Understanding the importance of data governance and data quality
In this section, we focus on the importance of data governance and data quality. In order for any S/4HANA implementation to be successful, having data of the highest quality is very important. Maintenance of quality needs to be embedded both as part of the data migration as well as in pre- and post-data migration activities to avoid system usage issues. Data quality is defined by how effectively the data supports the transactions and decisions needed to meet an organization’s strategic goals and objectives. In order to have a continuous data quality framework set up, you need to consider the following:
- Data assessment: Once we understand the data sources that are needed to drive the transformation, we need to profile the source, using the data-first approach mentioned earlier in this chapter to establish what data can be used and its quality to drive this analysis. This includes data re-duplication and...
