Semi-automatic system with an iterative learning method for uncovering the leading indicators in business processes

摘要

Embodiments herein select performance indicators from raw data and measure the indicators over at least one time period to extract a time series of data for each of the indicators. The method determines a time order among the correlated indicators and determines a causal direction among the correlated indicators based on which of the correlated indicators occurs first in time so as to identify relative leading indicators among the correlated indicators. The processes of determining the time order and determining the causal direction can comprise applying Dynamic Time Warping and/or Granger Causality techniques to the time series of data.