System for automated capture and analysis of business information for reliable business venture outcome prediction
AssigneeQomplx LLC
InventorsJason Crabtree, Andrew Sellers
Life of this patent
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Abstract
A system for fully integrated collection of business impacting data, analysis of that data and generation of both analysis-driven business decisions and analysis driven simulations of alternate candidate business actions has been devised and reduced to practice. This business operating system may be used predict the outcome of enacting candidate business decisions based upon past and current business data retrieved from both within the corporation and from a plurality of external sources pre-programmed into the system. Both single parameter set and multiple parameter set analyses are supported. Risk to value estimates of candidate decisions are also calculated.
Claims15
A system for fully integrated collection of business impacting data, analysis of that data and generation of both analysis-driven business decisions and analysis-driven simulations of alternate candidate business decisions comprising:
- a plurality of computing devices each comprising at least a processor, a memory, and a network interface;
- wherein a plurality of programming instructions stored in one or more of the memories and operating on one or more of the processors of the plurality of computing devices causes the plurality of computing devices to:
- retrieve a plurality of operational data and a plurality of operational goals;
- retrieve a plurality of analysis parameters and control commands;
- instantiate a plurality of analysis jobs on a distributed, cloud-based computing infrastructure, wherein:
- each analysis job comprises a comparison of one or more of the operational goals and a relevant portion of the operational data;
- at least one of the plurality of analysis parameters for each analysis job is unique to that analysis job;
- each analysis job generates a plurality of potential actions to be taken in order to move toward one or more of the operational goals;
- a confidence level is assigned to each of the potential actions as a weighted calculation of a random variable distribution of the comparison of the potential action with the operational data as impacted by the plurality of analysis parameters;
- and
- a result is obtained for each analysis job, the result comprising a probability of success based on the confidence level assigned to each of the potential actions considered in the respective analysis job;
- determine a plurality of planning risk parameters based on the results of each analysis job;
- and
- use the determined planning risk parameters as inputs to a parameterized discrete event simulation to automatically develop an operational plan that meets target operational goals with acceptable risk levels.
A method for fully integrated collection of business impacting data, analysis of that data and generation of both analysis-driven business decisions and analysis-driven simulations of alternate candidate business decisions comprising the steps of:
- retrieving a plurality of operational data and a plurality of operational goals;
- retrieving a plurality of analysis parameters and control commands;
- instantiating a plurality of analysis jobs on a distributed, cloud-based computing infrastructure, wherein:
- each analysis job comprises a comparison of one or more of the operational goals and a relevant portion of the operational data;
- at least one of the plurality of analysis parameters for each analysis job is unique to that analysis job;
- each analysis job generates a plurality of potential actions to be taken in order to move toward one or more of the operational goals;
- a confidence level is assigned to each of the potential actions as a weighted calculation of a random variable distribution of the comparison of the potential action with the operational data as impacted by the plurality of analysis parameters;
- and
- a result is obtained for each analysis job, the result comprising a probability of success based on the confidence level assigned to each of the potential actions considered in the respective analysis job;
- determining a plurality of planning risk parameters based on the results of each analysis job;
- and
- using the determined planning risk parameters as inputs to a parameterized discrete event simulation to automatically develop an operational plan that meets target operational goals with acceptable risk levels.
Dependencies are inferred from the claim text.