Energy Analytics

Lowering energy consumption, looking for new sources of renewable energy and boosting energy efficiency are on the fore front of recent innovation in the energy industry. Big volumes of data in motion are being increasingly monitored and analyzed in real time, which helps in achieving these goals. The energy industry is wide, encompasses a lot of different sectors, units, and processes. It makes it always more complicated when it comes to data collection, but also to data analysis, as the sources are disparate, hard to combine, and constantly changing. Energy analytics are a valuable operational tool for power companies to manage load and ensure low-cost, high availability power. Streamlining data enables them to keep bookmarks of the demand and supply trends, and make sure that any change in demand can be anticipated and in balance with supply. At the same time, there is a growing need for renewable energies and accountability asked by the consumers – some accountability that these analytics can provide. The field of energy uses data science for cutting costs, minimize risk and optimize investments. Minimizing costs with data science is a popular  application in the energy industry.

Optimization of investment decisions take several forms, such as assisting investors and a better internal resource. Moreover, data science contributes to the enhancement of public safety through providing better oversight and monitoring. Many different kinds of energy are powering our industries, businesses and day-to-day lives. Spartan TSS provides an efficient energy analytics soware to harness the nuances of the data produced within the various energy sectors and employ it more beneficially. You can thus improve profit margins as well as manipulate and understand large-scale trends in the industry. Applying data analytics to the energy sector provides a deeper insight across all the dimensions of that sector, so as to treat it as the commodity which it actually is.

Energy analytics will help you in determining the relevant market business forecasts and predict future discrepancies in the market. This is possible thanks to replicable, resilient and evidence-based assessments at any division, location or scale of analysis within the sector. You can create accurate business models that demand less manual input since you will be able to integrate all relevant data sources in a single place. Large-scale business prediction processes are in that way precisely and systematically managed. Using energy analytics data more effectively will help you solve complex problems, and at the same time improve from traditional technologies when you have to analyze large-scale energy related data. That way, you will gain insights and possibly make critical discoveries to ensure operational and financial business decisions across all sectors. The business impact of the use of modern energy analytics is multiple. Many use-cases show the benefits of using smart meters, these little devices recording the consumption of electric energy and communicating the information regularly to a database, for monitoring purpose. Working on these data sets and extracting valuable insights impacts the way companies used to manage, organize or use energy.

At Spartan TSS, we understand that energy analytics are crucial to make better informed decision, and improve the operations management and scheduling maintenance. With a direct and easy access to data, you can foster a data-driven culture within your organization, increase efficiency at every level, and save a lot of time optimizing your operations and costs, and focus more on your core activity to create more value.