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Energy and Utilities

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  • Knowledge Centre
  • Energy and Utilities
20 February 2024

Energy and Utilities

Energy and Utilities

Greater efficiency, process optimization and better results

Data Analytics and Artificial Intelligence solutions provide the Energy and Utilities sector with greater efficiency in processes and greater delivery of value to the consumer.

In an environment where there is constant pressure to provide high quality services, without delays and failures at an affordable price, 24/7, extracting insights from available data becomes fundamental for the sector.

The impact of technology has been profound, far-reaching and transformative, as companies seek to optimize operations, reduce costs and provide more effective service.

Furthermore, innovative technological solutions promise to be truly decisive for the sector and are today crucial for obtaining critical insights for the business, as well as for responding effectively to market volatility and external factors, such as variations in the price of oil or geopolitical instability. 

The Big Data Analytics market in the energy sector is expected to grow from USD 8.37 billion in 2023 to USD 14.28 billion by 2028, at a CAGR of 11.28% during the forecast period (2023 -2028). 

What we do

Technology allows for more efficient management of infrastructure and resources, reducing waste and optimizing energy production and distribution processes.

Task automation, such as power distribution and meter reading, significantly reduces the need for human intervention, minimizing errors and saving precious time.

Smart grids incorporate advanced technologies to improve the efficiency, reliability and resilience of energy distribution.

Technology plays a fundamental role in the transition to cleaner and more sustainable energy sources, directly contributing to the reduction of carbon emissions.

Benefícios

Data monitoring for operational efficiency

The adoption of innovative technologies offers a substantial improvement in operational efficiency and real-time data monitoring. The integration of data from external and internal sources provides a unique view of the market, the customer and the company's performance.

Outage reduction and preventative maintenance

Proactive prediction of malfunctions and cost reduction with preventive maintenance of equipment. Applying smart ecosystems allows you to provide accurate outage status, in real time, to improve overall customer experience and satisfaction.

Antecipation of demand and optimization of the value chain

AI solutions make it possible to anticipate energy demand, enabling a more accurate response. This way, the entire value chain will be improved with greater efficiency in the generation, transport and supply of energy, resulting in greater visibility and integration of processes.

Price optimization

Improving relationships with suppliers and optimizing prices. In addition to an integration of internal and external data there is a deeper understanding of competition and consumer behavior to provide better pricing.

Better customer understanding

Faster and more agile responses to the market are achieved through a better understanding of the customer, providing the ability to design and deliver effective and personalized solutions. Customers today favor quick and efficient contact through different channels such as applications or chatbots, which results in greater profitability and better consumer satisfaction.

Integrated vision

Quick and effective analysis of financial, economic, marketing and sales data in a simple way and in real-time allows for better decision-making to boost profits and profitability, in addition to achieving significant cost reduction. Controlling KPIs in real time and optimizing asset management are an integral part of this process.

Fighting fraud

An efficient approach to combating fraud, combined with data-driven preventive maintenance, results in a lower risk of incidents at a low cost.

Compliance and regulation

Compliance monitoring and control is carried out without compromising business sustainability and customer experience, which in turn contributes to improved data quality to and from regulatory authorities.

Clients

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