1. Using Data Interoperability to Realize Effective Data Toni Jackson GIS Tech II Larry Phillips GIS Tech II

2. Data Integration

3. Aggregated through ArcGIS

4. Obstacles to Conversion Account Mainframe Billing Mainframe Impact Fees Access Mapping Microstation HansenArcGIS

5. Microstation Labels to Arc Attributes Problem: Sewer Lateral distance labels on Microstation. Microstation 170,891 Tap distance pulled into field in Arc Arc

6. Microstation Labelinator Canvas

7. Point Snapper Problem: Sewer Lateral Points stacked on Address Points. One Sewer Lateral Point – One Sewer Lateral Line. 211,000 points moved

8. Point Snapper Canvas

9. No Topology or Know Topology

10. Custom Transformers

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 & Collections Accuracy 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 LabelsContracted out Countless other toolsunlimited

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