Why Utilities Struggle with Fragmented Data
With the rapid evolution of infrastructure needs and increasing regulatory and environmental pressures, utilities are challenged to modernize their networks, improve service reliability, and optimize resource allocation. Yet, fragmented property data and incomplete asset views often hinder effective planning and operational efficiency.
The Risks of Incomplete Asset Views
Traditional datasets may lack the granularity and connectivity needed to accurately map serviceable addresses, understand building-unit relationships, or assess network reach. Utilities face blind spots, such as missing building details, outdated parcel boundaries, or siloed asset data, that can compromise network expansion, outage response, and customer satisfaction.
How Connected Property-Level Intelligence Solves the Problem
In this webinar, we’ll explore how utilities can overcome fragmented data landscapes by adopting a more connected and contextual approach to property-level intelligence. By linking building footprints, parcel boundaries, and location-based insights, utilities gain a clearer picture of serviceable assets and network coverage. This enables more precise infrastructure planning, faster identification of new serviceable addresses, and improved decision-making for network upgrades and maintenance. Additionally, integrating demographic and point-of-interest data helps utilities assess contextual risk factors, optimize resource allocation, and support resilient infrastructure strategies.
In this webinar, you will learn:
-
How utilities can transition from fragmented data to connected insights for infrastructure planning
-
Real-world use cases in network expansion, outage response, and asset management
-
Technical overview of data structure and integration options (flat files, API) for utility workflows
-
How to leverage enriched data for faster decision-making and reduced operational overhead
