Spatial Intelligence – New ideas for Integrating GIS Across the Enterprise © GeoAnalytics, Inc. 2008, all rights reserved

A Strategic Direction Data Information Knowledge Understanding Intelligence

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”

ANALYTICS Business Intelligence Analytical Intelligence Risk Analysis Decision Support Performance Management Spatial Non-Spatial SOURCE 1 Spatial Non-Spatial SOURCE 2 Spatial Non-Spatial SOURCE 3 Metadata Intersection of Intelligence and GIS Reports Dash Boards Data and Application Services DataMarts DataMarts Dimensional Data Stores DataRepository ETL Profiling Access Quality Enrichment SOA / XML Monitoring

Managing Data Quality Monitor & Manage Profile & Quantify Cleanse,Validate,Improve Integrate & Organize Enrich & Value Add EnterpriseData Master Data Management Adapted from DataFlux®

Technology to Manage Data Quality

Traditional Analytics Spatial Analytics Traditional Analytics Spatial Analytics Spatial Database DatabaseDatabase AddressValidationAddressValidation Cluster ClusterAnalysis Analysis Forecasting ForecastingAnalysis Analysis Network Analysis Predictive PredictiveLocation Location GeocodingGeocoding Buffer BufferAnalysis Analysis Financial FinancialAnalysis Analysis Predictive PredictiveAnalysis Analysis Regression Regression ScorecardingScorecarding Operations Research Operations Research IT Value Management StatisticalStatistical 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

Sample Data Public Health

Sample 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 Services Centers 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 Services Centers For Disease Control BioSense Home Page Source: SAS

BioSense Health Indicators Page Syndrome-Specific Maps Source: SAS

Drill-Down Layers 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

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