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Using Data Interoperability to
Realize Effective Data
Toni Jackson
GIS Tech II
Larry Phillips
GIS Tech II
Data Integration
Aggregated through ArcGIS
Obstacles to Conversion
Account
Mainframe
Billing
Mainframe
Impact Fees
Access
Mapping
Microstation
Hansen ArcGIS
Microstation Labels to Arc
Attributes
Problem: Sewer Lateral
distance labels on Microstation.
Microstation
170,891 Tap distance pulled into field in Arc
Arc
Microstation Labelinator
Canvas
Point Snapper
Problem: Sewer Lateral Points
stacked on Address Points.
One Sewer Lateral
Point – One Sewer
Lateral Line.
211,000 points moved
Point Snapper Canvas
No Topology or Know Topology
Custom Transformers
Effective Data
Usability of Data
 Presentation
 Ease of Manipulation
 Consistent across multiple
sources
Intelligence
 Correctness
 Amount of data available
Remote accessibility
 Extent to which it can be
accessed
Barua, A., Mani, D., Mucherjee, R. (2010) Impacts of effective data on business innovation and growth
Quality of Data
Accuracy
Scope
Timeliness
Recency
Doing More With Less
11,000 miles of main
Over 3,000,000
features
465,000 customers
Over 320 facilities
GIS Staff of 1630 feature classes
Effective Data affects all of
SAWS
•Billing
•Distribution & CollectionsAccuracy
•Customer Service
•Engineering
•Conservation
•Real Estate
Usability
•5 Service Centers
•3 Sewer Treatment Centers
•Lots of work crews
Accessibility
Doing More with Less
Main Updates Tool $4368
Point Snapper $54,880
Road Compare $4860/mo.
Road Parcels $1000
Duplicate check $9360/mo.
Labelinator $22,500
Hansen QA/QC $120,600/yr
QA/QC Reporter $3900/yr
Customer Check ~$25,000
Microstation Labels Contracted out
Countless other tools unlimited
Thank You!
 Questions?
 For more information:
 Toni Jackson
 San Antonio Water
System
 (210) 233-3784
 tjackson@saws.org
 www.saws.org
 Larry Phillips
 San Antonio Water
System
 (210) 233-3897
 lphillips@saws.org
 www.saws.org

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Using Data Interoperability to Realize Effective Data

  • 1. Using Data Interoperability to Realize Effective Data Toni Jackson GIS Tech II Larry Phillips GIS Tech II
  • 4. Obstacles to Conversion Account Mainframe Billing Mainframe Impact Fees Access Mapping Microstation Hansen ArcGIS
  • 5. Microstation Labels to Arc Attributes Problem: Sewer Lateral distance labels on Microstation. Microstation 170,891 Tap distance pulled into field in Arc Arc
  • 7. Point Snapper Problem: Sewer Lateral Points stacked on Address Points. One Sewer Lateral Point – One Sewer Lateral Line. 211,000 points moved
  • 9. No Topology or Know Topology
  • 11. Effective Data Usability of Data  Presentation  Ease of Manipulation  Consistent across multiple sources Intelligence  Correctness  Amount of data available Remote accessibility  Extent to which it can be accessed Barua, A., Mani, D., Mucherjee, R. (2010) Impacts of effective data on business innovation and growth Quality of Data Accuracy Scope Timeliness Recency
  • 12. Doing More With Less 11,000 miles of main Over 3,000,000 features 465,000 customers Over 320 facilities GIS Staff of 1630 feature classes
  • 13. Effective Data affects all of SAWS •Billing •Distribution & CollectionsAccuracy •Customer Service •Engineering •Conservation •Real Estate Usability •5 Service Centers •3 Sewer Treatment Centers •Lots of work crews Accessibility
  • 14. Doing More with Less Main Updates Tool $4368 Point Snapper $54,880 Road Compare $4860/mo. Road Parcels $1000 Duplicate check $9360/mo. Labelinator $22,500 Hansen QA/QC $120,600/yr QA/QC Reporter $3900/yr Customer Check ~$25,000 Microstation Labels Contracted out Countless other tools unlimited
  • 15. Thank You!  Questions?  For more information:  Toni Jackson  San Antonio Water System  (210) 233-3784  tjackson@saws.org  www.saws.org  Larry Phillips  San Antonio Water System  (210) 233-3897  lphillips@saws.org  www.saws.org