Abstract: During an analysis technique, organization data for an organization (such as a company) and a set of potential predictors for retention are analyzed to generate Kaplan-Meier estimator curves. Then, clustering analysis is performed to determine natural groupings of Kaplan-Meier estimator curves. Note that the retention data may include, as a function of time, retention probabilities that the individuals remain in functions in an organization and a set of potential predictors for the retention probabilities. Moreover, the predictors for retention in the set of potential predictors are identified based on the determined natural groupings. For example, the identified predictors may be those for which at least two natural groupings have a large centroid separation. Furthermore, the identified predictors for retention may be used to determine remedial action to increase the retention probabilities.

Abstract: A collapsed cloud proximal to the user of a client device determines, stores, and provides access to content needed by the user or group of users. Content needed by the user is pushed into one or more access points that a client device is accessing or is expected to access. The client device accesses the content via local access to the access point(s) that it connects to, access relevant content from the local storage of the access point that it connects to as it moves.