Clients

U.S. Census Bureau

1Spatial have prototyped and designed an automated conflation process to carry out geospatial data conflation. This delivers a phased roll-out for 1Spatial’s Validate & Integrate software.

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Transport Canberra and City Services

Transport Canberra and City Services (TCCS) plays a lead role in connecting people to services in the ACT, through an integrated transport network, upgrades to the public realm and managing public assets such as playgrounds, street furniture and urban trees.

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Queensland Transport and Main Roads

Queensland Transport and Main Roads are now able to automatically process large volumes of non-complying events against a defined set of business rules. This is a much more efficient way of working and means operators can spend time on more productive activities.

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No 1 Aeronautical Information Documents Unit

1Spatial has enabled No 1 AIDU to improve the quality and consistency of their data by maintaining it in a single, central database, rather than numerous individual charts. Alongside the increased productivity, No 1 AIDU is also benefiting from substantial time and cost savings.

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Swedish Maritime Administration

1Spatial software helps SMA to manage the updates to their core data within an Oracle database and to automatically generate data products for their customers from this central database.

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City of Marseille

The city of Marseille wanted to improve decision-making by giving city managers easier access to consistent and authoritative geospatial data.

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PSMA Australia

1Spatial has allowed PSMA Australia to gain and retain the knowledge about the data itself and understand the requirements for processing the data.

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Waverley Council

1Spatial’s FME Certified Professional’s assisted Waverley Council by creating a number of automation scripts, to enable customisable and scalable data transformation.

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Staffordshire County Council

The council fulfilled their data quality and spatial referencing obligations at the same time as improving operational efficiency. The new level of data quality provided them with renewed confidence that they could trust their data when making business-critical decisions.

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