1. GIS & GASB 34 Implementation: A Perfect Match Carmi Neiger ESRI - Chicago

2. Topics Who is ESRI What is GIS The Truth about Spatial Data The Municipal Spatial Data Model Taming GIS Management Issues

3. ESRI Environmental Systems Research Institute HQ in Redlands, CA Pioneer in Geoprocessing 30+ Years of Experience Privately Owned/Zero Debt 2000 Revenues - $350 Million

4. ESRI 220,000+ Clients of ESRI Software More than a Million Users Over 20% growth per year for the past 5 years

5. What Is GIS? GIS is an abbreviation for geographic information systems, computer software that maps and analyzes geographic, i.e., spatial data.

6. Generic GIS Map Overlay Model Thematic Map Layers Associated DataTables Municipal Boundaries Sensitive Habitats Contamination Soils Roads Water Pipes Transmission Lines Existing Gas Wells Existing Water Wells Residences Vegetation Land Use

7. Generic GIS Map Overlay Model Thematic Map Layers Associated DataTables Maps Linked to Data

8. Maps that tell a story Maps help in finding patterns – especially patterns and trends that aren’t easily portrayed in other forms Maps allow us to visualize data from many different sources GIS creates spatial relationships between otherwise unrelated data Because everything you manage is somewhere …

9. Spatial Data Locational –Address –Coordinates Latitude-Longitude State Plane Other, e.g., grid system –Co-located with feature having known location

10. From Spatial Data to GIS Data becomes relevant to the GIS when its spatial component becomes part of its definition … that is … When where it is, is important to what it does.

11. What makes up GIS data? Three primary data types –Vector (Maps) –Raster (Images) –Tabular (Non-graphic)

12. What makes up GIS data? Vector data includes –Digital planimetric features ROWs Hydrography Railroads –Contours –CAD drawings –Cadastral (parcel) data

13. What makes up GIS data? Raster data includes: –Aerial photography –Scanned maps –Scanned documents and images

14. What makes up GIS data? Tabular data includes: –Non-graphic databases –Spreadsheets –Other applications

15. GIS – Data Chicken or Egg? Data provider –GIS system is primary local source Aerial photos Cadastral & planimetric data Data receiver –Other systems are primary sources Tabular (feature attribute) data CAD drawings

16. GIS – Data Chicken or Egg? Data integrator –QA/QC function Data scrub Validation/verification Completeness –Spatial integration Spatial operators Analysis Reporting

17. Is GIS data GASB 34 data?

25. Redefining the Spatial Data Model Use of spatial data Location of spatial data Versions of spatial data Management of spatial data

26. Use of spatial data: –Department Location of spatial data: –Stovepipe/Silo Versions of spatial data: –Redundant Management of spatial data: –Ownership Redefining the Spatial Data Model

27. TM Revenue Planning Public Works Public Facilities Police Fire General Plan Land Use Zoning BuildingCadastral/Survey Records Permits Inspections Address Master Utility Meters Business License Owner Address Irrigation Aesthetics Landscape Beats Crime Incidents Reporting Districts Hydrants Water Haz Mat Incidents Districts Parcels Ownership Appraisal Districts Water Infrastructure Sewer Infrastructure Storm Drain System Street Infrastructure Population Hospitals Health Trends Health Municipal GIS Current Municipal Data Model

28. TM Revenue Planning Public Works Public Facilities Police Fire General Plan Land Use Zoning BuildingCadastral/Survey Records Permits Inspections Address Master Utility Meters Business License Owner Address Irrigation Aesthetics Landscape Beats Crime Incidents Reporting Districts Hydrants Water Haz Mat Incidents Districts Parcels Ownership Appraisal Districts Water Infrastructure Sewer Infrastructure Storm Drain System Street Infrastructure Population Hospitals Health Trends Health Municipal GIS

29. Use of spatial data: –Department Location of spatial data: –Stovepipe/Silo Versions of spatial data: –Redundant Management of spatial data: –Ownership Redefining the Spatial Data Model

30. Use of spatial data: –Department  Enterprise Location of spatial data: –Stovepipe/Silo  Shared DBMS Versions of spatial data: –Redundant  Current master Management of spatial data: –Ownership  Stewardship Redefining the Spatial Data Model

31. TM Revenue Planning Data Server Public Works Public Facilities Police Fire General Plan Land Use Zoning Building Streets Parcels Address Census Utilities Elevations Aerials Municipal Enterprise Base Data Cadastral/Survey Records Permits Inspections Address Master Utility Meters Business License Owner Address Irrigation Aesthetics Landscape Beats Crime Incidents Reporting Districts Hydrants Water Haz Mat Incidents Districts Parcels Ownership Appraisal Districts Water Infrastructure Sewer Infrastructure Storm Drain System Street Infrastructure Population Hospitals Health Trends Health Municipal GIS

32. How does GIS assist GASB 34 compliance? Central repository for spatial data –Access –Credibility –Stewardship Function-specific GUIs (interfaces) –Data entry/maintenance –Validation –Query –Reporting Flexible platform for inventory/asset management applications

33. Carmi’s Law Technology is always ahead of the organization’s ability to use it effectively. Here’s Why …

34. Info. Systems Management Line Operations The Bermuda Triangle

35. GIS Program Management to Support GASB 34 Two-tier structure is useful –Policy Committee –Technical Committee Executive-level buy-in Maintains link between projects and funding sources

36. GIS Program Management to Support GASB 34 Policy Committee –Membership GIS manager Board representatives Department heads IS director –Quarterly meetings

37. GIS Program Management to Support GASB 34 Technical Committee –Membership GIS Manager GIS staff Departmental liaisons IS representative Outside consultant (if appropriate) –Monthly meetings Sets agenda for Policy Committee

38. GIS Program Management to Support GASB 34 Role of Information Systems –Best ally or worst enemy –Define areas of responsibility –Ownership vs. stewardship Hardware and network resources Data Non-GIS operations support systems –Obtain executive-level concurrence

39. Things to avoid Data collection – the arrow paradox Techno-superiority/techno-secrecy Disrespecting your audience Don’t be a casualty of: –Inter-departmental crossfire –Unrealistic project goals

40. Background radiation Departmental issues –Inter-departmental competition –Historical rivalry/enmity –Prestige –Community recognition –Resources –Show me the money!

41. Background radiation Intra-departmental issues –Intransigent “Old Guard” –Not invented here –The Peter Principle –Parkinson’s Law –Employee rivalries –Personal conflicts

42. Why do GIS? ¢Cost savings from operational efficiencies  Promote data sharing and reduce data redundancy  Enhanced capabilities & new applications  Enhanced communication  Facilitate better decision-making

43. Why do GIS? $Supporting the GASB 34 process ¢Cost savings from operational efficiencies  Promote data sharing and reduce data redundancy  Enhanced capabilities & new applications  Enhanced communication  Facilitate better decision-making

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