Abstract: Systems and methods for deriving workforce activity and behavioral insights from data exhaust are disclosed. In one embodiment, a method for deriving workforce activity and behavioral insights from data exhaust may include: (1) ingesting, by a workforce activity data computer program executed by an electronic device, worker data for a plurality of workers from a plurality of data sources; (2) retrieving, by the workforce activity data computer program, reference data; (3) joining, by the workforce activity data computer program, the worker data and the reference data; (4) enriching, by the workforce activity data computer program, derived data points from the joined worker data and reference data; and (5) outputting, by the workforce activity data computer program, the enriched derived data points.

Abstract: A method for automatically assigning seats to a group of persons is provided. The method includes: receiving a first user input that relates to building space availability and a second user input that relates to employer requirements for seat occupancy; determining, based on the first and second user inputs, a building section within which seats are to be assigned to the group; and assigning, to each respective person within the group based on the first and second user inputs, a respective seat within the determined building section and a respective schedule during which the respective seat is to be occupied by the respective person. The assigning may be implemented by applying a machine learning algorithm that is trained by using historical data that relates prior seat occupancies of each respective person with the group.