1. A method, comprising: determining at least one recommended action using a reasoning component having a data-driven modeling portion and a knowledge-based portion, wherein determining includes integrating one or more determination aspects determined by the data-driven modeling portion and one or more additional determination aspects determined by the knowledge-based portion; determining an effectiveness of the at least one recommended action in association with implementation of the at least one recommended action; updating data accessed by at least one of the data-driven modeling component to determine the one or more determination aspects, or the knowledge-based component to determine the one or more additional determination aspects, based at least in part upon the determination of the effectiveness of the at least one recommended action; preparing data including decision feedback for interventions and evaluation of effectiveness; and performing data clustering operations on data accessed by the data-driven modeling portion prior to determining the one or more determination aspects, the data clustering operations including: clustering data into one or more data clusters representative of one or more corresponding determination aspects; training one or more data-driven components using the one or more data clusters; and based on the training, correcting at least one data cluster.
1. A method, comprising: determining at least one recommended action using a reasoning component having a data-driven modeling portion and a knowledge-based portion, wherein determining includes integrating one or more determination aspects determined by the data-driven modeling portion and one or more additional determination aspects determined by the knowledge-based portion; determining an effectiveness of the at least one recommended action in association with implementation of the at least one recommended action; updating data accessed by at least one of the data-driven modeling component to determine the one or more determination aspects, or the knowledge-based component to determine the one or more additional determination aspects, based at least in part upon the determination of the effectiveness of the at least one recommended action; preparing data including decision feedback for interventions and evaluation of effectiveness; and performing data clustering operations on data accessed by the data-driven modeling portion prior to determining the one or more determination aspects, the data clustering operations including: clustering data into one or more data clusters representative of one or more corresponding determination aspects; training one or more data-driven components using the one or more data clusters; and based on the training, correcting at least one data cluster. 2. The method of claim 1 , wherein determining at least one recommended action using a reasoning component having a data-driven modeling portion and a knowledge-based portion includes: identifying one or more opportunities based on the integrating; and selecting the at least one recommended action from the one or more identified opportunities.