THE VALUE OF MIXING GIS AND BUSINESS INTELLIGENCE ARCHITECTURES

Size: px

Start display at page:

Download "THE VALUE OF MIXING GIS AND BUSINESS INTELLIGENCE ARCHITECTURES"

Melinda Allison
8 years ago
Views:

1 THE VALUE OF MIXING GIS AND BUSINESS INTELLIGENCE ARCHITECTURES GIS for Transportation Symposium March 2006 Columbus, OH presented by Tom Ries, Senior Consultant GeoAnalytics, Inc GeoAnalytics, Inc # 1

March 2006 Columbus, OH presented by Tom Ries,

2 Presentation Topics 1. Business Intelligence Architectures 2. DW/BI and GIS Value 3. DW/BI and GIS-T Strategies 4. Concluding Remarks # 2

3 General BI/DW Architecture # 3 Wedbush Morgan Securities, Dec 2005

4 DW/BI Available Tools # 4 Wedbush Morgan Securities, Dec 2005

5 DW/BI GIS Tool Integration: ESRI Example Web Integration o o Information Builders GBIS SAS Web Report Studio (coming) OLAP for ArcGIS Add-On o SAP, SAS, Microsoft Relationships with Business Objects, Cognos # 5 Wedbush Morgan Securities, Dec 2005

for ArcGIS Add-On o SAP, SAS, Microsoft Relationships with

6 Why Care? $ 4 Billion Industry ($316M Public) (SAS Institute) #10 to #2 CIO Priority (Nov 05, Gartner) Government Sector Growth (BPM) BI/DW Talk to the C s Brother and Sister Relationship o o BI/DW: Aspatial GIS: Spatial GIS-DW/BI Vendor Relationships # 6

7 # 7 GIS and DW/BI Value

8 GIS and DW/BI Value Data Profiling Florida DACS Example Fall 2005 # 8

9 # 9

10 # 10

11 GIS and DW/BI Value Data Integration (ETL) Florida DACS Example Fall 2005 # 11

12 # 12

13 # 13

14 Compare/Choose Facility Proximity in ETL # 14

15 GIS and DW/BI Value Data Analysis (OLAP) # 15

16 On-Line Analytical Processing (OLAP, Cube, Pivot, ) # 16 gis.esri.com/library/userconf/proc02/pap0387/p0387.htm

17 GIS-T and the BI Geography Dimension 1. National 2. State 3. Region 4. County 5. Local 6. Corridor 7. Facility Segment # 17

18 Baltimore Crash Incident Analysis Example ESRI and Information Builders (OLAP), June 2005 # 18

19 Baltimore Crash Incident Analysis # 19

20 Baltimore Crash Incident Analysis # 20

21 Baltimore Crash Incident Analysis # 21

22 Baltimore Crash Incident Analysis # 22

23 GIS and DW/BI Value Business Performance Management (BPM) Support # 23

Customer Satisfaction Responsiveness Customer Satisfaction # 24 Customer Satisfaction by District Cost by District

24 Performance Measurement Key Indicators Customer Satisfaction Roadside Maintenance Roadside Maintenance Customer Satisfaction Roadside Debris Pick-Up Customer Satisfaction Surface Maintenance Customer Satisfaction Roadside Signage Customer Satisfaction Responsiveness Customer Satisfaction # 24 Customer Satisfaction by District Cost by District Customer Satisfaction by Parish Spend by House District Project Completion: Surface Dist. 58 Maintenance Cost per Mile Roadside Signage

25 Performance Measurement dashboard.virginiadot.org # 25

26 # 26 DW/BI and GIS-T Strategies

27 DW/BI-GIS: Kansas DOT Top Down 1. Why: Executive GE Initiative 2. DW/BI Technology: Oracle Warehouse Builder, ETL, and Oracle Spatial; Bus Objects / Crystal for Access 3. Status: a) DW contains Project, Crash, Traffic Data b) Access is business area resp; use KGATE (GI-based web portal) to access DW and lots of other data 4. Future: spatially enabled sources; expand to finance, HR Information; x,y in all marts 5. Contact: Jeanette Branam, jeanette@ksdot.org # 27

28 DW/BI-GIS: Maine DOT Mixed 1. Why: Business Specific Initiatives 2. TIDE DW/BI Technology: Custom Oracle SP for ETL, Hummingbird BI 3. Status: TIDE DW (GIS), Fin DW (Bus), MATS DW (Bus) 4. Future: DW Integration Performance Dashboard 5. Contact: Cindy Owings, # 28

29 GIS-DW/BI Strategies - Informal 1. BI Architecture Exists a) Be Educated: OLAP, ETL, etc. b) Educate: Location Dimension, Spatial ETL, etc. c) Use Tools Ad Hoc, Prototype 2. BI Architecture Does Not Exist a) Are you sure? (Oracle, MS) b) Our Own GW/GI Successes (portals, etc) c) Acquire specific tools for specific purposes (data profiling) # 29

30 Concluding Remarks 1. Explore DW/BI GW/GI Relationships 2. DW/BI Value to GW/GI: Aspatial data profiling, ETL, Analytics (OLAP) 3. GW/GI Value to DW/BI: Spatially based data integration, Analytics (Spatial), and of course, Map Visualization 4. BI/DW References: TDWI, DCI, Location Intelligence # 30

31 THANK YOU! Tom Ries 1716 Fordem Avenue Madison, WI Phone: GEOANALYTICS.COM GeoAnalytics, Inc # 31

32 BI / DW Key Trends # Integration: EII / EIA / ETL 2. Vendor Evolution a) Consolidation b) Big Boy Infiltration (Oracle, MS, SAP ) 3. Master Data Management 4. Actionable BI 5. Visualization Gartner, Knightsbridge, TDWI

Business Intelligence, Predictive Analytics, and Geographic Information Systems

Spatial Intelligence The Intersection of Data Warehousing, Business Intelligence, Predictive Analytics, and Geographic Information Systems 1 GeoAnalytics, Inc. 2008, all rights reserved An Evolving Sensibility