Data quality scorecards have become very popular and many organizations are starting to build them. What they have found is that the path to a meaningful and useful DQ Scorecard is riddled with traps and obstacles.
This online training course gives comprehensive treatment to the processes and practical challenges of data quality scorecarding.
It starts with a few real, live use cases that showcase what a scorecard can do for a company when done right. Systematic treatment of various DQ scorecard challenges is given. Then the course proceeds to the ins and outs of the successful DQ scorecard, from the underlying data model to the effective processes that need to be set up in order to produce the scorecard efficiently. Multiple examples to illustrate every important point are provided in the class.
This exam tests knowledge and understanding of basic concepts, principles, and terminology of data quality scorecards.
Number of Questions:
Passing Score: 70%
Once you pass the exam, you will receive a Certificate of Education documenting that you have demonstrated mastery of the topic. Further, the exam counts towards the Certified Information Management Professional (CIMP) designation in the Data Quality track.
We recommend that you take detailed notes and review the course material multiple times before taking this exam. Click here to learn more about CIMP exams.