What is Data Quality Framework and How to Implement it?
There are several ways to implement a data quality framework. These include the Horizontal dimension, Common data quality processes, and efficacy. To better understand data quality and how to implement a Data Quality Framework, we’ll need to look at each of these in more detail and that is what we are going to do in this post here. Once you will master these concepts, you will be able to implement your own data quality framework with a few clicks of the mouse.A data quality issue log tracks all data quality issues, as well as preventive and corrective actions taken. It can be used to highlight trends and KPIs of the organization’s data quality processes. The most common types of data quality issues relate to party, product, and location master data. Keeping track of known issues allows organizations to improve data quality and avoid future issues. Another common data quality issue concerns data sources. The data sources capture the data needed for analysis, and then the data analys