The document outlines the importance of integrating geo-enabled data into regular enterprise workflows to enhance decision-making and identify trends. It emphasizes the need for visual intelligence to convert location data into actionable insights, demonstrating its value through ROI and improved user empowerment. Additionally, it highlights practical steps for data sharing and collaboration to maximize the utility of geographic information.

1. How to Get the Enterprise to Care about the GeoWeb:The Value of Location-based InformationSean Gorman

2. Step OneStop thinking of geo as special and different

3. Geo should be part of the regular data workflow

4. Step TwoEnterprise 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 ThreePushpins are not enough

9. Location alone is not enough

10. Step FourDemonstrate 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 FiveEmpower 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 makers19

20. Overwhelmed by data20

21. Unhealthy AQI DaysData gets lost in Spreadsheets21

22. Visual Intelligence enables better decisions22

23. Identify trends and drivers23

24. FortiusOne’sGeoIQ translates location data analysis into visual intelligenceLocation Data AnalysisVisual intelligence drives better decisionsVisual IntelligenceBetter Decisions24

25. 25

27. Map arelevant areaVisualize to find meaningCollaborate with othersPublish and share resultsLayer, Modify,and AnalyzeFind 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 StandardsFGDC

44. ISO 19115

45. Microformats

46. Meta

47. HyperlinksData Sharing with Common, Open StandardsKML

48. Shapefile

49. CSV

50. Atom

51. JSON

52. WFS

53. SpatialiteData 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. Search58

67. Find59

68. Inspect60

69. Map basic information61

70. Add additional information62

71. Filter data to find trends63

72. Quantify relationships64

73. Data into GeoIQData out of GeoIQMaps out of GeoIQ65

74. Visual IntelligenceCorrelationThematic MappingTemporal AnalysisText Geoparsing66

75. Embed the map into existing collaboration tools or as a standalone dashboard67

76. Thank youSean Gormansean@fortiusone.comhttp://blog.fortiusone.com