Compare two groups? Find what drives an outcome? Spot a trend? The question decides the statistics — get this wrong and everything downstream is wrong too.
That is the actual report this analysis produces — not a mock-up. Every analysis on this page delivers the same shape of output on your own data.
Every analysis classified under this question.
When did my metric shift?
How many customers churn and which plans or regions separate the ones who leave, with time to churn counting those still active.
How many customers come back after they first arrive, cohort by cohort, and whether newer cohorts retain better than older ones.
Is this process stable over time, and can it hold its specification?
Where a measure is heading from its own history, with a likely range, checked against recent periods the forecast was not shown.
Is there a seasonal pattern, and how big is it?
How long until customers cancel or machines fail, counting the ones it has not happened to yet: Kaplan-Meier curves, medians and hazard
Is this series really rising or falling rather than just moving around?
Where did actuals diverge from budget?
How risky is this series? Rolling volatility, drawdowns, and simple historical VaR.
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