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Location Doesn\'t Matter

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Presentation for SiRF FastPitch @ CTIA 2009

Presentation for SiRF FastPitch @ CTIA 2009

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  • 1. Location Doesn’t Matter
    From lng/lat to context
    October 2009
    SiRF Fast Pitch Presentation, San Diego
  • 2. Urban Mapping Overview
    Founded in 2006
    San Francisco-based
    Profitable
    Focus on high-quality, difficult to collect geographic data:
    Neighborhood boundaries
    Mass transit data
    Enhanced parking
    Enhanced shopping mall data
    Geotargeting
    On-demand 24/7 hosted geo-services via API
    Reverse geocoding to neighborhoods
    Mass transit routing and real time alerts
    Search for parking/rate calculation
    Dynamic delivery of geospatial content
    October 2009
    Proprietary & Confidential
  • 3. Urban Mapping Overview
    Founded in 2006
    San Francisco-based
    Profitable
    Focus on high-quality, difficult to collect geographic data:
    Neighborhood boundaries
    Mass transit data
    Enhanced parking
    Enhanced shopping mall data
    Geotargeting
    On-demand 24/7 hosted geo-services via API
    Reverse geocoding to neighborhoods
    Mass transit routing and real time alerts
    Search for parking/rate calculation
    Dynamic delivery of geospatial content
    October 2009
    Proprietary & Confidential
  • 4. UMI Customers/Partners
    October 2009
    Proprietary & Confidential
    Representative Customers
    Partners
  • 5. Location Doesn’t Matter
    October 2009
    Proprietary & Confidential
    • Location-based services have become a commodity
    • 6. Pulling location accomplished through various methods
    • 7. Cell-id
    • 8. GPS
    • 9. A-GPS
    • 10. IP lookup
    • 11. WiFi
    • 12. Browser-based
    • 13. Value-added services must provide context and relationships:
    • 14. Absent context, the low cost provider will win
  • Location Doesn’t Matter
    October 2009
    Proprietary & Confidential
    • Location-based services have become a commodity
    • 15. Pulling location accomplished through various methods
    • 16. Cell-id
    • 17. GPS
    • 18. A-GPS
    • 19. IP lookup
    • 20. WiFi
    • 21. Browser-based
    • 22. Value-added services must provide context and relationships:
    • 23. Absent context, the low cost provider will win
  • c
    Building a Geo-hierarchy
    October 2009
    Proprietary & Confidential
    Mapfluenceis a blazing fast, highly scalable geocoder that associates and ‘rolls up’ data at all levels within a geographic hierarchy, ie,
    County
    ZIP
    Neighborhood
    Block Group
    Cross Street
  • 33. c
    Data Sourcing
    October 2009
    Proprietary & Confidential
    Mapfluencemaintains a data catalog of 1000s of geographic data sets—some are UMI-sourced and others are licensed third-party content. Examples include:
    • School ratings/performance
    • 34. Natural hazards
    • 35. Health care quality
    • 36. Mass transit proximity
    • 37. Regional economic indicators
    • 38. Parcel data
    • 39. Consumer segmentation/expenditures
    • 40. Election returns
    • 41. Crime
    • 42. Bankruptcy filings
    Crime
    Transportation
    Health
    ZIP
    Real Estate
    Economic
    Demographics
    Environmental
    Education
  • 43. c
    Temporal Association
    TheMapfluencedata catalog maintains a temporal component, allowing for time series analysis of individual data sets
    1500 1800 1900 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15…
    ZIP
    October 2009
    Proprietary & Confidential
  • 44. c
    ‘Data Cube’
    October 2009
    Proprietary & Confidential
    Geo-hierarchical
    Temporal
    Thematic
  • 45. c
    Millions of ‘Data Cubes’
    October 2009
    Proprietary & Confidential
  • 46. c
    Adding Value to Location
    October 2009
    Proprietary & Confidential
    LBS provider passes location, service performed, ‘enhanced location’ returned
    cellid
    GPS
    WiFi
  • 47. c
    Data Precompiling
    October 2009
    Proprietary & Confidential
    Mapfluenceprocesses ‘cubed data’ sets for client application
    Data Sources
    Real Time
    Proprietary
    Public
    “Wildfire”
    Engine
  • 48. c
    Data Serving
    October 2009
    Proprietary & Confidential
    Via API, render thematic mapping, charts and tables, on the fly spatial analysis
    API
  • 49. c
    From Location to Context
    October 2009
    Proprietary & Confidential
    IP
    HTTP
    (NPA) NXX
    ZIP
    API
    cellid
    GPS
    Data Sources
    WiFi
    Real Time
    Proprietary
    Public
    GeoRelevance
    Engine
  • 50. Mapfluence
    October 2009
    Proprietary & Confidential
    • Blazing fast enhanced geocoder
    • 51. Highly-scalable, cloud infrastructure
    • 52. Data on demand: 1000s of high-value data sets available for use
    • 53. Millions of pre computed data cubes
    • 54. Javascript API: easy developer integration, platform agnostic
    • 55. Managed admin/billing
  • Coordinates
    October 2009
    Proprietary & Confidential
    Urban Mapping, Inc
    690 Fifth Street
    San Francisco, CA
    Ian White
    ian@urbanmapping.com

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