Data Quality Explorer

The Data Quality Explorer is the tool for the carrying out data profiling tasks. You use the Explorer to investigate the actual state of your data, e.g. before transfer to other systems, in migrations or before the start of larger data quality projects. However, the Data Quality Explorer can not only track down errors, anomalies, inconsistencies and much more in your databases, but also assist in improving the data quality. In this regard, it has a function for composing and following up projects, the so-called problem management. The Explorer is used e.g. for the analysis of financial, transaction, statistical or order data.

• Data migration projects
• Data warehouse projects
• Data integration
• Compliance initiatives
• Balanced scorecard project tasks of the Explorer

Tasks of the Explorer

• Cooperative analysis and exploration of data quality.
• Creation of profiles on the basis of snapshots.
• Documenting, managing and tracking data quality problems.

Profiling function

• Profiles at field level

• Dependency checks

• Checks for uniqueness

• Join checks

• Problems can be defined at all levels:

• Problems can be assigned to employees:

• Reports about data profiles and problems can be generated.

Data analysis and data profiling in 3 steps

• Workstation

• Entry-Server

• Advanced Server

Sitemap | Webmaster | Privacy Policy | Imprint | © 2010 Uniserv GmbH