Abstract: A computer-readable medium, computer-implemented method, and apparatus are provided. In one embodiment, financial data is extracted from a financial manager, and the financial data is mapped to compliance data from a compliance manager. One or more controls of one or more accounts from compliance data is selected to be in scope, and an assessment plan is created for the selected one or more controls within scope.

Abstract: One or more computers retrieve records of transactions to be analyzed together. Each record identifies a date of a transaction, an amount of the transaction, a person associated with the transaction, and a category into which the transaction is classified. The one or more computers automatically prepare in computer memory, a set of tuples (also called “vectors”) corresponding to a set of persons identified in the retrieved records. Each tuple corresponds to one person, and each tuple includes at least one number representing a count within each category, of transactions classified therein, e.g. total number of cash transactions in category X. Then, the one or more computers automatically identify a subset of outliers, e.g. by grouping the tuples into clusters using k-means clustering, followed by marking in memory an indication of inappropriateness of any transaction that had been included in the count of a tuple now identified to be outlier.

Abstract: A computer-readable medium, computer-implemented method, and apparatus are provided. In one embodiment, financial data is extracted from a financial manager, and the financial data is mapped to compliance data from a compliance manager. One or more controls of one or more accounts from compliance data is selected to be in scope, and an assessment plan is created for the selected one or more controls within scope.