to inform capacity planning and Continual Improvement decisions.
Why teams adopt it
Decisions from evidence
Service owners manage by measured SLA attainment, volumes, and workload instead of anecdote, with every number traceable to its source records.
Root cause in one trace
Following a breach back through the linked change, configuration item, and asset replaces five-screen investigations with a single relational path.
No more report chasing
Scheduled delivery puts the right slice in front of each stakeholder automatically, freeing analysts from recurring manual pulls.
One source of truth
Because reporting reads the same store every module writes to, teams stop reconciling conflicting exports from separate tools.
Where it fits
Weekly service review
A service owner opens a saved dashboard showing SLA attainment, open incident backlog by priority, and change success rate for their service ahead of the review meeting.
Breach investigation
An SLA breach tile is clicked to trace the linked incident, the change that caused it, and the affected configuration item and asset in one path.
Executive month-end
A scheduled export delivers volume, MTTR, and KPI trends to leadership on the first of each month with no manual preparation.
Capacity planning
A team lead uses trend and forecast views on request volume and workload to justify staffing for the upcoming quarter.
Common questions
Yes. All 29 modules write to one shared, relational data model, so the report builder can join incident, change, asset, SLA, and other fields directly — for example mean time to resolve by asset class, or SLA breaches mapped to the changes that triggered them — without any data integration.
Part of these solutions
Related modules
See Reporting & Analytics in action.
Book a demo and we'll show reporting & analytics working alongside the rest of the platform — on one shared data model.