Leaders should employ intersectional data analytics to understand how different identity groups experience organizational policies and practices. By collecting and analyzing disaggregated data across multiple identity categories on a global scale, leaders can identify systemic barriers and opportunities to tailor interventions that address unique challenges faced by marginalized communities.
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