6.5% of incidents caused 80% of the downtime

A real OpsLab statistical audit on anonymized incident data from a bank's payment infrastructure (2022 — 802 incidents over 343 days). Every number below is computed by OpsLab's deterministic engine — never guessed by AI.

• Pareto concentration: Gini = 0.896 (strong) — a small share of incident types drives most of the downtime, so fixing the top few pays off far more than spreading effort evenly.
• 802 incidents over 343 days, with full incident/MTTR/downtime breakdown and a risk-ranked action list in the report.
• Data quality gate: the report also states plainly where the engine found no reliable signal (e.g. no periodic rhythm) — it does not invent a pattern to look impressive.

Want the deeper tier — outage risk forecast, event chains, correlations? See the Granular sample report →