Project examining pay discrepancies based upon accessing publicly available data and an all-too common real-world scenario, i.e., Male and Female pay-gaps.
"Human Resource analytics (HR analytics) is an area in the field of analytics that refers to applying analytic processes to the human resource department of an organization in the hope of improving employee performance and therefore getting a better return on investment. HR analytics does not just deal with gathering data on employee efficiency. Instead, it aims to provide insight into each process by gathering data and then using it to make relevant decisions about how to improve these processes" - Techopedia.
In America, on average, women earn .82 cents to $1.00 for a man (note: this figure gets worse or better depending on race).
Orientation
In reality, data is only as 'useful' as any given organization's approach to examining it as objectively as possible and acting upon it accordingly. Yet, even with access to X-data and the opportunity to conduct an analysis (ideally, to make better informed data-driven decisions) institutional-inertia and/or even something with the inherent bias of a statement such as, "my gut tells me" (by a 'key' decision-maker) can lead to less than ideal outcomes (including the latest corporate-gaslighting, i.e., 'quiet quitting.')
Sources:
Women Earn Around 37% Less Than Men - 6 surprising facts about the global gender pay gap. (2022, March 8). World Economic Forum.