Elastic distribution queuing of mass data for the use in director driven company assessment

A method for elastic distribution queuing of mass data, the method being performed by a computer system that comprises distributed processors, a memory operatively coupled to at least one of the distributed processors, and a computer-readable storage medium encoded with instructions executable by at least one of the distributed processors and operatively coupled to at least one of the distributed processors, the method comprising:

• retrieving data from at least one data source;
• matching and/or appending a corporate identifier to saud data from said data source, thereby creating enhanced data;
• distributed queuing of said enhanced data to determine how much of said enhanced data is being created and how many distributed processing nodes will be activated to process said enhanced data;
• distributed processing of said enhanced data from each said distributed processing node via a structured streaming engine;
• identifying at least one data element from said enhanced data and determining a value of importance of said data element via a decision tree engine;
• determining the probability of failure of a corporate entity associated with said enhanced data based upon said value of importance of said data element via a logistic regression model;
• and
• outputting of the results from said logistic regression model regarding said probability of failure for said corporate entity.