Intervals are not abstractions – they are commitments
An interval is not just a time window.
It is a commitment.
A commitment to:
- what is included
- what is excluded
- and what can be compared
Why intervals define meaning
Most industrial analysis happens over intervals.
Batches. Recipe phases. Campaigns. Shifts.
If the interval is wrong, everything built on top of it is misleading.
Frequency, aggregation, and statistics only make sense after the interval is correct.
Interval choice is an architectural decision
Choosing an interval defines:
- which events matter
- which signals are relevant
- and which conclusions are allowed
That choice cannot be postponed to analytics.
It must be made where process knowledge exists.
