Segment Data by Multiple Dimensions

Rather than analyzing DEI data in aggregate, organizations should break it down by multiple dimensions such as race, gender, age, disability, and tenure. Intersectional analysis helps identify specific groups that may be underserved or facing unique challenges within the workplace.

Rather than analyzing DEI data in aggregate, organizations should break it down by multiple dimensions such as race, gender, age, disability, and tenure. Intersectional analysis helps identify specific groups that may be underserved or facing unique challenges within the workplace.

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