Maximize efficiency to meet energy demands and satisfy customers

There’s more data than ever available to the energy industry, from equipment in the field, the plant, and end-users’ homes and businesses. There’s also more competitive pressure and consumption demands, too. Energy companies that don’t use this data effectively will find themselves with unprofitable financials, dissatisfied customers, and under regulatory scrutiny. From exploration and discovery to generation to delivery, data science can help the energy industry ensure smooth operations and great customer experiences.

Balance consumption and capacity

Predict peaks and valleys in energy consumption patterns to better plan for demand spikes, while not creating excessive idle capacity at other times.

Learn more about demand forecasting

Anticipate equipment failure

Analyze data from equipment in the field and plant to anticipate failures and proactively schedule maintenance activities.

Learn more about predictive maintenance

Maintain customer loyalty

Improve customer experience with proactive outreach about useful programs and insights, to increase engagement and loyalty.

Learn more about customer segmentation

Optimize exploration, generation and distribution

Leverage growing volumes of data about energy sources below and above the earth and generation and distribution processes to increase success rates and efficiency.

Lightning Fast Data Science

Built for analytics teams, RapidMiner unifies the entire data science lifecycle from data prep to machine learning to predictive model deployment. Organizations can build machine learning models and put them into production faster than ever, using RapidMiner’s lightning fast visual workflow designer and automated modeling capabilities. 400,000 analytics professionals use RapidMiner products to drive revenue, reduce costs, and avoid risks.