Getting data quality right
Rapid technological development has made it possible to use more and more data when making decisions. However, this data must be of high quality. Garbage in is garbage out. Only when the data quality is in order will valuable insights be gained from the analyses. To guarantee data quality, investments must be made in standardisation and validation; this requires awareness from the ground up. Data quality is as much a human as it is a technical challenge.
Lenard Koomen, Data Analytics Engineer, talks about his vision of data quality in this interview. How do you ensure high data quality from the ground up and how to start working on it?