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Improve the positional accuracy of your location data

Today, accurate location data is vital across all industries and applications. Our PAI solution, using our rules-based approach and powerful algorithms, ensures data is positioned accurately, without the need to spend vast sums re-surveying or manually adjusting data sets. Shift vectors intelligently move data in a consistent automated way, allowing you to easily re-align your data to a new base map, or apply new positional information to existing assets and features.

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The Challenge

Historically, asset data has been mapped to align to a base data mapping product that was captured to the level of accuracy available at that time.

Inaccuracy becomes a problem when base data has subsequently been more accurately captured, but asset data has not been kept in line. There is a similar problem when asset data is nearly accurate, but is being recaptured as maintenance works are undertaken.

The problem remains the same; how to align asset data to a new known accurate set of data in the cheapest, quickest and most reliable way.

The Solution

Our solution makes use of 1Integrate via 1Data Gateway, providing cloud or on-premise hosting of a de-centralised PAI transformation process. 1Data Gateway allows users to submit data through a secure portal where the 1Integrate rules engine takes control of automatically validating the data - at source - to ensure its completeness, quality and reliability.

Several project types are available for PAI in 1Data Gateway. You can positionally improve data using pre-existing shift vectors or supply base data sets, letting the solution infer shift vectors for you. Additionally, projects can be used to analyse shift vectors for anomalies and outliers, ready for correction. 1Data Gateway also handles post processing steps, with projects designed to report on the state of data, pre and post movement.

The Result

Our solution automatically improves the positional accuracy of your data sets without compromising your underlying topological and feature relationships.

It provides a flexible approach, allowing users the choice to influence the processing or choose to allow the solution to automatically exclude anomalies and process only known good data.

It provides a standard, repeatable approach, whereby once shift vectors are generated these can be re-applied to any other appropriate data set without needing to regenerate them.

The result is a hassle free, efficient, reliable automated process that can work in the background, quietly improving your data.

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FREE White Paper

There’s just never a “right time” to run a Positional Accuracy Improvement (PAI) project, but there is a “right way” – one that minimises risk, disruption and cost. Download our FREE PAI White Paper to find out more.

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On-Demand Webinar

Relieve the pain of Positional Accuracy Improvement projects - There’s just never a “right time” to run a Positional Accuracy Improvement (PAI) project, but there is a “right way” – one that minimises risk, disruption and cost. Watch our free, 30-minute webinar to find out more.


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

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