Data Validation

The 1Spatial Approach

Our approach to data validation allows the user to define and manage rules against which all data is tested. The rules are held in a single, central, technology-neutral repository and can be run against new data on demand. They can run in the background as a surveyor collects new data on the ground, flagging when new entries don’t conform with the requirement. This enables the data to be checked there and then, without the need for costly re-visits.

The rules can also run on batches of data as they are submitted – but before they are added to your core data. Data can even be fixed automatically, on the fly, based on the same rules so that good data is quickly integrated, and exceptions flagged for manual review. Our enterprise-wide, cross-platform automation quickly and cost-effectively protects your core data asset, helping to make your data smarter.