Abstract: Systems, methods, and other embodiments associated with entity mapping. According to one embodiment, a method comprises generating trees based, at least in part, on data. The data is associated with dimensions. A tree includes nodes that are not defined by the dimensions of the data. The method further includes performing statistical tree analysis to calculate results for the trees. The statistical tree analysis is performed independent of the dimensions of the data. A table of a composite result set is created by unionizing the results for the at least two trees. The nodes of the trees are parsed based, at least in part, on the composite result set. The at least two trees can then be visually displayed.

Abstract: Systems and methods for identifying and reducing the risk of adverse balance diminishment through the analysis of characteristics of customers associated with past incidences of adverse balance diminishment are described. By processing information relating to the behavior and characteristics of customers whose balances at a financial institution have previously exhibited adverse balance diminishment, a meaningful predictive model of adverse balance diminishment can be constructed. The predictive model can then be used to identify opportunities for a financial institution to take preventative measures to reduce the risk of adverse balance diminishment among its customers.

Abstract: A method for analyzing interactions of a customer with an organization includes obtaining data regarding interactions of the customer with the organization. The data is obtained from a plurality of sources and aggregated into a plurality of categories. Using a data model, a value for aggregated data in a category at a time period is predicted. An actual value for the aggregated data for the category at the time period is obtained. A determination is made as to whether a difference between the value predicted for the aggregated data for the category and the actual value for the aggregated data for the category exceeds a threshold. When the difference between the value predicted for the aggregated data for the category and the actual value for the aggregated data for the category exceeds the threshold, one or more actions is taken regarding the customer.

Abstract: Systems, methods, and other embodiments associated with entity mapping. According to one embodiment, a method comprises generating trees based, at least in part, on data. The data is associated with dimensions. A tree includes nodes that are not defined by the dimensions of the data. The method further includes performing statistical tree analysis to calculate results for the trees. The statistical tree analysis is performed independent of the dimensions of the data. A table of a composite result set is created by unionizing the results for the at least two trees. The nodes of the trees are parsed based, at least in part, on the composite result set. The at least two trees can then be visually displayed.