Why is data sharing important for utility asset management?

Data sharing allows utility organizations to eliminate silos that isolate critical operational information. When departments and partner organizations can access unified data, they can coordinate maintenance, reduce redundant work, and respond faster to outages or infrastructure failures.

How does GIS integration improve utility operations?

GIS integration maps utility assets geospatially, giving operators a real-time view of infrastructure location, condition, and interdependencies. This spatial awareness helps with planning maintenance routes, assessing outage impacts, and managing shared infrastructure with neighboring utilities.

What are the main barriers utilities face when integrating data and GIS systems?

Common barriers include legacy IT systems that don't support modern data standards, organizational resistance to cross-department or cross-company data sharing, and inconsistent data formats. Overcoming these requires both technical investment and governance frameworks that establish trust and data-sharing protocols.

Data Sharing and GIS Integration: Critical...

Data Sharing and GIS Integration: Critical Drivers for Successful Utility Asset Management

Utility companies unlock operational efficiency by breaking down data silos and mapping shared infrastructure in real time

This story was produced through MarketScale. See how Energy teams put it to work with Customer Stories & Case Studies.

By Dominique Meyer, Ph.D. · May 9, 2024, 12:51 PM UTCAsset ManagementData SharingDominique MeyerExperts Talk Podcast

Key takeaways

Breaking down data silos enables utilities to share infrastructure data across departments and partner organizations more effectively.

GIS integration provides real-time spatial context for utility assets, improving decision-making and field operations.

Coordinated data sharing across utility stakeholders reduces duplication, lowers costs, and improves infrastructure resilience.

Data sharing and GIS integration are revolutionizing utility asset management, enabling unprecedented collaboration and efficiency between utility companies and telecommunications providers. As these entities increasingly share critical infrastructure, the need for robust, data-driven strategies to monitor and maintain these assets becomes paramount. This integration facilitates precise asset health monitoring, enhances preventive maintenance, and ensures more resilient and efficient service delivery, which is essential for meeting today’s energy demands and technological expectations.

This integration facilitates precise asset health monitoring, enhances preventive maintenance, and ensures more resilient and efficient service delivery, which is essential for meeting today’s energy demands and technological expectations.

How can utility companies and telecommunications providers leverage modern technologies to enhance the management and longevity of their shared assets? Dr. Dominique Meyer, the Founder & CEO of Looq AI, provides a compelling perspective on this issue.

In his insights from a more extensive Experts Talk roundtable discussion, Dr. Meyer underscores the transformative potential of data integration in asset management.

Here are the main takeaways from his analysis:

Interconnected Asset Health: Understanding the condition of physical assets like distribution poles, which support both power and telecommunications, is crucial for operational reliability
Data Sharing and GIS Integration: The exchange of geographic and structural health data between utilities and telcos can drive better maintenance strategies and prevent service disruptions
Aging Infrastructure Challenges: With over seventy percent of utility assets being over twenty-five years old, proactive management is essential to mitigate risks and enhance disaster resilience
Collaborative Opportunities: There is significant potential for utilities and telecommunications companies to work together to optimize capital efficiency and asset utilization
Future-Proofing Infrastructure: Implementing advanced data analytics and machine learning can help predict failures and extend the life of these critical assets, ensuring a more sustainable and efficient grid modernization process

For a more in-depth exploration of these strategies and insights, visit the complete MarketScale roundtable discussion.

Video TranscriptExpand ↓

Yeah. So I'll give a quick example. Right? So in the US, we think we have about two hundred million distribution polls. Right? That's many of which carry, you know, doctors that power our homes, and also fiber, overhead fiber. And that is one example, right, where that simple piece of information of what is the health of the pole that is responsibly managed by the pole owner, often the electric utility, that also affects the the carrier. Right? Right? Because if that poll goes down, your your fiber is likely gonna go down as well. So what we're starting to see is this very careful interchange of data, GIS data, whole health data, structural information, everything onto just, you know, transformers, and vegetation management. And that's where I think there's a massive opportunity for these carriers and utilities to start working together. And again, here we are just at the forefront of starting to realize what it will take to get us us to a state where we can cooperate with capital efficiency on these physical assets that will be lasting the next decades. You know, one of the stats I I enjoy sharing, right, is that, you know, over seventy percent of our physical, assets in this in this industry are over twenty five years old. Right? And the failure rates with age goes up. And that's where we have to be increasingly proactive about coming up with risk mitigation, disaster resilience across these physical assets, to be able to guarantee that we can modernize this grid in a safer, capital efficient manner.

About the author

Dominique Meyer, Ph.D.

Data Sharing and GIS Integration: Critical Drivers for Successful Utility Asset Management

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