ANNOUNCEMENT

Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services

Gartner, Magic Quadrant for Custom Software Development Services, By Jaideep Thyagarajan, Ryan McKinney, Nathan Davie, 28 September 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Hexaware.

Energy Data Analytics

What is Energy Data Analytics?  

Energy Data Analytics involves collecting, processing, and analyzing data related to energy production and consumption. It aims to optimize energy management and improve efficiency across the energy industry.  

What are the benefits of analytics for energy?  

Analytics for energy provides insights that lead to better energy management, cost reductions, and improved sustainability. It enables predictive analytics in energy, allowing for proactive maintenance and optimization of energy resources.  

How can energy data improve energy savings?  

By analyzing energy data, organizations can identify inefficiencies and implement strategies to reduce energy consumption. This leads to significant energy savings and a reduction in carbon footprint.   

How is data analytics used in the energy sector?  

Data analytics in the energy sector monitors and analyzes energy production and consumption patterns. It helps utility companies and other stakeholders make informed decisions to enhance energy savings and operational efficiency. 

Why is energy analytics important for utility companies?  

Energy analytics provides utility companies with the tools to optimize operations, reduce costs, and improve customer satisfaction. It enables them to better manage energy resources and respond to changing market conditions. 

How does energy data analytics contribute to energy management?  

Energy data analytics provides detailed insights into energy usage patterns, enabling more effective energy management strategies. It also helps set benchmarks, track progress, and achieve energy efficiency goals.

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