Data is the basis for all types of analytics. Sometimes, when data is stored, it can be erroneous due to inefficient techniques used in formatting. The result creates a problem as the data is incomplete and irrelevant. At the same time, if the data is cleansed and stored in an…

Data cleansing is an essential part of data management for businesses. Raw data will contain a lot of mistakes, redundancy and inaccurate details. Data cleansing validates the information to remove all inaccuracies, mistakes and redundancies to offer clean and reliable information which can be used for processing. Since businesses use…