Google Dashboard

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for MAQIEM
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Agenda

• Google Dashboard
• What we want
• What we do
• Where we are going
• DEMO

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Definition
Google Dashboard is the capacity to combining
spatial data with other business data in order to
gain critical insights, make better decisions
and optimize important processes and
applications
Source http//en.wikipedia.org/wiki/Thematic_map
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Thematic maps
Thematic maps are maps that tell a story about a
place more than merely describe where something
is located in space
Source From Place to Space The Psychological
Achievement in Thematic Mapping, Barbara
Petchenik. 1979 - American Cartographer 1 Barbara
Petchenik (1979).
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An old idea (1)
1852Cholera Map
Dr. John Snow, Physician
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An old idea (2)
1869Napoleons Russian Campaign 1812
Charles Joseph Minard, Engineer
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in a new context
Google Dashboard
Business Data visualization distribution data
integration DWH ODS
Spatial Data visualization data management vector
data raster data
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Two worlds coming together
Google Dashboard
?
Business Data visualization distribution data
integration DWH ODS
Spatial Data visualization data management vector
data raster data
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Perception barriers tactical vs strategic buying

• High perceived TCO
• No dedicated budget
• Other analytical priorities
• Difficult change management
• Internal skills shortage

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External drivers
Growing awareness of location-enabled
services The availability of high-quality,
current and complete data The rise of web
services as a better-faster-cheaper deployment
model
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Internal drivers
Better business decisions Everything is related
to everything else, but near things are more
related than distant thingsFirst law of
geography - Waldo Tobler Spatial data are
pervasive 80 of all data stored in corporate
databases have a spatial component An
introduction to GIS linking maps to databases -
FranklinAl.
Valorize a dormient asset
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Who is it for?
Communications Media InsuranceFinance GovernmentServices
Marketing micro-marketing assessing penetration levels identifying competitive threats Portfolio Analysis predictive analytics pricing and loss reserving assessing policy saturation Address Management address validation data cleansing data maintenance
Customer Service pre-sales qualification dispatch efficiencies multi-product eligibility Marketing Services property-level campaigns neighborhood context repeat marketing tracking Information Integration improved data integrity a one client view reducing cascading errors
Operations customer serviceability cost avoidance network planning Sustainable Compliance risk assessment improved monitoring compliance auditing reporting Entity Authentication fraud detection risk profiling and scoring advanced analytics
?
And much more industry, retailer, real estate,
utility, transportation
Who is it not for?
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Examples (1)
Source http//www.zoocasa.com/
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Examples (2)
Source http//sanfrancisco.crimespotting.org/
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GeoEngine
DWH
SQL, MDX
SVG Map Catalogue
GeoEngine
Custom WS
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GeoReportEngine
DWH
SQL, MDX
GeoReportEngine
WMS, WFS
GIS
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DEMO Manager
Login
Manager
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DEMO Manager
Dashboard documents
Manager
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DEMO Manager
Analytical documentsPerformance by area
Manager
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DEMO Manager
Analytical documentsPerformance by area
Manager
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DEMO Sales Director
Analytical documentsPerformance by area
Manager
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DEMO Admin
Admin
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DEMO Admin
Admin
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DEMO Admin
Admin
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DEMO Admin
Admin
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QA
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Thanks
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