Finding root cause for low key performance indicators

Abstract

Identifying a change of an indicator value for a system of interdependent entities includes determining the indicator value, logging input data for the system of interdependent entities, logging scoring payload data and related results of a machine-learning model used as part of the system of interdependent entities, wherein the scoring payload data are derived from the input data, clustering the input data into a number of clusters resulting in defined clusters, determining metric values of the machine-learning model by mapping each of the defined clusters onto the scoring payload data resulting in a vector of metric values, re-determining the indicator value for each defined cluster, resulting in a vector of re-calculated indicator values, and determining correlation matrix values for a matrix between the vector of re-determined indicator values and the vector of the metric values for each of the defined clusters.