METHOD AND SYSTEM FOR AN INFORMATION ENGINE FOR ANALYTICS AND DECISION-MAKING

摘要

A method and a system for a management decision-making facilitator within an enterprise are provided. The method includes storing a plurality of predefined enterprise process event state definitions and at least one respective threshold for each enterprise process event state definition in an information engine and receiving enterprise process data relating to a plurality of enterprise process states associated with the plurality of enterprise process event state definitions from the information engine. The method also includes analyzing the received enterprise process data in real time and generating a visualization of the enterprise based on at least one of the historical data, current information, and predicted data, the visualization including a representation of the enterprise process event states.

主权项

1. A computer-implemented method of a management decision-making facilitator within an enterprise, said method using a computing device having at least one processor and at least one memory device, said method comprising:
storing a plurality of predefined enterprise process event state definitions and at least one respective threshold for each enterprise process event state definition in an information engine; receiving enterprise process data relating to a plurality of enterprise process states associated with the plurality of enterprise process event state definitions from the information engine, said enterprise process data including:
historical data relating to the enterprise process event states;real-time current information relating to the enterprise process event states;predicted data based on the historical data, the current data and measured or derived parameters associated with the at least some of the plurality of enterprise process event states; andalgorithmic models of at least one of the enterprise process event states including parameters, variables, and measurements; and analyzing the received enterprise process data in real time, the analysis including:
monitoring at least one Key Performance Indicator (KPI) of the plurality of enterprise process event states by a KPI engine;comparing end results of the enterprise process event states to a predetermined specification of quality data;determining an out of specification measurement based on the comparison;determining a root cause of the out of specification measurement based on a process parameter deviation from the specification; and generating a visualization of the enterprise based on at least one of the historical data, current information, and predicted data, the visualization including a representation of the enterprise process event states.