Abstract: Systems and methods for replacement planning and management are provided. The method includes processing data specific to one or more users, identifying replacement for a predecessor in a particular position in an entity based on the data, identifying, one or more replacement patterns from replacement pattern datasets across platforms based on one or more attributes associated with the particular position. In an embodiment, one or more attributes may include at least one of records of the one or more users, one or more predecessor successor relationships specific to the particular position for a specified period. The method further includes generating one or more rules based on the identified replacement patterns and domain knowledge pertaining to the particular position, identifying successors across platforms from the one or more users based on the generated rules, and generate a list of plausible successors across platforms from the successors for replacement of the predecessor.

Abstract: This disclosure relates generally to employee assessment, and more particularly to identification of high potential employees. A method and system is provided for identifying employees with high potential. The present method and system for selecting a set of employees for testing and then selecting attributes of the employees using various feature extraction techniques. Thereafter, the method includes combining attributes selected from the feature extraction techniques. After combining the attributes, the method may include utilizing a classification or ranking model to label employees as high and non-high potential employees. Further, the method includes receiving attributes and a reference set of employees from a user. Thereafter, a distance based approach is utilized to identify high potential employees.