Quarterly Data Quality monitoring, a revolutionary shift in how we approach data quality together, is right around the corner and launching in January 2020! Part of this process is rolling out new expectations for data quality completeness, consistency and accuracy, and timeliness. Before implementing a new report and set of data quality standards, it is important to this process that you have a say in what data quality goals feel reasonable for you to achieve.
If you have 20 minutes to spare in November, review the draft Quarterly Data Quality monitoring process (including the Quarterly Data Quality Scoring Rubric- all available at https://hmismn.org/data-quality/) and submit feedback.
If you have 3 hours to spare in December, help make the report stronger by participating as a tester! We are seeking users to perform User Acceptability Testing (UAT) on the new report. UAT is a software development term for when users test a product (in this case, a report) in the real world and try their darndest to break it, and we tune-up accordingly! We’re targeting the first two weeks of December for this process, launching with a 30-minute training webinar. After the webinar we’ll ask for 2 hours of your time to run the report and give feedback. Contact the Helpdesk if you are interested!
We especially want to hear from you if data quality is challenging for you. Submitting feedback and testing products will help you get familiar with the changes, and gives you an opportunity to make the new process better. It also helps us know what we can do to build your confidence!