Standard deviation analysis often misses seasonal patterns unique to Thailand's business calendar. Songkran, Chinese New Year, and monsoon season all create predictable shifts that look like anomalies if you're not watching for them.
The trick isn't just noting these events exist. It's quantifying their impact across different business types. A tourism-focused company sees entirely different seasonal curves than agricultural suppliers, even though both operate in the same economy.
We spend two weeks on building seasonal baseline models. Students take actual company data (anonymized) and identify which deviations represent genuine problems versus expected fluctuations. It's tedious work but necessary.