A great deal of data is being produced and accumulated in relation to education, from elementary education, secondary education, higher education, and even lifelong education. The Ministry of Education is generating information from these data and using it to establish effective education policies and make decisions based on data. To provide customized education to students and pursue stable social advancement through education, it is important to confirm what kind of social advancement path an individual who received secondary education takes after going through higher education. In this paper, we propose a model that creates new information by combining pseudonymized information, which is the sensitive part of personal information, with a salt key applied to the combined key. We applied this model to university graduate data and school advancement and employment data to confirm which university each graduate went to or which company he or she was employed at, and which graduates did not go on to school or get a job even though they graduated from university. To combine pseudonymized information, a legal basis such as the “Personal Information Protection Act” must be established, and data from a public database such as a public database must be easy to utilize.