Data Analytics in the Utility Industry

Go Beyond Monitoring into Predictive Machine Learning to Optimize Performance and Prevent Failures

Prevent Costly Shutdowns By Predicting Asset Maintenance and Repair

Inspection of distribution infrastructure may be the most well-known application of Artificial Intelligence (AI) in the utility industry, but it’s hardly the only one. Exciting recent technologies, such as the Internet of Things (IoT) and AI, are enabling utility companies to transform their systems and modernize operations—providing greater reliability, efficiency, security and regulatory com

Extract and Organize Data

Extract and Organize Data

The big data generated by industrial IoT is commonly characterized by its varietal sources, unstructured features, noise, and high redundancy. These features can thwart manufacturers trying to effectively use their data. 

Optimize for Key Factors

Optimize for the Key Performance Indicators that Matter Most

KPIs allow you to make critical decisions backed by data to impact quality, profitability and the overall future of your business.  

Improve Access

Improve Access to Knowledge

The big data industry is still working to provide better visualization and customer interaction tools. Presenting information in an intuitive and user-friendly style is important, as it helps users produce better insights and devise unthought of solutions.

Finding the Right Data Science Company in the Utilities Industry

Even though utility companies collect and manage data, modernizing existing systems is often problematic. There are associated risks of data loss, poor customization, system failure, and security intrusion. Since the cost of error is high, many utility companies are reluctant to risk trying novel approaches and instead turn to experts, like Freya Systems, to approach these challenges from an experienced and proven perspective.

Freya System Solutions

The right mix of descriptive, predictive and prescriptive analytics leads to great competitive advantages. These can include cost reduction, supply chain optimization and productivity gains, or the use of new disruptive approaches like forecasting manufacturing, proactive maintenance, and ‘predict and fix’ models.


We specialize in predictive models for complex equipment. Using our experience, we can develop algorithms you can use system-wide to optimize production, maintenance protocols, and/or response to emergency events.



Operational efficiency is critical.  We enable operators to leverage AI and machine learning to dramatically improve efficiency, reduce their carbon footprint, and leverage both predictive and prescriptive insights derived from collected enterprise data.

Predictive Modeling


Using analytics, you can combine data across data sources and rapidly identify problems, discover root causes, predict future performance, and automate actions to continuously improve quality, ease compliance and reduce unnecessary costs.

Make Our Team Yours.

Freya Team July 2020