<Insert Picture Here> Location Intelligence: Delivering Actionable Analysis for Decision Making

Transcription

1 <Insert Picture Here> Location Intelligence: Delivering Actionable Analysis for Decision Making Xavier Lopez, Director, Product Management

2 Agenda Some definitions Integrating Business Intelligence within transportation Case examples Oracle Spatial Feature Update Summary

3 What is Business Intelligence? Technologies for the collection, integration, analysis, and presentation of business information Reporting Data Warehouse, Data Marts, Data Mining Executive Dashboards Business Performance Monitoring AKA: Decision Support Systems (DSS) Separate from operational (transactional) systems Purpose: Support better business decision making Lead BI Vendors (recent acquisitions): IBM (Cognos) Oracle (Hyperion & Siebel) SAP (Business Objects)

4 Applying Location Intelligence in DoTs 1. Highway Asset Monitoring Maintenance & Construction Business Analytics Business activity monitoring (BAM) Executive dashboards, Regulatory compliance

5 Reporting, Analytics & Data Mgmt.

6 Provide Answers to Decision Makers: What is the current depreciation, by location, of our infrastructure? Where is the integrity of our infrastructure under highest threat from environmental and human factors? Where should we upgrade our bridges first? What are estimated costs of alternative construction designs?

7 The Right Tools for the Job: From GIS to

8 Business Intelligence Framework

9 Integrated Analytical Platform Single Data Management Environment for multiple analytical purposes RDBMS Data Warehousing ETL OLAP Geo-Spatial

10 Query Performance Slower Query Without OLAP Query Performance With OLAP Faster Query Less Ad-Hoc Predictable Queries Simple Calculations More Ad-Hoc Unpredictable Query Patterns Sophisticated Calculations Ad-Hoc Nature of Application and Query Patterns

11 Some Examples of Location Intelligence

12 Operational Systems: Field Service Call Centers (CRM)

13 CRM Territory Management Search All You are logged in as <UserName> Home > Sales6 My Worklist (19)6 Favorites6 Preferences Help Logout Edit Hierarchy : Structure Territories Hierarchy Name XML Hierarchy Start Date 01-JAN-2008 End Date 31-DEC-2008 Specify Hierarchy Details Maintain Territories Review Changes Cancel Version 1 Status Planned Back Next Save Submit Action6 View6 Territory Tree XML Hierarchy CA Territories Bay Area Region North California South California NY Territories New York City Manhattan Strategic Accts Apple Inc Smart Corp Territory Details Start Date 01-JAN JAN JAN JAN JAN JAN JAN JAN JAN JAN JAN-2008 Action End Date 31-DEC DEC DEC DEC DEC DEC DEC DEC-2008 View Territory Coverage 5 : Bay Area 1 Region 31-DEC-2008 Action6 View6 Action 3 Show Territory 1 Coverage Close 31-DEC DEC-2008 Rank Winner Map Territory Name Bay Area Region Parent Territory CA Territories Description Bay Area Region Rank 1 Start Date 01-JAN-2008 Winner 1 End Date 31-DEC-2008 Matching Criteria Action6 View6 Action Rule Attribute Condition Value1 Value2 Value3 <Table Section> 1 Region Equal to BayArea Resources and Resource Privileges Action6 View6 Action Resource Type Resource Role Group Start Date End Date Action6 View6 Action Account Contact Lead Opportunity Order

14 Business Analytics: Executive Dashboards

15 Dashboards: Mapping BI Information

16 Trip Reporting & Analysis

17 Field Service Vehicle Location

18 Service Vehicle Logging

19 US Postal Service Relocation Application

20 Geospatial Business Intelligence Geometry buffering with relational data integration

21 R.L. Polk Market Intelligence

22 Location-enabled Enterprise IT Service Architecture Core IT Software Infrastructure Business Apps & Services Exec. Dashboards Spatial Database Application Server Business Intelligence Solution Customer Care Regulatory Compliance Spatial Types Vector Raster Networks 3D Spatial Analysis Network Trace Buffer, etc. Standards SQL, W3C, OGC Integration Bus Orchestration & Workflow BPM Map rendering Web Services Caching & connection pooling Business Intelligence Work & Asset Management Safety Analysis Pavement Management Bridge Maintenance Performance Monitoring Mobile Delivery Web Services

23 Oracle Spatial 11g Enables Scrollable, Interactive Maps Spatial Web Services 3D, Point Clouds, and LIDAR Open Location Service Geocoding & Routing Oracle BI Dashboards Raster Imagery

24 Linear Referencing (LRS) Commonly used in many GIS applications such as: transportation (road network) utilities (pipeline and gas lines) Mile Post 60 Mile Post 0 Mile Post 27 (55,20,60) (50,15,53.8) (5,10,0) (30,10,27) (45,10,44) (15,5,11.2) (40,5,38)

25 Network Data Model New data model to store network (graph) structure in the database Network consists of links and nodes Explicitly stores and maintains connectivity of the network Attributes at link and node level Logical or geographical network Provide network analysis functionality in the database Shortest path, connectivity analysis, etc. N1 L1 N2 L2 N3 -L3 L7 L9 L10 L3 N4 N5 N6 L8 L6 L11 L4 L5 -L4 N7 -L6 N8 -L5 N9

26 GeoRaster A data type to store raster data Satellite images, remote sensing data Multi-band, multi-layer An XML schema to store Metadata Data source, layer information Geo Referencing information Functionality storage and indexing of raster data No size limit for each raster object Generate resolution pyramid query and analysis delivering to external consumers Publish as JPEG, GIFF images

27 3D Functionality in Oracle Spatial 11g 3D COORDINATE SYSTEMS Types SDO_GEOMETRY (3D) SDO_TIN SDO_POINT_CLOUD Building Models,.. Surface Modeling Scene, Efficient Storage Query Analysis Object Modeling

28 Moving to 3D Analytics

29 Benefits of Location Enabling Transportation Applications: A Summary Lower Cost of Ownership Minimize cost of separate software programs Manage business and spatial data centrally Minimize separate proprietary app interactions; share common information models and user interaction Increases productivity and streamline workflow processes Reduce maintenance, support costs Reduce Risk Eliminate proprietary silos, centralize administration Secure and reliable; minimize points of failure Open standards based: JSP, Java Scripting; no proprietary data types. Supported by leading tool vendors Scalable: Supports terabytes through use of Grid computing

30 To find out more... Or me..