What does data transformation mean in analytics projects?

< 1 min read

Data transformation means converting raw source data into analysis-ready structured format.
We cleaned null values, corrected data types, and standardized date formats.
In my project, multiple product codes were mapped to a single business category.
We derived new fields like profit = revenue minus cost.
Columns were renamed to business-friendly names for users.
Data from CRM and billing systems were merged into one dataset.
Outliers and invalid records were filtered during preparation.
Transformations were done in Power Query before loading model.
This made dashboards consistent and easier to understand.
So transformation prepares raw data for meaningful reporting and KPIs.

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