主权项 |
1. 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 decision comprising:
a business data retrieval engine stored in a memory of and operating on a processor of a computing device; a business data analysis engine stored in a memory of and operating on a processor of a computing device; and an automated planning and value at risk estimation module stored in a memory of and operating on a processor of one of more computing devices; wherein, the business information retrieval engine:
(a) retrieves a plurality of business related data from a plurality of sources;(b) accept a plurality of analysis parameters and control commands directly from human interface devices or from one or more command and control storage devices;(b) stores accumulated retrieved information for processing by data analysis engine or predetermined data timeout; wherein the business information analysis engine:
(c) retrieves a plurality of data types from the business information retrieval engine;(d) performs a plurality of analytical functions and transformations on retrieved data based upon the specific goals and needs set forth in a current campaign by business process analysis authors; wherein the automated planning and value at risk estimation module:
e) employs results of data analyses and transformations performed by the business information analysis engine, together with available supplemental data from a plurality of sources as well as any current campaign specific machine learning, commands and parameters from business process analysis authors to formulate current business planning and risk status reports; and(f) employs results of data analyses and transformations performed by the business information analysis engine, together with available supplemental data from a plurality of sources, any current campaign specific commands and parameters from business process analysis authors, as well as input gleaned from machine learned algorithms to deliver business decision pathway simulations and business value at risk support to a first end user. |