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

Using Data Interoperability to Realize Effective Data

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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. Microstation Labels to Arc Attributes. Problem: Sewer Lateral distance labels on Microstation . Arc. - PowerPoint PPT Presentation

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Page 1: Using Data Interoperability to Realize Effective Data

Using Data Interoperability to Realize Effective Data

Toni JacksonGIS Tech II

Larry PhillipsGIS Tech II

Page 2: Using Data Interoperability to Realize Effective Data

Data Integration

Hansen (Oracle)

ArcGIS(SQL)

Account (Mainframe)

Access DB Tables

Microstation(.dgn)

Excel

Billing (Mainframe)

Page 3: Using Data Interoperability to Realize Effective Data

Aggregated through ArcGIS

HansenArcGIS

Billing

Microstation

Access DB

Excel

Account

Page 4: Using Data Interoperability to Realize Effective Data

Obstacles to Conversion

AccountMainframe

BillingMainframe

Impact Fees

Access

MappingMicrostatio

nHansen ArcGIS

Page 5: Using Data Interoperability to Realize Effective Data

Microstation Labels to Arc Attributes

Problem: Sewer Lateral distance labels on Microstation.

Microstation

170,891 Tap distance pulled into field in ArcArc

Page 6: Using Data Interoperability to Realize Effective Data

Microstation Labelinator Canvas

Page 7: Using Data Interoperability to Realize Effective Data

Point Snapper

Problem: Sewer Lateral Points stacked on Address Points.

One Sewer Lateral Point – One Sewer Lateral Line.211,000 points moved

Page 8: Using Data Interoperability to Realize Effective Data

Point Snapper Canvas

Page 9: Using Data Interoperability to Realize Effective Data

No Topology or Know Topology

Page 10: Using Data Interoperability to Realize Effective Data

Custom Transformers

Page 11: Using Data Interoperability to Realize Effective Data

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

Page 12: Using Data Interoperability to Realize Effective Data

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

Page 13: Using Data Interoperability to Realize Effective Data

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

Page 14: Using Data Interoperability to Realize Effective Data

Doing More with Less

Main Updates Tool $4368Point Snapper$54,880Road Compare$4860/mo.Road Parcels$1000Duplicate check$9360/mo.Labelinator$22,500Hansen QA/QC$120,600/yrQA/QC Reporter$3900/yrCustomer Check~$25,000Microstation LabelsContracted outCountless other tools unlimited

Page 15: Using Data Interoperability to Realize Effective Data

Thank You!

Questions?

For more information: Toni Jackson San Antonio Water

System (210) 233-3784 [email protected] www.saws.org

Larry Phillips San Antonio Water

System (210) 233-3897 [email protected] www.saws.org