  In order to step up diversity efforts, organizations often start with people analytics to pinpoint where to intervene. But as organizations take a data-driven approach to identifying areas of change, many encounter one issue: they have a great deal of data about the experiences of certain groups, but far less on others. An organization may be able to tell a clear story about how women in general are faring, or may be able to discuss the experiences of people of color broadly, but what about Asian women compared to Black women, or Hispanic men compared to white men? With such limited data, many companies revert back to broad categories (e.g. "all women") as they structure diversity initiatives. 