Creating trustworthy and reliable data

Hugo Hjertén
Hugo Hjertén

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 🦸