Data quality, data profiling, and data lineage
In this section we look at three different, but related, concepts: data quality, data profiling, and data lineage. Each of these aspects of data governance are important tools for ensuring that data that is shared within your organization is of high quality, and that teams across your organization can have confidence when accessing and using the data.
Data quality
Having high quality data is essential for ensuring that an organization is equipped to make the best data-driven decisions, and to be effective in all activities that are data driven (such as marketing campaigns). There are many different aspects to measuring data quality, and data quality is important in all phases of the data lifecycle. If data in the source production database is not captured correctly, then when that data is copied over to analytical systems the analytical system will have incorrect or missing data. For example, if the source system does not enforce that date...
