Data Cleansing

Data cleansing is the act of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table or database. Used mainly in databases, the term refers to identifying incomplete, incorrect, inaccurate, irrelevant etc. parts of the data and then replacing, modifying or deleting this dirty data.
Data cleansing in its most simple form, involves a person or persons reading through a set of records and verifying their accuracy, correct Typos and spelling errors, mislabeled data is properly labeled and filed, and incomplete or missing entries are completed.
Data cleansing in a more complex scenarios are performed by computer programs to check the data with a variety of rules and procedures decided upon by the business user to correct any misspelled words, delete any duplicate copies or fill in a missing data values.
Data cleansing operations often purge out of date or unrecoverable records, so that they do not take up space and cause inefficient operations. This process of data cleansing involving data auditing, Workflows and controlling the automatic processing.

Data Cleansing Challenges and Issues
•    Error correction and loss of information
•    Maintenance of Cleansed Data
•    Data Cleansing in an Integrated environment
•    Data Cleansing Framework

An Industry survey confirms that data preparation consumes 70% of analyst’s time due to poor data quality and is significantly impacting the business operations.

Our Expertise

We have built a tools set that enables our expert team to help develop and implement a data cleansing program and provide high quality data based on best practices.

Contact Us to get answers to your specific Data Challenges and find out how we can help you achieve your business objectives through better data management.