Patent ID: 11928697
Assignee: M SCIENCE LLC
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A data analysis system, comprising:
at least one processor in electronic communication with a plurality of disparate data sources each providing electronically accessible, measurable data, a first data source of said plurality of the disparate data sources providing electronically accessible, measurable data that is different from that of a second data source of plurality of the disparate data sources; and
a data storage unit connected with said at least one processor;
said at least one processor configured to:
receive identification of a selected asset for which one or more performance metrics will be analyzed;
receive identification of a performance metric to be modeled for the selected asset;
automatically online monitor and access at least a first data set and a second data set related to said performance metric from at least said first data source of said plurality of disparate data sources; and
select said first and second data source based on the identity of said asset and of said performance metric, wherein at least one of said first and second data sources is a non-fundamental data source;
validate and filter said first data set and said second data set to create at least one of a first validated data set and a second validated data set, or a combined validated data set;
select an analytical process to apply to the first validated data set and the second validated data set, or to the combined validated data set, said analytical process being selected from a group comprising regression analysis, time series analysis, smoothing methods, spectral analysis, neural networks, artificial intelligence, and machine learning, based on a relationship between said first data set and said performance metric,
apply the selected analytical process to the first validated data set and the second validated data set, or to the combined validated data set, to create a first model of said performance metric and a second model of the performance metric, or a combined model of the performance metric respectively, respectively;
if said first validated data set and said second validated data set have been created but not combined, combine said first and second models of said performance metric, store said combined model in said data storage unit.