Our data services competency domain primarily focusses on data profiling, complex transformations, data quality, data validation, data de-duping, data enhancement and data masking.

The data will be analyzed for quality. Data quality is the main area that exposes the validity, accuracy, completeness, consistency and uniformity of data. We generate reports to help in identify the lacunae in the data under various parameters.

Data cleansing is the next step where data scrubbing process is adopted to identify, the incomplete, inaccurate, irrelevant and corrupt data. Datakriya’s team closely works hand in hand with the business team, for data correction and data validation.

As part of cleansing process typographical errors are removed and data is validated against known list of entities. Duplicate master data is also identified and corrected.

Data cleansing may also involve activities like, standardization of data and harmonization of data.
As the final step, Data enhancement is performed where the data is incomplete.