General Electric Company
COST ANALYSIS SYSTEM AND METHOD FOR DETECTING ANOMALOUS COST SIGNALS

Abstract:

Provided is a method and a cost analysis system for detecting anomalous costs signals associated with components of a system. The method includes receiving real-time data stream, performing pre-processing operations including sorting data from data stream received into data subsets as user-defined, processing, via a processing module, the data subsets using a rule set, and determining whether cost change has occurred. If cost change has occurred, storing and archiving cost change data associated with the cost change in a cost database, receiving user input and generating, via a visualization tool, one or more reports showing the cost change data and automatically generating a real-time notification of cost change data, and performing post-processing operations comprising creating new data set including any post-shift data, and resetting applicable data to only consider data after a last change date, and transmitting to processing module for further processing.