Any industrial activity in the world is impossible without oil and gas (Energy).Energy Sector has been adopting analytics in its DNA to enhance relative business models since the past couple of years.This requires processing of large amount of data.This makes big data,an important aspect in the oil and gas industry.New and advanced designs based on the large and real time data to improve safety and ensure best in class maintenance models have been programmed.These models can also be used to analyze geospatial data and other oil and gas reports in order to bid on new oil prospects.Oil companies need to integrate mechanical models using the real-data extracted.This will enable them to predict the future availability of the oil resources and its usage data predictions.

Analytics can be a core catalyst to achieving high performance in the energy industry. Big Data is an enormous opportunity for making environmental improvements and harnessing energy-efficiency savings. The information about how to save energy is hard or time-consuming to collect, or that the efficient devices are hard to use. But with Big data things are changing.

- Arthur van Benthem, a professor of business economics and public policy at Wharton -


  • Increase in production

    Around 293 global and domestic companies have committed to generate 266 GW of solar, wind, mini-hydel and biomass-based power in India over the next 5–10 years. GCT is all in to tap the opportunity.

  • Optimal utilization of resources

    We focus on Facility management which is an important part of energy management, because a huge proportion (average 25 per cent) of complete operating costs are energy costs.

  • Grid operations

    Grid operations uses and benefits for electricity storage (storage) include what are often referred to as ancillary services.

  • Workforce management analytics

    We look into how analytics addresses the energy sector’s most pressing talent management needs: reducing turnover, fortifying talent programs to increase business performance, and leveraging training and succession planning to ensure all key technical and functional roles are staffed at peak performance.

  • Energy theft or diversion analysis

    GCT uses a theft-detection program to protect a utility’s revenue stream. In addition, it accomplishes this in a cost-effective manner.





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