UTILIZING ECONOMETRIC AND MACHINE LEARNING MODELS TO IDENTIFY ANALYTICS DATA FOR AN ENTITY

摘要

A device receives and processes current, forecasted, and historical entity information, associated with an entity, to generate processed information. The device calculates an operating enterprise value for the entity based on the processed information and bifurcates the operating enterprise value into a current value associated with current operations of the entity and a future value associated with investments of the entity. The device determines a growth rate based on the current value and the future value, and processes the current value, the future value, and the growth rate, with a first model, to determine underlying drivers of total returns for stakeholders associated with the entity. The device processes the underlying drivers of total returns for stakeholders and revenue, costs, assets, and liabilities associated with the entity, with a second model, to identify analytics data for the entity, and performs actions based on the analytics data identified for the entity.