National Spatial Data: Unlocking the potential through inno - - PowerPoint PPT Presentation

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National Spatial Data: Unlocking the potential through inno - - PowerPoint PPT Presentation

National Spatial Data: Unlocking the potential through inno Unlocking the potential through inno novation, automation & efficiency novation, automation & efficiency out us.. out us.. Our History Our History Founded in 1969


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National Spatial Data:

Unlocking the potential through inno Unlocking the potential through inno novation, automation & efficiency novation, automation & efficiency

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  • ut us…..
  • ut us…..

Our History Our History

  • Founded in 1969
  • Headquarters in Cambridge, UK with office
  • 200 staff
  • 200 staff

Our Business A specialist solutions and services provider to utilities fices in Australia, Ireland, France and Belgium r to data providers, government, defence and

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me of our Customers me of our Customers

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eat Expectations eat Expectations

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e Challenge e Challenge

ta providers supplying rich, intelligent da data

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  • cation Data – Currency & Quality

hey DO Matter lity

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sisting Humans sisting Humans

livering Productivity, Power & Performan ance

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dnance Survey Ireland dnance Survey Ireland

National Mapping National Mapping National Mapping Agency National Mapping Agency

Established in 1824

640+ Terabytes 640+ Terabytes

40 Terabytes per annum Data from 1824 - 2014

HQ Dublin HQ Dublin HQ Dublin HQ Dublin

Cork Galway Sligo Kilkenny Sligo Kilkenny Clare Longford

DB Technology DB Technology

Database 9i, 10g, RAC 11g, 12c Spatial & Graph Spatial & Graph WebLogic & BPEL Workspace Manager

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dnance Survey Ireland

xt Generation Mapping

“..the most significant revision “..the most significant revision “..the most significant revision creation and management pra 30 years” “..the most significant revision creation and management pra 30 years” 30 years” 30 years”

  • Next generation national core reference d
  • Foundation for National Spatial Data Infra
  • Seamless real-world feature data model
  • Inter-feature references
  • n to OSi’s data
  • n to OSi’s data
  • n to OSi’s data

ractices in over

  • n to OSi’s data

ractices in over

data

Colin Bray

frastructure

Colin Bray Chief Executive

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dnance Survey Ireland

Topologically seamless Skin of the Earth Superimposed Features sit on top of Skin of the Earth Network Features including “Way”, “Water” and “Rail”

xt Generation Mapping

Topologically seamless Skin of the Earth Superimposed Features sit on top of Skin of the Earth Network Features including “Way”, “Water” and “Rail”

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dnance Survey Ireland

xt Generation Mapping

utomation played a key role in its creation Build real world features through rules and a Build real world features through rules and a Classify features and set properties Data validation

Estimated 5 -7yr m Estimated 5 -7yr m

Completed in 1 Completed in 1

actions actions

r manual project r manual project

n 18 months n 18 months

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igrating from tiled cartographic data igrating from tiled cartographic data ata …. ata ….

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igrating from tiled cartographic data igrating from tiled cartographic data ata …. ata ….

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. to a seamless real-world feature d . to a seamless real-world feature d e database e database

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Product Ready National Spatial D l Database

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dnance Survey Ireland

siness Benefits

Efficiency by Automating Efficiency by Automating Efficiency by Automating Efficiency by Automating

Do More With Less Do More With Less

Performanc Performanc

14x Fa

Efficiency by Consolidating Efficiency by Consolidating Efficiency by Consolidating Efficiency by Consolidating

1 Database 1 Database

ance Gains ance Gains

Faster

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Thank You Thank You

chris.tagg@1spatial.com

Stand #27 Stand #27