Geography: The hidden dimension of value addGraham Wallace Esri UK         29th March 2012                                ...
Esri UK – Understanding our world
Changes in Technology have changed Geography                                    Street Maps                    Imagery & E...
Geographic Information Systems are used tovisualize and analyze dynamic data that is relatedto a location
The geographical dimensionGeography gives information contextHuman factors                              Territories       ...
Deepwater Horizon$21bn impact on shareholder funds
Enhancing client dataExtract client data, geo-code it & slot it into the frameworkOperational / Financial / Risk data     ...
Building a complete pictureAdd additional environment data layers to the framework                                        ...
Insurance – the spatial dimension                                • If we can build up a clear picture of                  ...
Risk scoring – building the risk profileUnderstand location specific risks and build context specific risk scores         ...
Retail – the spatial dimension                                • Stores are sited taking into account:                     ...
Retail property portfolio analysis                   • Catchment analysis                   • Demographic profiling       ...
Government – The spatial dimension                              • If we can build up a clear picture of                   ...
Managing the recovery – a spatial approach                     Where is unemployment?                     Where are jobs...
Mobile phones power ahead size – and market dynamics           43%                        World’s top 5 mobile manufacture...
Convergence of spatial and non-spatialdata management                 • An added dimension to data analysis               ...
Aeronautical                                                         Telecommunication                Retail              ...
Closing thoughts:                    18
Esri UK – Understanding our world
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Geography – the hidden dimension of value add - Location Matters Seminar 29 Mar 2012

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Presentation Title: ‘Geography – the hidden dimension of value add’

• The world of geography has changed a lot since we were all at school. It has been transformed by advances in computing power and information technology.
• Simple applications of geography like SatNav are part of everyday life, but how are companies using the power of geography to generate efficiencies to create value add and to transform their business?

• Using examples Graham Wallace will chart a course which shows you how to unlock the power of geography – the hidden dimension of value add.

Published in: Technology, Business
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Geography – the hidden dimension of value add - Location Matters Seminar 29 Mar 2012

  1. 1. Geography: The hidden dimension of value addGraham Wallace Esri UK 29th March 2012 (c) Esri UK 2011
  2. 2. Esri UK – Understanding our world
  3. 3. Changes in Technology have changed Geography Street Maps Imagery & Elevation Asia U.S. EuropeBasemaps & Globes Demographics & Market Data Thematic Maps Geology Hydro
  4. 4. Geographic Information Systems are used tovisualize and analyze dynamic data that is relatedto a location
  5. 5. The geographical dimensionGeography gives information contextHuman factors Territories Distribution outlets Schools Population Road NetworksPhysical factors Rivers/Streams SSSI Groundwater Geology Our World Basemap: 5
  6. 6. Deepwater Horizon$21bn impact on shareholder funds
  7. 7. Enhancing client dataExtract client data, geo-code it & slot it into the frameworkOperational / Financial / Risk data Environmental impact /SSSI Extraction Reserves Operational costs Drilling data Seismic data Groundwater Geology Our World Basemap: 7
  8. 8. Building a complete pictureAdd additional environment data layers to the framework Remediation Sites Schools Population Road Networks Rivers/Streams SSSI Groundwater Geology Our World Basemap:Soil type, groundwater , flood risk 8
  9. 9. Insurance – the spatial dimension • If we can build up a clear picture of where the risks exist then resources Prospects can be focused where they will have most impact Risks / Perils • Build up data in spatial layers Claims History - Risks / perils (eg flood) Pricing - Claims history - Accumulation risk (Multiple policies) Re-insurance risk • Quantify each data layer Accumulation - Revenue / claims / profit in £ Capital impact - Risk scores - Pricing £ Profitability - Accumulation risks £ - Net impact on capital £ 9
  10. 10. Risk scoring – building the risk profileUnderstand location specific risks and build context specific risk scores Risk Aggregate risk scores scores displayed visually River flood 4 Run off flood 5 Terrorist attack 2 Crime 7 Arson 8 Subsidence 7 Chemical hazard 5 Heat map: red implies higher risk 10
  11. 11. Retail – the spatial dimension • Stores are sited taking into account: - Population – spend Acquisition targets - Road network – accessibility - Competition – Market share Warehouse location • If we can build up a clear picture of Stock allocation where the potential exists then we can focus resources where they will Merchandise mix have most impact Sales potential • Build up data in spatial layers Store locations - Sales plans - Merchandise assortment Road Network - Buying plans & stock allocation Population • Warehouse location • Acquisition targets 11
  12. 12. Retail property portfolio analysis • Catchment analysis • Demographic profiling • Demand modelling • Space allocation • Space productivity – sales / margin • Competitor space allocation • What to refit – how much to pay? • What to sell • Sale & leaseback options 12
  13. 13. Government – The spatial dimension • If we can build up a clear picture of where the problems exist then we can Employment focus resources where they will have most impact Unemployment • Build up data in spatial layers Govt Employment - Unemployment Job loss - risk - Investment - Impact of government cuts Benefit costs - Sources of export generation Lending • Quantify each data layer - The number of people affected Investment - Expected government cost reductions Job creation - Hidden costs of unemployment - Cost / benefit of job stimulation schemes 13
  14. 14. Managing the recovery – a spatial approach  Where is unemployment?  Where are jobs being created?  Where are benefits being paid?  Where are exports created?  Where will HE / FE cuts bite?  Where is investment needed?  Where are banks lending?  Where aren’t banks lending?  Where do Govt employees work?  Where is new investment needed? All questions with a spatial dimension
  15. 15. Mobile phones power ahead size – and market dynamics 43% World’s top 5 mobile manufacturers (by market share) Global Sales growth 417m units sold Nokia 28.2% 117.5m phones sold world wide Samsung 96% 17.2% Increase in smartphone sales LG 6.6% Apple 3.2% 19.3% Of all phones sold RIM 2.9% are smartphones Global sales figures for mobile phones – 3 months to Sept 2010 Source Gartner and Ofcom 15
  16. 16. Convergence of spatial and non-spatialdata management • An added dimension to data analysis • Data structures which support spatial and non- spatial data • Using Meta data and data keys to speed up “problem specific” data extraction • Focus the processing power on searching for patterns using algorithms and benchmarking • Use BI / BA and spatial exception management to create value add 16
  17. 17. Aeronautical Telecommunication Retail Land Records Parks & RecreationCoastal Protection & Marine Defense Education Agriculture Hospital Museum Port Security Rescue Economic Development Government Electric/Gas Banking Security Facility Management Tourism Refuse Collection Lighting Landscape Planning Public Works Sign Inventory
  18. 18. Closing thoughts: 18
  19. 19. Esri UK – Understanding our world

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