The invention relates to a method for realizing non-
business process irregularity detection in a large data environment. The method comprises steps: a
system introduces a
standardization process model and builds a
business object type; the
system associates the
business object type and the
standardization process model; the
system acquires standard data of a non-
business process; the system carries out process
recovery on the data of the standard data; and the system carries out irregularity analysis on the standard data after
recovery. The invention also relates to a system for realizing non-
business process irregularity detection in a large data environment, which comprises a
standardization process definition module, a process association module, a process
recovery and irregularity definition module, a
data extraction module and a process recovery and irregularity analysis module. by adopting the method and the system of the invention, irregularities in the non-business handling process by an enterprise can be detected in real time, the
business activity monitoring field is further expanded, the structure is simple, expansibility is good, the detection efficiency is high, portability is strong, and a wider application range is provided.