Predictive Analytics Skill

Forecast resource saturation, detect trends, analyze anomalies, and characterize signal behavior using DQL and Dynatrace analyzer tools.

Analysis Disciplines

#	Discipline	Use when …
1	Forecast and Prediction	Predicting future metric values for capacity planning, cost estimation, or proactive alerting
2	Detecting Changes	A metric shifted — find when the character of the signal changed, regardless of whether it crossed a limit
3	Detecting Violations	A metric is currently out of bounds — find entities that exceed or fall below an acceptable range
4	Timeseries Characteristics	Characterizing a signal's seasonality, noise level, and trend before further analysis

The single most important decision: are you asking "did this metric change?" or "is this metric currently wrong?"