The validation process is led by a team of data scientists and a combination of machine learning and human validation. PayScale uses 30 hardcoded validation points that could trigger criteria for review, ensuring only the highest quality data makes it through. PayScale also weeds out the outliers and multiple submissions, defending against attempts to “stuff the ballot box” by automatically detecting and rejecting questionable data.
PayScale uses fresh data and smart software to construct and manage your comp strategy, while creating a culture of transparency by empowering managers to communicate pay with employees.
Since 2002, PayScale has built and optimized the largest salary database in the world. This database is monitored and maintained by a team of data scientists who collect, clean, and validate millions of pieces of data on an ongoing basis to ensure you have the most up to date information.