Many utilities currently face significant operational hurdles, including siloed data, inconsistent governance, and a lack of clear ownership over geospatial assets. These barriers prevent organizations from fully leveraging emerging technologies like AI, drones, and smart meters. According to Bevin Chau, research director at Info-Tech, these systems must evolve into foundational platforms to support long-term resilience and data-driven reliability.

To address these challenges, Info-Tech proposes a four-phase methodology. This process guides leaders through assessing current GIS maturity, identifying capability gaps, and establishing robust governance structures. By prioritizing initiatives based on feasibility and strategic value, utilities can move beyond simple mapping to support complex functions such as predictive analytics and digital grid management. The firm emphasizes that success relies on aligning IT and operational technology with specific business objectives, ensuring that GIS investments contribute directly to enterprise-wide modernization efforts.