Question

The data quality score reflects details such as: (Select all that apply).

a. Number of rules failed
b. The quality score and result
c. Business Glossary
d. Number of rules passed

Answer 1

The data quality score is influenced by the number of data quality rules that are passed or failed, which are both quantitative discrete measures used to assess a dataset's integrity for business decision making.

Step-by-step explanation:

The data quality score is an important metric that reflects the integrity and usefulness of data within a system. When evaluating the data quality score, one should consider the following factors:

• Number of rules failed: This is a quantitative discrete measure. It indicates how many predefined data quality rules the dataset did not adhere to.
• Number of rules passed: Similarly, this is also a quantitative discrete measure. It reflects how many data quality rules the dataset successfully met.

These are critical in determining the overall data quality score, which can ultimately be reported categorically using scores or grades to represent the level of data quality. Business decisions can be significantly influenced by these quality assessments, so it's crucial that they accurately reflect the dataset's state.