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.
Key Benefits:
Clean data can reduce customer distress thus improving brand image
Better business decisions based on more accurate data
Compliance with the regulatory guidelines -Data Protection Act
Improve profits through more accurate targeting of sales prospects
Reduce costs and time associated with correcting mistakes and errors
Avoid the costs and time required to fix operational problems caused by duplicates and incorrect data
Increase contact rates by using only accurate contact data in your multi-channel campaigns
Tools and Technologies
- SAP Information Steward
- IBM Infosphere
- Informatica Data Explorer
- Oracle Oracle Enterprise Data Quality
- SAS Data Management Platform
Our Expertise
