Abstract: A risk management system may include a memory system that may contain a plurality of risk software objects, each of which represents a risk associated with an enterprise and which is configured to contain attributes and methods. The memory system may include a plurality of non-risk software objects, each of which represent something associated with the enterprise other than a risk, as well as a relationship between one of the risk software objects and one of the non-risk software objects. A computer processing system may be configured to manage the software objects and the relationship. Relationships may also be with workflow processes. Numerous variations, as well as related processes and computer-readable media are also disclosed.

Abstract: A method for the scaling of data is provided. An exemplary use of the disclosed embodiments involves the scaling up in size or the scaling down in size of computer images. n-dimensional transformed data representing some original n-dimensional real data is received. An m-dimensional inverse transform on the n-dimensional transformed data is performed to produce hybrid data, where 1?m<n. The hybrid data is scaled in p dimensions to produce scaled hybrid data representing a desired p-dimensional change in the n-dimensional real data where p?m. Finally, an m-dimensional forward transform is performed on the scaled hybrid data to produce n-dimensional scaled transformed data.