Domain Dependent and Independent Data Cleansing Techniques

Data warehousing is emerging as the cornerstone of an organization’s information Infrastructure. Today every business organization needs accurate and large amount of information to make proper decisions. For taking the business decisions the data should be of good quality. To improve the data quality data cleansing is needed. Data cleansing is fundamental to warehouse data reliability, and to data warehousing success. There are various methods for data cleansing. We classify the methods in two categories domain dependent and domain independent. This paper presents a survey and review of data cleansing methods, classification of existing methods and comparison between them.