What issues arise due to wrong data types?

Parthiban Kannan

Updated on February 9, 2026

< 1 min read

Wrong data types cause calculation and reporting errors in dashboards.
In my project, Sales Amount stored as text couldn’t be summed in KPIs.
Date stored as text prevented time-based aggregations like month or quarter.
Filters and slicers failed or returned unexpected results.
Sorting numeric fields as text gave incorrect order in visuals.
Relationships between tables broke if keys had mismatched types.
Measures like Profit Margin returned blanks or errors.
Data modeling became inconsistent and error-prone.
Business users lost trust when numbers didn’t match source system.
So correct data types are critical for accurate analytics and reporting.