Data Masking is an important part of any organization’s data governance solution. The most common use of data masking is to create test data for non-production environments, such as application development and QA, while protecting personally identifiable, personally sensitive or commercially sensitive data. Development and QA department personnel usually do not have required security clearance to access actual production data. However, in order to create and test robust business applications, they need to work with data sets that closely resemble real-world data. Server Studio provides a number of data masking methods, such as Random Substitution, Substitution from Database objects and Files, Shuffling, Number and Date Variance, Masking Out of text data, and more.