Data Quality Improvement

Data quality improvement is a workflow for creating datasets that are fit-for-purpose.

The workflow starts by agreeing the quality targets for the data and defining a set of spatial business rules. A baseline assessment analyses the data to determine whether it achieves those targets. If it does not, a cycle is entered where:

• Errors are corrected, automatically and/or manually
• Rule conformance is assessed and the results compared to the quality targets