Eleven scenarios where latest-state is not enough — where the shape of state over time (sources, keys, phases, thresholds, and known-at boundaries) is the evidence you actually need.
Monitoring and incident management
Track alert, unhealthy, degraded, or missing-signal windows from multiple providers. Compare overlap, provider-only residuals, missed windows, lead/lag, and open incidents at a live horizon.
IoT and industrial telemetry
Record over-temperature, vibration, stale sensor, calibration, or safety-interlock windows. Segment by site, unit, operating mode, or maintenance period without collapsing the original active ranges.
Weather and numeric thresholds
Treat numeric values as window predicates: temperature above 23.5 °C, humidity inside a comfort band, wind gusts over a limit, or pressure changes sustained past a tolerance.
Payments and fraud
Compare risk flags, provider classifications, account states, or enrichment availability. Evaluate decision-point history without leaking future annotations into the analysis.
Logistics and shipment state
Compare carrier, warehouse, customer-facing, and internal pipeline windows for delayed, held, missing-scan, exception, or delivered states. Roll leaf histories up to shipment, route, or depot views.
Distributed systems
Collapse several member lanes into one cohort and compare against a primary lane. Useful for replication audits, quorum health, failover, leader elections, and cross-region state agreement.
Data pipelines
Treat pipeline stages as lanes. Compare when the upstream state was active against staging, enrichment, publication, and downstream observation windows.
Episode analytics · provider evaluation
Stitch short reporting gaps within each provider, then classify shared, split, merged, complex, and unmatched outage occurrences. Keep exact comparison beside it to measure late starts, early recoveries, and inactive gaps.
Analyst question: Is disagreement caused by missed incidents, fragmented reporting, or timing coverage?
Episode analytics · detector evaluation
Treat the labelled or reviewed side as an explicit reference and
use AsReference() for recall and precision. Neutral
target/against summaries remain available when neither side is
authoritative.
Analyst question: Which reference episodes were unmatched, and which detector episodes had no reference relation?
Episode analytics · industrial operations
Preserve every active sensor fragment while stitching brief telemetry gaps into an occurrence envelope. Compare machine, controller, and maintenance lanes without pretending the gaps were active time.
Analyst question: How many downtime occurrences happened, how long did they span, and how much active evidence supported them?
Episode analytics · recorded sessions
Apply an inactivity tolerance to already-recorded windows to form session-like episodes, retain their fragments, and compare session occurrence shapes across lanes or definitions.
Boundary: This analyzes recorded window history; it is not a general event-query or product-analytics session engine.