
Energy companies have access to information coming from smart metres, sensors, cloud computing technologies as well as traditional sources of data. They have now started leveraging data analytics to mine this staggering amount of data for actionable insights. Several companies have already started seeing success in –
Our energy solutions make sense
Get More Out of Assets
Harness machine-to-machine sensor data to predict unplanned outages before they occur. Achieve cost-control by optimising planned maintenance cycles and increasing asset availability.
Financial Planning
Optimise forecast visibility to maximise revenue and reduce costs. Improve financial decisions by seeing what’s related and what’s not.
Fraud and Loss Prevention
Real-time information about load can help detect system energy losses through fraud or theft, helping realise significant financial benefits.
Load Forecasts
Accurate and real-time energy demand forecasting is critical for timely and economical demand and supply management. Utilities need to leverage data on consumption, weather.
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.
Anticipate OEE
Analyse data from equipment in the field and plant to anticipate failures and proactively schedule maintenance activities.
Maintain Customer Loyalty
Improve customer experience with proactive outreach on useful programs and insights, to increase engagement and loyalty.
Optimise Generation and Distribution
Leverage growing volumes of data on energy sources and generation and distribution processes to increase success rates and efficiency.