Data hygiene is the collective processes conducted to ensure the cleanliness of data. Data is considered clean if it is relatively error-free. can be caused by a number of factors including duplicate records, incomplete or outdated data, and the improper parsing of record fields from disparate systems. Errors can be introduced at any stage as data is entered, stored and managed.
Data quality is crucial to operational and transactional processes within the enterprise and to the reliability of business analytics (BA) / business intelligence (BI) reporting
We take care of this and ensure to deliver quality data which results in better prospects acquisition, high conversions and better ROI.