Utilities Data Analytics

Transform data into business value

Data is critical for utility company transformation

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Utility companies are facing unprecedented disruption. Growing demand from customers and regulators for sustainability, added complexity in the form of renewables and Distributed Energy Resources, and an aging grid and workforce are all forcing changes to the utility business model.

To transform, utility companies must leverage massive volumes of IoT data from smart meters, distributed energy resources (DERs), and IT & OT systems to address operational and business challenges. Vertica delivers the analytic performance that utility companies need to power the digital grid, connected assets, and connected consumers, while meeting the energy needs of the future.

Vertica powers analytics for the customer experience and operational excellence

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Utility companies are facing a data explosion, primarily in the form of sensor and other forms of data from the Internet of Things (IoT). Unifying disparate data volumes and operationalizing AI & ML will be the key to success. In this InfoBrief, John Villali, Director of Energy Insights at IDC, discusses the drivers of transformation, and how utilities companies can leverage data to improve operations and the customer experience.

Read how utilities can leverage data to improve operations and the customer experience

Store more data

Extreme scale and performance

Quickly ingest and analyze large volumes of data, including IoT data from smart meters, DERs, and other sources across the energy grid.

Unified analytics

Unified analytics

Break down data silos across IT & OT systems, IoT data, and account data for real-time and predictive insights that address business and operational challenges.

In-database machine learning

In-database machine learning

Operationalize AI & ML with in-database machine learning, which reduces the time, effort, and expertise needed to deploy ML models in production.

Multiple deployment options

Multi-cloud and hybrid cloud

Enable true hybridity with a distributed unified analytics platform that brings analytics to the data, regardless of whether that data is on-premises or in multiple clouds.

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Data silos exist across IT & OT systems. Large volumes of IoT data from smart meters and DERs must be combined with structured data to realize the full potential. As utilities move to the cloud, many will find themselves managing a multi-cloud and hybrid environment, with important data in the cloud and on-premises.

And utility companies often lack the time, expertise, and the resources to successfully operationalize AI & ML.

Big data challenges in utilities

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A complex, distributed grid

Utility companies are investing in renewable energy sources, yet face increased complexity in the form of Distributed Energy Resources (DERs). DERs change energy distribution requirements across the grid, and they have the potential to deliver new levels of customer service as more consumers become “prosumers”.

Smart meters

Advanced metering Infrastructure (AMI) offers utilities the chance to proactively manage demand response, respond quickly to outages, and transform the customer experience. Smart meters generate large volumes of data that must be combined with other sources of data, including customer account information, to maximize its value.

Customer experience

Customers are demanding more value from their service provider. In addition to high availability and reliability, customers expect personalized communications, self-service capabilities, and assistance in managing their own energy consumption and their bill. Real-time and predictive insights will be critical for meeting customer expectations.