METHOD AND SYSTEM FOR PERFORMING DIGITAL INTELLIGENCE

摘要

A method and system of data analytics provide for retrieving data from a plurality of different sources, normalizing the data, predicting one or more values based on the normalized data, analyzing the normalized data based on the prediction, and delivering an output to a user based on the analysis. One such method includes using a computer to extract point observation data from different electronic data sources; converting time-series data into a plurality of reference (time, value) pairs; normalizing the reference (time, value) pairs using a coherence operation to convert the data into interval observation data; performing estimated weighted moving average with a residual bands adjustment to provide a range of predicted values; comparing current (time, value) pairs to the predicted value to identify anomalies.

主权项

1. A data analytics method comprising:
at a computer comprising one or more processors and a non-transitory memory for storing programs to be executed by the processors:
extracting a selection of point observation data from each of multiple different electronic data sources;identifying time-series data within the point observation data and converting the time-series data into a plurality of reference (time, value) pairs;normalizing the reference (time, value) pairs using a coherence operation to convert the point observation data into interval observation data;storing the reference (time, value) pairs on a non-transitory computer-readable medium as a compilation of reference (time, value) pairs;processing the compilation of reference (time, value) pairs with a prediction algorithm to provide a predicted value for current (time, value) pairs;obtaining current (time, value) pairs from one or more of the multiple and different electronic data sources; andcomparing one or more of the current (time, value) pairs to the predicted value to determine if the current (time, value) pair is an anomaly.