Data Quality regards both defining the quality dimensions, quality measures and indicators and quality management tasks, as how to analyze data quality tools results and report on quality issues.
The course addresses the fundamentals of Data Quality as  defined in the DAMA International standard Data Management Body of Knowledge 2nd edition (DMBoK). It is designed for individuals professional development to achieve a Professional Certification, introducing the participants to prepare the CDMP specialist exam.

The course helps participants get to know the important needs and benefits of Data Quality, while also teaching them about the common mistakes or “pit-falls” to watch out for.
It guides them on how to put in place Quality Assessments and look over their results.
The course kicks off by explaining how to set the right quality dimensions, create measures, and pick indicators. This helps in understanding how quality management works, keeping in mind what is needed for business intelligence.

In addition, the course was designed to provide the tools and a structured method to successfully face the Data Quality Specialist exam by DAMA International.