What the data is actually for
Is it being adopted?
Module-level and site-level usage shows where the platform has landed and where it has not. A department that never approves in-system is usually still running the old process alongside it.
Has self-service worked?
Employee take-up of leave applications, payslip access and help-desk tickets is the clearest signal of whether HR has actually got its time back — or just moved the work.
Are the connections alive?
Integration health surfaces the failure mode nobody notices: a device that stopped syncing, an accounting push that silently errored, a job-board feed that quietly expired.
Is it improving?
Trend over time matters more than any single reading. Adoption that climbs for three months and then flattens is telling you something specific about where it stopped.
What we will and will not claim
Usage data can support an honest ROI conversation, and it is worth being precise about how. What the platform can show you is real: hours logged against manual processes before and after, cycle time on approvals, ticket volume and resolution time, how much of the month-end close still needs a person.
What it cannot do is hand you a single number that proves value. Any vendor dashboard that produces one has made assumptions about your cost base that you did not make. We would rather give you the underlying measures and let your finance team apply their own rates.
The most useful reading is usually the least flattering one — the site where adoption never took, or the integration nobody noticed had stopped. That is where the next improvement is.