To improve a Decision Cycle, it is essential to incorporate the results of the Plan to Predict analysis and the Hybrid Intelligent prediction and prescription models into the decision-making process. At Presage, this is achieved through an Intelligent Middleware that can interact with your current systems, both on the front-end and back-end. Its intelligence is the essential component that adds value to the data, providing relevant information about who, what, where, when and how, and, crucially, the “why” behind every prediction, to all relevant stakeholders. The predictions can be used to support human decision-making or to be integrated into automated workflows.
As the outcomes of the predictions and corresponding decisions and actions are recorded, Presage’s Bayesian prediction models learn in the light of new data, adapting if necessary to ensure that decision-making adjusts and optimises as circumstances and context change.