Abstract: A device may receive data from a user. The device may automatically evaluate the data to generate a set of recommendations, where each of the recommendations relates to a recommended action to be taken by the user. The device may select a recommendation from the set of recommendations based on a set of decision criteria. The set of decision criteria may relate to a feasibility of implementing the recommendation. The device may identify a plurality of users to implement the recommendation selected from the set of recommendations. The device may provide, to each respective user of the plurality of users, respective information identifying a respective portion of the recommendation that is to be implemented by the respective user.

Abstract: A device may receive data from a user. The device may automatically evaluate the data to identify a set of attributes that are associated with classifying one or more data entries as being associated with a threshold risk. The device may automatically evaluate the data to generate, based on an attribute, of the set of attributes, associated with a data entry, of the one or more data entries, a recommendation associated with reducing a risk associated with the data entry, such that the risk does not exceed the threshold risk. The device may provide, to the user, information identifying the recommendation.