Abstract: A computer-implemented method is disclosed. The method comprises using a plurality of digital features corresponding to each of a plurality of resources to build a digital model for predicting resource attrition. Each digital feature has at least a level attribute, an interval attribute, and an aggregate attribute. At least one of the plurality of digital features has a level attribute having a value of corporate. At least one of the plurality of digital features has an interval attribute having a value of until the end of the year. The output of the digital model is whether a resource is disassociated from a corresponding business entity within a certain period of time from the corresponding time point.

Abstract: A computer-implemented method of automatically identifying datasets predictive of potential resource attrition is disclosed.

Abstract: A data processing method comprises receiving a request to analyze a relationship between an explanatory element and a response element and obtaining, in response to the request, data associated with the explanatory element and the response element. The method further comprises determining coefficients for an equation and storing the coefficients in digital computer memory by: computing, using a plurality of processes in parallel and for each of the coefficients, summations derived from a zero first derivative of the equation with respect to each of the coefficients, computing a value for each of the coefficients using the summations, determining, in response to the computing, a vector of response element values in the digital computer memory using the value of each of the coefficients and values representing the explanatory element as input, and causing displaying a trend graph of the relationship.