Abstract: A system and method for collecting, analyzing, assessing, and managing financial data of prospective, enrolled, and former students of an educational institution is provided. Student data and credit data corresponding to the students may be analyzed to create a compliance profile. Loan default likelihood factors may be determined based on the compliance profile. The students may be segmented into sub-populations based on the factors, the student data, and the credit data, and a risk baseline including risk criteria may be determined based on the segmentation. Prospective student leads may be screened for their repayment ability risk by utilizing the risk criteria to assist the educational institution in making financial aid and admissions decisions. A student loan portfolio may be assessed based on the risk criteria and credit data to identify at-risk accounts and to prioritize collections activities for past due accounts.

Abstract: A system and method for automated dispute resolution of credit data is provided. A consumer may receive a credit report from a credit bureau through a third party system. The consumer may submit a dispute including disputed credit data and corrections to the disputed credit data, if there is believed to be erroneous information in the credit report. An applicable member institution that supplied the disputed credit data may accept or reject the dispute. If the dispute is accepted, the current version of the disputed credit data may be retrieved and compared to the submitted disputed credit data. If the current and submitted versions of the disputed credit data match, then the disputed credit data may be updated with the corrections.

Abstract: A system and method for detecting changes in data records based on summary values calculated on input data and existing data in a database is provided. An input data record including indicative data and financial data may be received. The indicative data may be normalized. A summary value may be calculated based on the normalized data to determine if any differences between the input record and existing data exist. If an existing summary value corresponding to the input record does not exist, the calculated summary value and financial data may be stored. If an existing summary value corresponding to the input record exists, the calculated summary value and the existing summary value may be compared to determine if they are equivalent. The calculated summary value and financial data may be stored if the summary values are not equivalent. The financial data may be stored if the summary values are equivalent.