Introducing data-driven utility management.
Transformational data and analytics for modern utility companies
With smart assets and the IoT device count growing every year, there is more data for utility-related companies to sift through than ever. With ibi’s cloud capability that leverages machine learning and advanced data science, utilities can transform all of this, including customer data, into actionable insights that help them do better business.
How we help
Smarter metering and customer tracking
Gain full visibility and advanced understanding of customer usage and trends to set pricing, model future demand, implement preventative maintenance and proactively manage outages.
Advanced operational insights
Build a comprehensive view of operations and energy consumption by consolidating data from diverse sources, including sensor (IoT) data.
Optimized, predictive maintenance
For Siemens Energy, which helps maintain one-fifth of the world’s large-scale power plants, forecasting spare part needs is crucial. Mistakes are hard to fix: It can take months to build a set of blades for a modern turbine.
And yet, not too long ago Siemens’ sales representatives struggled to tell clients when critical parts were going to be available. The company’s SAP enterprise resource planning software couldn’t distill all the complex details of the manufacturing process into an accurate forecast for delivery of finished parts. Other areas of the company, from shipping to invoicing, were likewise frustrated by the lack of useful information available from the SAP system.
Our ibi analytics application is critical to our business. Our users love it. They depend on this information to do their jobs and satisfy customers.”
“Now we always know where our inventory is, what we are bringing in, and what is going out. We have improved customer satisfaction and increased productivity because of the insight we gain from these dashboards.” – Steve Burke, Siemens Energy, project manager.
Get in touch to learn how you too can build better insights with data.