How 4 utilities are using big data

Data analytics for utilities can help utility companies recover from outages as quickly as possible to improve efficiency and prevent revenue loss. Fortunately, utility providers can take advantage of the vast amount of data that they have at their fingertips to improve operations and performance. Finally, big data and analytics can help utilities companies improve their overall business performance by providing insights into key performance metrics. For example, utilities can offer personalized energy-saving tips to customers based on their usage patterns or provide targeted offers to customers who are most likely to be interested in new products and services. This helps reduce maintenance costs, improves reliability, and extends the lifespan of assets.

These innovative tools simplify billing, empower customers, and give utility providers the insights they need to deliver better services while cutting costs. Advanced solutions such as utility billing software, utility analytics, and smart utility technologies are transforming the industry by tackling these challenges head-on. At the same time, these companies must juggle operational https://dublindecor.net/the-property/chimmers-changing-technologies-and-correct.html challenges like reducing errors and improving efficiency. Prior to joining Verdeeco, a Sensus company, Brian worked for the SAS National Utility Practice where he focused on providing utilities with analytic products such as load forecasting and energy trading risk measurement.

Based on historical records, they can predict how the capacity may increase and how it can be optimized to reduce wastage. Companies can monitor data and do the optimal capacity management. Predictive health monitoring and maintenance helps in reducing downtime and ensuring the health of the assets.

Benefits of Using Data Analytics

Utilities preparing for data center–driven market changes increasingly rely on advanced planning tools that connect https://consultprofound.com/top-10-technology-trends-to-watch-2025.html?noamp=mobile forecasted load growth with long-term system decisions. In this context, traditional planning frameworks built around gradual load increases and long development timelines have become increasingly misaligned with the speed and uncertainty of today’s data center interconnection requests. Data centers will challenge utility decarbonization plans by delaying decisions to retire older fossil fuel plants needed to support increasing demand.

• Utility analytics also tracks how well a company is performing financially.
• Whether a large IOU or a small municipal utility, Ascend’s solutions are fully scalable and designed to support confident rate setting and ongoing business growth.
• This crucial task means responding in the wake of major storms, pinpointing equipment failures, carefully connecting customer-reported outages with the relevant part of the network, and much more.
• Data analytics has the power to revolutionize utility bill management by offering detailed insights and optimization opportunities.
• Perhaps equally important, it enables the ADMS (or DMS plus OMS for utilities without an ADMS) to operate more effectively even with increasing distributed energy resources.
• But that’s only possible if data from each system is tied together into a consistent, accurate view.

But that’s only possible if data from each system is tied together into a consistent, accurate view. Better use of data can directly translate to enhanced grid visibility and better-informed active management, providing opportunities to cost-effectively improve grid reliability, sustainability, and operational efficiency. In today’s digital world, the old adage “Knowledge is power” is often eclipsed by the increasingly appropriate “Data is king.” More data is generated every day than ever before; by some accounts, roughly 90% of existing data was generated in the last two years alone. A utility can collect asset data, build dashboards, and still miss the larger risk if the evidence is not tied to load durability, grid stress, maintenance prioritization, and avoidable capital spend. Predictive maintenance analytics can then determine if an asset or piece of equipment requires maintenance. Data analytics for utilities and energy providers helps companies in these spheres improve operations and prevent outages.

Data analytics isn’t really new, but the types and capabilities that analytics brings has definitely changed over time. It’s time to stop worrying about all the issues that come with low customer engagement, and instead, transform your operations to become the leading utility company in your area. Find out how Silverblaze can support your utility to adopt these solutions and stay competitive. Utility analytics also tracks how well a company is performing financially.

Closing Thoughts on Utility Bill Management & Data Analytics

• At the same time, companies also want to know if any assets are lying idle so that those can be leased out for extra revenue generation.
• AI and UX must evolve together as utilities adopt more complex systems that users need to understand, trust and confidently use.
• With the right data analytics solution in place, utilities can manage their data and, most importantly, use this information to improve their utility and benefit the customer experience.
• Portable methane gas turbines, for example, power Elon Musk’s xAI Colossus 1 and 2 facilities in Memphis, Tenn., affecting communities already overburdened by pollution.
• They are typically complex and are either cloud-based or are installed and maintained on local servers by the utility’s IT department.
• CR’s work on energy affordability is also made possible by the vision and support of the William and Flora Hewlett Foundation.

One of the key benefits of big data analytics in the utilities sector is the ability to optimize energy production and distribution. All the above use cases provide utility organizations with the speed, agility in tandem with the cost benefits. Ensuring that these assets are working in their full capacity all the time is extremely important.

How Does Data Analytics Affect Smart Grids?

While this type of data analysis is certainly useful to utilities, the real challenge lies in transforming this data into information that will benefit the utility, its customers and improve operational efficiency. However, while sensors on the communication network provide utilities with this data, collecting the information is just the first step. Through the use of data collection and data analysis, every department is able to work together to improve operations for the utility as a whole as well as benefit its customers. Collect the data Communication networks provide data about power usage, the utility’s infrastructure and even outages.

“And that’s where there’s a huge pushback across the country.” A January 2026 report by Bloom Energy, an on-site energy company, predicts that U.S. data centers’ total combined energy demand—how much electricity they may use when up and running—will nearly double between 2025 and 2028, jumping from 80 to 150 gigawatts (GW). While the size of the facilities is startling, their energy use is even more dramatic. Hundreds more hyperscale facilities may soon be built across the U.S. Meta alone has dozens of these mega facilities in various stages of development, including its Hyperion campus in rural Louisiana.

Let us take a look at how the energy and utility sector benefit with the use of data analytics – “The core benefit is having a rolodex of individuals, working in the same industry and discipline, that you can call for advice and learn from their experiences.” AI and UX must evolve together as utilities adopt more complex systems that users need to understand, trust and confidently use. Members collaborate on strategies and use cases for industry challenges, including grid optimization, data governance, and AI adoption.

This integration helps pinpoint precisely where in the network a given issue is occurring. This data is correlated with both a GIS (Geographical Information System) and a rules-based map of the network itself. In many implementations, data on the utility network is reported via both customer call and device-level sensors. This crucial task means responding in the wake of major storms, pinpointing equipment failures, carefully connecting customer-reported outages with the relevant part of the network, and much more.

Portable methane gas turbines, for example, power Elon Musk’s xAI Colossus 1 and 2 facilities in Memphis, Tenn., affecting communities already overburdened by pollution. As AI data center construction outpaces the facilities’ ability to connect to the grid in many areas, some are opting to rely entirely on their own generators. In late January, with the threat of bitter cold temperatures and impending winter storms in many parts of the U.S., the Department of Energy gave a preemptive green light to data centers and other “major facilities” to run their generators as needed. The statement also says that the company is “proud to call Richland Parish home” and that “being good neighbors is a top priority.” Vehicular accidents in the rural area where Meta is building its Hyperion campus jumped by more than 600 percent in the first nine months of 2025 over the previous year, according to an analysis of police records published in November 2025 by Louisiana Illuminator, a local news outlet. “You’ve got those vehicles, you’ve got huge flatbeds bringing in equipment, you’ve got huge cement trucks, you’ve got construction vehicles—all speeding on these residential roads.”