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Geo Web F1 Enterprise

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FortiusOne presentation on how to get the enterprise (fortune 500) to care about geospatial technology

FortiusOne presentation on how to get the enterprise (fortune 500) to care about geospatial technology

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Transcript

  • 1. How to Get the Enterprise to Care about the GeoWeb:
    The Value of Location-based Information
    Sean Gorman
  • 2. Step One
    Stop thinking of geo as special and different
  • 3. Geo should be part of the regular data workflow
  • 4. Step Two
    Enterprise data needs to be dynamically geo-enabled
  • 5. Geo-enabling data needs to be simple
  • 6. Geo-enablement needs to be a commodity
  • 7. The case for geo-enablement as a public good
  • 8. Step Three
    Pushpins are not enough
  • 9. Location alone is not enough
  • 10. Step Four
    Demonstrate ROI
  • 11. Make money, save money, beat the competition
  • 12. Replace proprietary data with public domain data
  • 13. Replace consultants with technology
  • 14. Create new revenue streams in the enterprise
  • 15. Step Five
    Empower users to act and not just view
  • 16. A storm surge map is good to know
  • 17. Knowing where you will be impacted is critical
  • 18. GeoIQ as a Case Study
  • 19. Decision makers
    19
  • 20. Overwhelmed by data
    20
  • 21. Unhealthy AQI Days
    Data gets lost in Spreadsheets
    21
  • 22. Visual Intelligence enables better decisions
    22
  • 23. Identify trends and drivers
    23
  • 24. FortiusOne’sGeoIQ translates location data analysis into visual intelligence
    Location Data Analysis
    Visual intelligence drives better decisions
    Visual Intelligence
    Better Decisions
    24
  • 25. 25
  • 26.
  • 27. Map a
    relevant area
    Visualize to
    find meaning
    Collaborate
    with others
    Publish and
    share results
    Layer, Modify,
    and Analyze
    Find
    interesting data
  • 28. GeoReferencing Process
  • 29. GeoCommons Finder!
  • 30. Easily Collect Data Once
  • 31. Upload Data Files
  • 32. Upload Data Files
  • 33. Link to Data Feeds
  • 34. Copy and Paste Text
  • 35. Data Attribute Coercion
  • 36. Geographic Attribute Identification
  • 37. Geospatial Attribute Identification
  • 38. Geospatial Taxonomy Identification
  • 39. Verification
  • 40. Add MetaData
  • 41. Data Sharing
  • 42. Data Attributes
  • 43. Data Description with Metadata Standards
  • Data Sharing with Common, Open Standards
  • Data Sharing via Map Making
  • 54. Data Sharing via Map Making
  • 55. Data Sharing via Map Making
  • 56. Data Sharing via Map Making
  • 57. Data Sharing via Map Making
  • 58. Data Sharing via Map Making
  • 59. Data Sharing via Map Making
  • 60. Data Sharing via Map Making
  • 61. Data Sharing via Map Making
  • 62. Data Sharing via Map Making
  • 63. Visualization
  • 64. Combine Multiple Datasets
  • 65. Analysis
  • 66. Search
    58
  • 67. Find
    59
  • 68. Inspect
    60
  • 69. Map basic information
    61
  • 70. Add additional information
    62
  • 71. Filter data to find trends
    63
  • 72. Quantify relationships
    64
  • 73. Data into GeoIQ
    Data out of GeoIQ
    Maps out of GeoIQ
    65
  • 74. Visual Intelligence
    Correlation
    Thematic Mapping
    Temporal Analysis
    Text Geoparsing
    66
  • 75. Embed the map into existing collaboration tools or as a standalone dashboard
    67
  • 76. Thank you
    Sean Gorman
    sean@fortiusone.com
    http://blog.fortiusone.com

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