Now a day’s data mining concepts are applied in various fields like medical, agriculture, production, etc. Creation of cluster is one of the major problems in data analysis process. Various clustering algorithms are used for data analysis purpose which depends upon the applications. DBSCAN is the famous method to create cluster. This article describes DBSCAN clustering concept applied on production database. The main objective of this research article is to collect and group the related data from large amount of data and remove the unwanted data. This clustering algorithm removes the unwanted attributes and groups the related data based upon density value.