Modelling apparatuses, methods, and systems

A non-transitory computer-readable storage medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• compiling a plurality of data sets;
• validating, by the one or more processors of the modeling platform, the plurality of data sets, wherein the validating is configured to verify that each of the plurality of data sets satisfies one or more modelling criteria;
• determining, by the one or more processors of the modelling platform, model execution parameters for executing a set of models selected from among a plurality of models accessible to the modelling platform, wherein the model execution parameters identify one or more data sets of the plurality of data sets that are to be provided as inputs during execution of each model included in the set of models and identifying an execution order for the set of models, wherein the execution order identifies dependencies between the models included in the set of models, and wherein a dependency between a first model and a second model indicates that an output of the first model is to be provided as an input during execution of the second model;
• automatically executing by the one or more processors of the modelling platform, the set of models in accordance with the execution order to produce an output metric, wherein the output metric represents a cumulative result of execution of the set of models;
• creating, by the one or more processors of the modelling platform, a database record representative of the model execution parameters utilized to execute the set of models;
• and
• storing, by the one or more processors of the modelling platform, the database record in a database accessible to the modeling platform.

A system comprising:

• a memory;
• and
• one or more processors communicatively coupled to the memory and configured to:
• compile, by one or more processors of a modelling platform, a plurality of data sets;
• validate the plurality of data sets, wherein the validating is configured to verify that each of the plurality of data sets satisfies one or more modelling criteria;
• determine model execution parameters for executing a set of models selected from among a plurality of models accessible to the modelling platform, wherein the model execution parameters identify one or more data sets of the plurality of data sets that arc to be provided as inputs during execution of each model included in the set of models and identifying an execution order for the set of models, wherein the execution order identifies dependencies between the models included in the set of models, and wherein a dependency between a first model and a second model indicates that an output of the first model is to be provided as an input during execution of the second model;
• automatically execute the set of models in accordance with the execution order to produce an output metric, wherein the output metric represents a cumulative result of execution of the set of models;
• create a database record representative of the model execution parameters utilized to execute the set of models;
• store, by the one or more processors of the modelling platform, the database record in a database accessible to the modeling platform;
• and
• generate a report that indicates the impact that the real world event would have if the scenario occurred.