2. The method of claim 1 , wherein the types include: composite data types that support domain-specific ontologies and semantic data for information data models; data graphs that capture event data and their network effects; time-series metrics definitions that define a temporal summary of business activity segmentation/permutation; data entity scoring types that store up-to-date results from analytical models; and advisory response types that represent recommendations based on real-time-prediction and decision models in response to business events.
2. The method of claim 1 , wherein the types include: composite data types that support domain-specific ontologies and semantic data for information data models; data graphs that capture event data and their network effects; time-series metrics definitions that define a temporal summary of business activity segmentation/permutation; data entity scoring types that store up-to-date results from analytical models; and advisory response types that represent recommendations based on real-time-prediction and decision models in response to business events. 4. The method of claim 2 , wherein the behavior bundles include rules and procedures comprising: customized flow control for entity event processing; defining event processing logic for creating and updating instances of the data graph and time-series metrics; designing and applying analytical models that calculate instances of the entity scores based on the data types; real-time prediction and decision logic for providing the advisory responses; and analytical models/algorithms/logic that enable comparison of the quality of the probabilistic predications based on real-time experimentations.