Enterprise technology and data programs live or die by how budget is allocated. The line between Capital and O&M shapes what gets funded, how work is classified, and whether data capture is treated as core program infrastructure or pushed to a separate budget. Utilities that get this right unlock capacity. Those that do not see delays, data and work‑posting shortfalls, and reporting gaps compound across the organization.
This session starts with the financial foundation: how to approach Capital versus O&M allocation strategically, not just for compliance, and how that framing expands what is possible. We will explore practical approaches to fund data work across capital and enterprise programs, including how to scope data capture, validation, and posting as capital‑eligible activities tied directly to the assets being built.
We will then connect that strategy to execution by walking through the capital and data programs that benefit most from this approach, including high‑volume construction data, asset records, GIS alignment, and the workflows that support enterprise requirements. The result is a funding model and operating rhythm that scales with program volume and gives utilities the visibility and control needed to manage enterprise data effectively.
You will leave with:
A clear framework for improving Capital and O&M allocation decisions
Practical approaches for funding data work as part of capital programs
A better understanding of which programs benefit most from this alignment
Proven ways to scale data and construction workflows while improving visibility and control
Panelists:
Clarke Wiley, Director, SSP Innovations
Brandon Vossler: Principal Consultant, PG Partners
Darius Elder, Senior Consultant, PG Partners
