-Clean and explore your dataset
-Organize time series from different sources in same time period for seasonality/trend analysis
-Look for outliers and anomalies
-Extract questions about the behavior to understand underlying root causes
-Research for other sources of information to add features to explain that behavior
-Test ML models to tune a model to predict future behaviors
-Plot the analysis conclusions and build a presentation for a clean business storytelling