Data Auditing

Utilizing ProActive Datum’s proprietary data quality tool and data quality experts, client’s achieve an automated and continuous process for auditing of their data quality for the following:

  • Validity – Data value conforms to establish data standard rules.
  • Completeness – That certain data attributes are expected to have assigned values.
  • Currency – Degree to which data is current.
  • Privacy – Conform to policies for redaction or de-identification of data.
  • Consistency – Ensuring that data values are consistent with other data values.
  • Precision – Expected level of detail associated with the data element exists.
  • Integrity – Reference dependencies between data sets and attributes are valid.
  • Duplication – Duplicate data exists within data set and should not.