The quality of data is a requirement for Cloud Database.

It is able to determine, monitor and evaluate the quality of data. A comprehensive interface for defining rules that range from simple attributes checks to more advanced SQLs.

It is equipped with an automated profiler for data quality. Quality checks are conducted on the unstructured elements of data.

Automated scheduled runs. Fully-fledged dashboards that are integrated with test suits such as JIRA to bring up questions about data quality.

Data Profiling

Riskinsight DQ Data comes with an extensive checklist of Data Profiler checks you can think of.

Integrated Actions

Riskinsight DQ Data also comes with adapters to Jira and Slack to report DQ issues and collaboration.

Rules Workbench Components

We also offer a number of dynamic tools for Data Quality Rules like Referential Expression, Pattern Dictionary Check, Functional Dependency Check, and many more.

{Unstructured} Dataset – Data Quality

Particular DQ Rules to validated unstructured data or semi-structured columns in tables with relational relationships using JSON schema, and much more.