The Importance of Data Quality
Data quality is the process of ensuring data is of the highest possible quality. Data quality managers, data analysts, and data engineers collectively work to identify and fix data errors. They are responsible for cleaning up bad data from databases and other data repositories. They are often assisted by other data management professionals, such as data stewards and data governance program managers. Processes to improve data quality Improving data quality requires a structured approach to the creation and use of data. First, organizations must identify business goals and objectives and define specific initiatives and sustained activities. Once these are set, processes can be designed to ensure that data meets quality requirements. Once the quality of data is established, organizations must continue improving their data through continuous improvements. In order to improve data quality, organizations must first identify the root cause of the data quality issues. In many cases, the proble...