Establishing data quality and lineage principles and practices
Establishing data quality and lineage principles and practices is an important role of a data steward. This involves developing data quality metrics to measure the accuracy, completeness, and timeliness of data, as well as establishing data lineage to track the flow of data from its source to its destination. The data steward must also monitor data quality to ensure that it meets the established standards.
Data quality
Data quality is the prerequisite of data-driven decision-making. It is both the quick win and long-term strategic goal you should attain. In this section, we will talk about the basic elements of data quality, the operation of data quality programs, and the reporting mechanism.
The common elements of data quality are as follows:
- Accuracy: Information reflecting what it is designed to measure. A retail company could experience issues with data accuracy when its inventory management system...
