What is seasonality in data?

< 1 min read

Seasonality in data refers to recurring patterns or fluctuations that happen at regular intervals.
In one project, retail sales spiked every December due to holiday shopping.
These patterns can be daily, weekly, monthly, or yearly depending on the business.
Seasonality helps in forecasting by accounting for predictable ups and downs.
Ignoring seasonality can lead to inaccurate predictions or inventory planning.
It’s often analyzed using time-series charts or decomposition techniques.
As a BA, identifying seasonality helps set realistic targets and plan resources.
Overall, seasonality reveals predictable cycles in business metrics.

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