This site uses different types of cookies, including analytics and functional cookies (its own and from other sites). To change your cookie settings or find out more, click here. If you continue browsing our website, you accept these cookies.
Hi all, we use Alteryx to capture and report on data quality issues which come from both spread sheets and our database. We have a Data Error Collection Macro which collects data errors contained in various workflows and error messages are then sent by automated emails to the owner of the source of the data error to fix. We have challenges in terms of having to track and mange error collection across lots of workflows and making sure the people/teams responsible for the errors understand and know how to fix them etc. My questions are around whether other organisations have similar process in place, best practice and data quality architecture. Whats the best way to capture and manage data quality issues? I would appreciate any thoughts/ideas/advice! Cheers