Automate complex, time-consuming and previously manual processes
We work with you to establish the data quality level you require to be fit for purpose. We then help you develop user-defined and user-managed data quality rules that will find and fix quality issues.
Once created, these rules will run against your data repairing all the common errors and flagging the difficult exceptions for manual correction.
The rules – held in a single central repository –then become an automated, repeatable process that can clean and correct newly acquired data to prevent bad data polluting your dataset. The quality levels can be recorded over time to provide important metrics to enable measurements for continuous improvement.
With a shorter time to usable data, and a faster route to user-trust, 1Spatial technology makes your data both cleaner and smarter.
For help getting your data into shape and keeping it that way, please contact us.