Data Quality Management
Data Quality Management
Data Quality Management
Raw, unstructured data from members is run through a data-quality check and provides an insight into the volume of highly incomplete records in the database, discrepancies with records, levels of incompleteness of data, etc.

  • CRIF High Mark then compiles this feedback into a DATA QUALITY REPORT to give its members a deep understanding of the faults in data collection and entry.
  • The advanced rule based algorithms are based on the extensive research and study of millions of Indian postal address and improve the completeness of an address by feeding in missing information.

    Click here to request more about CRIF High Mark's Data Quality Profiling services.