A data access pattern where the bulk of the actions requires poring over multiple records and usually aggregating them. Analysing data-sets often have this pattern as you would need to use the whole data set.
This data is usually processed in batches, thus stale.
If your analytical workload requires fast query responses and live data, real time analytical systems would be a better fit.
If your operations are dependant on some automated analytics, an Analytical Process system might offer a solution.
Event sourcing
Even though event sourcing requires reducing multiple events (records) from an event store, it is not an OLAP process where there is an analytical workload.
Reference
Kleppmann, Martin, and Chris Riccomini. Designing Data-Intensive Applications: The Big Ideas behind Reliable, Scalable, and Maintainable Systems. Second Edition, O’Reilly Media, 2026.