How the Process Cluster Analysis Approach Works
Many experts in the field of business process analysis adopt the clustering approach. Such an approach can make the task accomplishment faster as well as easier. Important works like the conformance analysis can also be carried out using the cluster approach.
Process Cluster Analysis
The clustering approach refers to taking similar objects in a group. The following steps are involved in the case of the process cluster analysis.
• The analyst partitions the data set into different groups;
• All the similar data are put in a single group and labeled appropriately; and
• The process analysis is performed for each group.
Why use Process Cluster Analysis?
The cluster approach works very well when you want to identify discrete groups of clients. It is also an effective process mining tool for the determination of similar behaviors of clients in sale transactions. Process cluster analysis is used by insurance companies to detect any improper and fraudulent claims. Banks and financial institutions use it for the credit score determination of the customers.
Process Cluster Analysis Features
The cluster analysis approach takes into account the data matrices where there has been no partition of variables earlier. The aim is to identify groups of subjects that are similar in nature. Thus; the cluster approach is based on the classification of subjects in the business process. The method is also extensively used to carry out tasks like the conformance analysis. This type of business process analysis is dedicated to checking the level of conformance of various elements in the business process and detecting non-conforming subjects.
Clustering can be considered to be the pre-classification exercise as there is no prior partition of the data sets. The process cluster analysis can work efficiently when the clusters are identified correctly. It requires professional handling by an expert agency like Corporate Insight with nearly three decades of experience and a big success percentage at its credit.
