Huge piles of data when stacked together can become messier and clumsy over time, in order to arrange them and make them neatly arranged data cleansing is required. Data cleansing is one of the techniques that can be employed to cleanup huge heaps of clumsy data from the database. This messy data may cause inaccuracy, error, inconsistency and all kinds of problems in the data and this may even question the data integrity of an organization. As data is an integral part of an organization any errors in that will lead to problems in an organization.

Data cleansing actually checks all the errors in the data and once the errors are identified it is validated and the mistakes are corrected by cross checking other validated data sets. Data cleansing is highly recommended as it would increase the data accuracy and reliability so it would increase the organizations integrity and it would increase data quality.

How Data Cleansing Could Help You Save Your Data Integrity?

• High Quality

Data cleansing helps in increasing data quality, as data is checked and validated for errors it ensures that data is of high quality. The data is corrected if there is any mistake in the data, the database is cleaned for errors and validated with other saved data sets.

• Reliability

Data cleansing cleans the data and removes any syntactic errors and make them programmable and usable again. Data cleansing ensures about 90 percent accuracy of the data, and make them error free and accurate. Data cleansing will cleanup huge heaps of unwanted data and would make the database clean and up to date.

• Consistency

Data consistency is an important thing of an organization, data consistency has to be maintained in the database. The inconsistency in the data is checked and corrected when data scrubbing is done, and would make the data consistent across all databases of an organization.

• Help in Auditing

Auditing will find out the problems and errors in data, data cleansing will help in the data auditing process as well. Data is checked for any anomalies and they are corrected by doing data cleansing, if data cleansing is done properly it would save time for data auditing.

• Helps in Workflow Management

If data is correct and accurate then it would help the proper working of an organization. Then problems regarding data errors and data integrity wouldn’t hinder the workflow of an organization. Data would be cleansed and all the errors in the database would be corrected and checked.

• Eliminates Data Duplication

It would find out all the data duplication and other errors in the database. If data duplication is eliminated then many problems regarding data would be solved and it would sort and arrange all the data in the database and it would stack and order all the data.

• Uniformity

Data is converted to same measures by doing data cleansing, data may be in different formats as it is absorbed from different databases and stacked in to one but these problems are solved by data cleansing by converting them to a single format.

Data cleansing is done to clean the database and to make it correct and error free by doing this data integrity and data confidentiality of an organization is maintained. Data cleansing would help in data reliability and accuracy this would help in smooth working of an organization. As data would help in cleaning your database and in maintain its integrity it would help increase organizations productivity.