A Guide to Data Quality Management

At Actian Zeenea, we believe that the ideal compromise is to take into account nine Data Quality dimensions: completeness, accuracy, validity, uniqueness, consistency, timeliness, traceability, clarity, and availability.

We will illustrate these nine dimensions and the different concepts we refer to in this publication with a straightforward example.

Read this Solution Guide to learn:

• What data quality is.
• The challenges of DQM.
• Key features of DQM tools on the market.
• How a data catalog can contribute to DQM.