spatial intelligence – new ideas for integrating gis across the enterprise © geoanalytics, inc....
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Spatial Intelligence – New ideas for Integrating GIS Across the Enterprise
© GeoAnalytics, Inc. 2008, all rights reserved© GeoAnalytics, Inc. 2008, all rights reserved
A Strategic Direction
DataData
InformationInformation
KnowledgeKnowledge
UnderstandingUnderstanding
IntelligenceIntelligence
Key Concepts – Business Intelligence and Analytic Intelligence• Business intelligence is the use of information
that enables organizations to best decide, measure, manage and optimize performance to achieve efficiency and financial benefit (Gartner Business Intelligence Summit 2007)
• Analytic (Predictive) Intelligence builds on previous experience, metrics, relevant variables, and circumstances to model future outcomes
Key Concepts – Spatial Intelligence
• Spatially Enabled Business and Predictive Intelligence adds the geographic dimension to analytics and visualization
• Spatial Intelligence Brings:
– Context
– Understanding
– Coherency
Key Concepts – Spatial Intelligence
• Spatially Enabled Business Intelligence and Predictive Intelligence is about strategic alignment to create outcomes, not just outputs
• Organizations must evolve from “what we think” to “what we know”
ANALYTICSANALYTICS
Business Intelligence
Analytical Intelligence
Risk Analysis
Decision Support
Performance
Management
SpatialSpatialNon-Non-
SpatialSpatial
SOURCE 1
SpatialSpatial Non-Non-SpatialSpatial
SOURCE 2
SpatialSpatial
Non-Non-SpatialSpatial
SOURCE 3
MetadataMetadata
Intersection of Intelligence and GIS
Reports
DashBoards
Data andApplication
ServicesData Data MartsMarts
Data Data MartsMarts
DimensionalDimensionalData StoresData Stores
DataDataRepositoryRepository
ETL
ProfilingProfiling
AccessAccess
QualityQuality
EnrichmeEnrichmentnt
SOA / XMLSOA / XML
MonitorinMonitoringg
Managing Data Quality
Monitor Monitor &&
ManageManage
Profile &Profile &QuantifyQuantify
Cleanse,Cleanse,Validate,Validate,ImproveImprove
Integrate Integrate & &
OrganizeOrganize
Enrich & Enrich & Value Value AddAdd
EnterpriseEnterpriseDataData
Master Data Management
Adapted from DataFlux®
Technology to Manage Data Quality
Traditional Traditional AnalyticsAnalytics
Spatial AnalyticsSpatial Analytics
Traditional Traditional AnalyticsAnalytics
Spatial AnalyticsSpatial Analytics
Spatial Spatial DatabaseDatabaseSpatial Spatial
DatabaseDatabase
DatabaseDatabaseDatabaseDatabaseAddressAddress
ValidationValidationAddressAddress
ValidationValidation
ClusterClusterAnalysisAnalysis ClusterClusterAnalysisAnalysis
ForecastinForecastin
ggAnalysisAnalysis
ForecastinForecastin
ggAnalysisAnalysis
Network Network AnalysisAnalysisNetwork Network AnalysisAnalysis
PredictivePredictiveLocationLocation
PredictivePredictiveLocationLocation
GeocodingGeocodingGeocodingGeocoding
BufferBufferAnalysisAnalysis BufferBuffer
AnalysisAnalysis
FinancialFinancialAnalysisAnalysis
FinancialFinancialAnalysisAnalysis
PredictivePredictiveAnalysisAnalysis
PredictivePredictiveAnalysisAnalysis
RegressionRegression
RegressionRegression
ScorecardiScorecardingng
ScorecardiScorecardingng
Operations Operations ResearchResearch
Operations Operations ResearchResearchIT Value IT Value
ManagemeManagementnt
IT Value IT Value ManagemeManageme
ntnt
StatisticalStatisticalStatisticalStatistical
The Intersection of Traditional and Spatial Analytics
So Why Is This Important?
Public Health Information Network
Public Health Information Network: OLAP – Asthma Data Cube
Public Health Information Network: OLAP – Asthma Data Cube Bar Chart
Public Health Information Network: OLAP and GIS Integration
Public Health Information Network: OLAP and GIS Integration
Public Health Information Network: OLAP and GIS Integration
Sample DataSample Data
Public Health
Sample DataSample Data
Public Health
Bureau of Land Management
Human Resource and Financial Management Spatial Intelligence
Human Resources at BLM
Source: BLM and SAS
Centers For Disease Control and Prevention
Health Situational Awareness
U.S. Department of Health and Human ServicesCenters For Disease Control and Prevention
Goal: To enable health situational awareness through access to existing data from healthcare organizations across the country.
Source: SAS
Region Selection
U.S. Department of Health and Human ServicesCenters For Disease Control BioSense Home Page
Source: SAS
BioSense Health Indicators PageSyndrome-Specific Maps
Source: SAS
Drill-DownLayers
Lab Orders
And Test Results
BioSense Display of Laboratory Data
Source: SAS
City of Charlotte-Mecklenburg County, North Carolina
Environmental Data Management System
City of Charlotte-Mecklenburg County
City of Charlotte-Mecklenburg County
City of Charlotte-Mecklenburg County
City of Charlotte-Mecklenburg County
Conclusion
• New ways of managing information and making use of data
• Spatial as a key component to OLAP
• Distributed storage models
GeoAnalytics, Inc.
Contact Information
GEOANALYTICS, INC.
David Mockert
Director of State and Local Practice
GEOANALYTICS.COM