02/25/2025
Part 2 of 3, as seen on T&D World, originally published November 2024.
In today’s energy landscape, electric utilities generate more data than ever before—from customer usage patterns and grid performance to real-time weather data and distributed energy resource (DER) management. This explosion of information is a goldmine for utilities looking to optimize operations, improve customer service, and meet evolving energy demands. However, despite the immense potential, many utilities struggle to harness the power of their data effectively. The main obstacle? Data silos.
Data silos occur when information is stored in isolated systems or departments, preventing it from being shared or analyzed holistically. In the utility industry, these silos often stem from legacy systems and outdated infrastructure, making it difficult to extract actionable insights. To thrive in an increasingly complex and digital world, utilities must overcome these data barriers and move toward centralized, unified data management. This shift can unlock significant operational efficiencies, enhance decision-making, and elevate customer service.
The Impact of Siloed Data
While legacy systems have long supported the utility infrastructure, they are a primary reason for significant data management challenges. These systems, often developed decades ago, weren’t designed with today’s data needs in mind. They house information in separate, incompatible formats across different departments like billing, maintenance, customer service, and grid operations. As a result, utilities are left with fragmented data environments, making it difficult to create a complete, real-time view of their operations.
Fragmented data creates several operational and strategic hurdles. First, it leads to inconsistencies. When different departments operate in silos, they often rely on outdated or incomplete information, which compromises the quality of their analytics. For instance, grid operators may not have access to real-time data on customer demand, resulting in suboptimal load management and inefficiencies. Similarly, maintenance teams may struggle to predict equipment failures due to limited data on asset health and usage patterns.
Second, data silos slow down decision-making. In an industry where quick, informed decisions can significantly impact performance, delays caused by fragmented data can have costly consequences. For example, responding to grid outages or optimizing power distribution during peak demand requires accurate, up-to-date information. Yet, when data is locked away in separate systems, utilities face blind spots that delay response times, increase operational costs, and potentially disrupt service.
Finally, a lack of real-time insights limits utilities’ ability to anticipate and address challenges proactively. Predictive maintenance, demand forecasting, and grid optimization depend on real-time data and advanced analytics. Without a unified view of operations, utilities are stuck in a reactive mode, addressing issues after they arise rather than anticipating and mitigating them ahead of time.
The Importance of Data Unification
To overcome the inefficiencies and limitations posed by data silos, utilities must shift towards data unification. Unifying data from across departments and systems allows utilities to develop a comprehensive, real-time view of their operations that enables smarter, faster decision-making.
A key enabler of this data unification is the deployment of Advanced Metering Infrastructure (AMI) and Internet of Things (IoT) devices. AMI, such as smart meters, enables utilities to collect detailed, real-time data on customer energy usage. IoT devices – from sensors on power lines to monitoring systems on transformers—provide critical insights into grid performance and asset health. By integrating data from these sources, utilities gain a more accurate view of electricity demand, system health, and customer behavior, supporting grid optimization and service reliability.
Cloud-based platforms also play a vital role in breaking down silos. These platforms allow utilities to centralize data storage and processing, providing a single source of truth that can be accessed by different departments in real-time. With cloud technology, utilities can move away from disparate, on-premise systems and toward a scalable infrastructure that supports advanced analytics, machine learning, and artificial intelligence. This shift not only improves data accessibility but also enhances the utility’s ability to analyze large datasets for deeper operational insights.
One of the most powerful outcomes of data unification is the ability to leverage predictive analytics. With unified data, utilities can apply advanced algorithms to predict equipment failures before they happen, optimize maintenance schedules, and even forecast energy demand based on patterns in customer behavior and weather conditions. These insights allow utilities to transition from reactive to proactive management—resulting in reduced downtime, improved grid resilience, and more efficient operations overall.
