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.
DQ-09 Data Quality Scorecard
Module 0. About the Course (3 min)
Module 1. Case Studies (46 min)
Module 2. Data Quality Score Calculation Methods (37 min)
Module 3. Data Modeling Considerations Part 1 (55 min)
Module 4. Data Modeling Considerations Part 2 (68 mins)
Module 5. Building A Data Quality Scorecard Process (61 mins)
Module 6. Data Quality Scorecard Demo (35 mins)
–here- to download a more detailed outline of this course.
This exam tests knowledge and understanding of basic concepts, principles, and terminology of analytics.
Number of Questions: 25
Time Limit: 50 Minutes
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
Certified Information Management Professional (CIMP) designation in the Data Quality and Data Governance tracks.
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.