What is slowly changing dimension conceptually?

< 1 min read

A slowly changing dimension handles situations where dimension attribute values change over time.
For example, a customer moved from Chennai to Bangalore but historical sales must keep old city.
If we overwrite the city, past reports show wrong location analysis.
So we store changes with effective dates instead of replacing old data.
In my project, we tracked customer membership status changes this way.
Reports could show revenue before and after upgrade correctly.
It helps maintain historical accuracy for business decisions.
Different methods exist like overwrite, new row, or new column tracking.
Conceptually, it preserves history while still reflecting current data.

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