SSP Downloads | Quick Guide
Mobilizing & Funding GIS Data Improvements
A practical path from recognizing the risk in your GIS data to funding the fix, sized and ready for the budget conversation.
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The Questions Asked First
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Where does every critical valve sit?
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How fast do you isolate a leak?
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Is your DOT report defensible under audit?
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Do integrity programs target real risk, or guesses?
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Does new construction catch up in GIS before the backlog grows?
THE WAKE UP CALL
When your GIS data comes up short on the hard questions
Every gas utility manager carries the same private fear. An incident hits, and the first questions are the ones your GIS data has to answer.
Most gas utilities already know their data needs work. DOT reports carry gaps nobody fully explains. Integrity plans get built on install dates and materials never captured correctly. Operations makes decisions on records not matching what is buried in the ground.
The question is not whether your GIS data needs improvement. The question is your plan to fund the fix.
Two Problems, Two Funding Paths
Historical cleanup and new construction do not compete for the same dollars
Your GIS data problem usually splits into two separate pieces. Naming which piece you are looking at decides where the funding comes from
Historical Data Cleanup
Assets already in the ground
Missing, inaccurate, or incomplete data on infrastructure already installed. Install years never captured. Materials recorded wrong. Decades of gap between paper records and what is buried.
Funding Path: Dedicated O&M budget line, or a rate case for larger programs.
Example: 500 miles of pipe with missing install years, at 2 miles a day per editor, runs one editor almost a year. Two editors working in parallel cut the timeline to about six months.
Capital Construction Data Creation
Infrastructure going in right now
The ongoing gap between new infrastructure going in the ground and GIS records catching up. Work orders and as-builts stack up faster than your team processes them.
Funding Path: Capital budget, tied directly to the construction project creating the data.
Example:500 work orders a year at one per editor per day puts a single editor two years behind before peak season even hits.
Ready to size your own gap?
Get the level-of-effort worksheet and match each funding path to your budget cycle.
GET THE GUIDE
Get the Gas Utilities Quick Guide
A breakdown of the two funding paths for GIS data improvement, worked examples for sizing your own gap, the coalition-building conversations behind budget approval, and three execution models compared side by side.
- ✓Historical cleanup and capital construction data, funded through two different paths
- ✓Worked examples for calculating your own level of effort
- ✓The exact questions to ask integrity, operations, engineering, and compliance
- ✓TThree execution models compared, from internal staff to fully managed services