We look at the different aspects of data quality that impact on the dimensions of our dataset, and the importance of data quality in the organization that produces it.
When we started working on real use cases, we found that the dataset we received is the result of an organization that has developed a work to be able to elaborate it.
The quality of that dataset is directly related to the organization that manufactures it and how that organization works on data quality.
The sustainability of our model could also be related to the quality of data in the organization.
Beyond data engineering, the accuracy of the model itself, and the performance in its production, if the organization it serves does not have data quality as a priority, probably the model will not be sustained over time.