Prevention of Dirty Data and the Role of MADAR Project

Abstract

Dirty data refers to the inconsistent information that has no meaning in the system. It is collecting almost by mistakes and from undefined sources. In this paper we defined some techniques to fix the problem when detect the dirty data before it results in the business value. Moreover we described the internal collaboration and integration of organizations by removing the dirtiness of data. The role of "MADAR projects" in this regard is very active to integrate the organizational performance and had implemented their ideas in many organizations by fixing the inconsistencies with successful results.