We can expect that a large percentage of telemetry concerning user data will have periodic/seasonal similarities—web traffic, retail transactions, movie watching, and many other user behaviors have very regular and surprisingly predictable daily, weekly, and yearly patterns. This enables us to be able to detect situations that vary from historical norms, such as when our order transaction rate on a Tuesday afternoon drops to 50% of our weekly norms.
