Data Maintenance

Data that is always good to go

Keeping spatial data up to date and accurate on a day-to-day basis, right across its lifecycle, can seem a major task.

Some organisations treat data maintenance as a regular project rather than an ongoing process. But this means that some parts of their data will be inaccurate for most of the time.

Automating data maintenance as an ongoing process ensures your data is always in a known state and ready to use. It simplifies stewardship and builds trust in your data.

Maintaining confidence in data to underpin new product offerings at Ordnance Survey

OSGB now has an automatically orchestrated data maintenance and production system with a single database at the centre. It enables the automated control of data quality, giving OSGB high levels of confidence in the accuracy of their data. As a result, they can protect their existing revenue stream by maintaining customer satisfaction as well as having a platform from which to launch new data-dependent products and services.

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Maintain quality through automation

Organisations increasingly rely on spatial data, often using it in real-time to inform critical decisions.

Data maintenance can no longer be treated as an annual project. Data must always be available, up to date and accurate.

Our approach turns data maintenance from an expensive, one-off project into a cost-effective, ongoing process.

Automated, user-defined and user-managed rules run in the background right across the enterprise and across all of your data, from inception to obsolescence.

Rules can run on data at the point of collection, before acceptance into your core data set and regularly to prevent or fix accidental corruption by users.

Data quality is enforced along the way, not treated as an after-thought.

Our data maintenance solutions report regularly so that you always know the state of your data. Any errors that can’t be fixed automatically are flagged for immediate attention, improving your overall stewardship and ensuring your data is fit for purpose.

Automated, rules-based data maintenance simply makes your data 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 Management

In our free Little Book of Spatial Data Management, we look at how effective stewardship is essential to maintain the value of your geospatial data and how a consistent, repeatable, rules-based process can dramatically reduce the cost and complexity of data management.

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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