Tech organizations can utilize intersectional data analysis to uncover wage disparities not only by gender but also by race and ethnicity simultaneously. This nuanced data allows for identifying which groups are most affected, revealing, for example, that Black women or Latina women earn differently than their white female or male counterparts, thereby facilitating more precise interventions.
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