Data Cleansing
How 1Spatial can help
Pioneers in location master data management, we enrich and enhance location data (also known as geospatial data), enabling critical decision making and improved data governance. Our powerful technology helps organizations take cost-effective control of their spatial and non-spatial data throughout its lifecycle, making it fit for purpose, compliant, and of a consistent quality. We do this by automating the data validation, auditing, cleansing, synchronizing and maintenance of data across the entire data ecosystem, enabling better decisions and greater insights.
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, 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.
Free Download: How to improve spatial data quality
In our free guide on Spatial Data Quality, we look at how organisations are beginning to treat data quality as an ongoing process using best practice guidance combined with powerful automation technology.
Download1Integrate is our patented rules engine to automatically validate, correct, transform and integrate spatial and non-spatial enterprise data