Engineering

Reduce project risk with accurate geospatial data

Can the infrastructure industry afford not to quantify the accuracy and validity of information delivery?

Accurate spatial and non-spatial information is imperative for effective delivery of complex infrastructure engineering projects.

Today, we are consuming many sources of information: raster data from drones, engineering design, field data from mobile-enabled surveyors and open data sets from government and public bodies.

The challenge is to take cost-effective control and ensure consistent, reliable and measurable levels of accuracy.

Our automated, rules-based technology helps mitigate risk by dramatically reducing the cost and time required for effective data integration, management and project delivery.

Managing, measuring and understanding the quality of infrastructure data is important, whether you are compiling a pre-tender assessment from public data or analysing in-project data from multiple partners.

Combining data from different sources

This can be a quick and efficient way of understanding a project from different perspectives. Sometimes, it’s an essential part of managing complex projects. But, it always carries risks.

Data can be of different ages, uncertain accuracy and may not be fit for purpose. It might conform to different standards or (even from within your own organisation) be held in different formats.

We work with customers from different sectors to help them cost-effectively manage their spatial and non-spatial information ensuring the quality and integrity of data, before approval and issue to prevent inaccurate data being used on projects.

Our software – developed for some of the world’s largest geospatial databases – automates traditionally labour-intensive, manual data management tasks like validation, integration, cleansing and enrichment.

By turning your firm’s expert knowledge into user-managed, repeatable rules, we make it easy to understand and report on the quality of any set of geospatial data – at both geospatial and attribute levels. Our rules-based approach can automatically fix data problems, too; ensuring your project data is always as you expect it to be: authoritative, consistent and accurate.