Upload
seagor
View
4.710
Download
0
Tags:
Embed Size (px)
DESCRIPTION
FortiusOne presentation on how to get the enterprise (fortune 500) to care about geospatial technology
Citation preview
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