Data Cleansing

Clean and correct your data automatically

Understanding the condition of your data is important, but fixing it is vital. Poor data quality can mean bad business decisions and requires a time-consuming, expensive and often manual project to put it right. Our approach to this challenge is different. Our technology can report the current condition of your data but it can repair it, too. Even better, we can set up a process of continuous, automated improvement that gets your data clean, then keeps it clean.

Altogether, we offer a smarter way to smarter data.

1Spatial underpinning the quality of important European data project

By utilising 1Spatial technology, SINFOGEO were able to underpin the quality assurance of their project at every step of the data supply chain. The fact that it was a cloud-based service also meant that they could remove all of the expensive and time consuming set up activities involved in deploying software and hardware at each contributor’s site across Spain.

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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.

Rules-Based Approach

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.

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For help getting your data into shape and keeping it that way, please contact us.

The Little Book of Spatial Data Quality

In our free Little Book of Spatial Data Quality, we look at how ensuring data quality is critical and how organisations are beginning to treat this as an ongoing process by deploying solutions that automate their data quality and data management procedures.

Automated data validation, cleansing, transformation and enhancement for your data.

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Ensure compliance of your data for use across the enterprise.

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Efficiently and consistently plan, maintain and publish your data, whilst automating your production workflows.

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