How do you identify seasonality in business data?

< 1 min read

Seasonality can be identified by analyzing historical data over consistent time intervals.
In one project, we plotted monthly sales over several years and saw peaks every December.
Time-series charts and moving averages help highlight repeating patterns.
We also used year-over-year or month-over-month comparisons to confirm cycles.
Statistical methods like autocorrelation can quantify periodic patterns.
Segmentation by region or product can reveal localized seasonal trends.
Consistent, recurring spikes or dips indicate seasonality.
Identifying it helps in forecasting and resource planning.

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