Geo Web F1 Enterprise

Sean Gorman

How to Get the Enterprise to Care about the GeoWeb:

The Value of Location-based Information

Step One

Stop thinking of geo as special and different

Geo should be part of the regular data workflow

Step Two

Enterprise data needs to be dynamically geo-enabled

Geo-enabling data needs to be simple

Geo-enablement needs to be a commodity

The case for geo-enablement as a public good

Step Three

Pushpins are not enough

Location alone is not enough

Step Four

Demonstrate ROI

Make money, save money, beat the competition

Replace proprietary data with public domain data

Replace consultants with technology

Create new revenue streams in the enterprise

Step Five

Empower users to act and not just view

A storm surge map is good to know

Knowing where you will be impacted is critical

GeoIQ as a Case Study

Decision makers

19

Overwhelmed by data

20

21

Unhealthy AQI Days

Data gets lost in Spreadsheets

22

Visual Intelligence enables better decisions

23

Identify trends and drivers

Location Data Analysis

Visual Intelligence

Better Decisions

FortiusOne’s GeoIQ translates location data analysis into visual

intelligence

Visual intelligence drives better decisions

24

25

Find interesting

dataMap a

relevant areaVisualize to find meaning

Collaborate with others

Publish and share results

Layer, Modify,and Analyze

GeoReferencing Process

GeoCommons Finder!

Easily Collect Data Once

Upload Data Files

Upload Data Files

Link to Data Feeds

Copy and Paste Text

Data Attribute Coercion

Geographic Attribute Identification

Geospatial Attribute Identification

Geospatial Taxonomy Identification

Verification

Add MetaData

Data Sharing

Data Attributes

Data Description with Metadata Standards

• FGDC• ISO 19115• Microformat

s• Meta• Hyperlinks

Data Sharing with Common, Open Standards

• KML• Shapefile• CSV• Atom• JSON

• WFS• Spatialite

Data Sharing via Map Making

Data Sharing via Map Making

Data Sharing via Map Making

Data Sharing via Map Making

Data Sharing via Map Making

Data Sharing via Map Making

Data Sharing via Map Making

Data Sharing via Map Making

Data Sharing via Map Making

Data Sharing via Map Making

Visualization

Combine Multiple Datasets

Analysis

Search

58

Find

59

Inspect

60

Map basic information

61

Add additional information

62

Filter data to find trends

63

Quantify relationships

64

Data into GeoIQ Data out of GeoIQ

Maps out of GeoIQ

65

Visual Intelligence

Correlation

Temporal Analysis Text Geoparsing

Thematic Mapping

66

Embed the map into existing collaboration tools or as a standalone dashboard

67

Thank you

Sean Gormansean@fortiusone.com

http://blog.fortiusone.com