For your data to be valuable for your consumer, you must establish trust in the data and your team. Trust is created by actively working with data quality. 🤝 In this article Hugo presents three perspectives for when ensuring quality of your data:

1. prioritise Data Quality Dimensions together with your consumers, iteratively adding more dimensions and tests as your data product matures 🪮
2. measure the prioritised quality expectation and use cases, and continuously share the results of the tests 📣
3. have a strategy for acting on data quality incidents 🦸