bg-path bg-path


Data analytics can benefit the Energy sector in several ways

The possible uses and potentials of data science in the energy sector are almost inexhaustible due to the gigantic amounts of data and the possibilities for linking with other data.
With the help of big data analyzes, the energy consumer can now also be given individual recommendations on how to save energy - an important basis for customer loyalty. As a further service, it is possible to compare current consumption with past values and statistical average values from comparable households or businesses.
Big data and artificial intelligence allow permanent observation with extensive analyzes and forecasts - a task that was almost impossible to manage in the past. This results in massive advantages for the energy industry:
• Improvement of processes and coordination across the organization
• Failures of technical equipment can be forecasted (predictive maintenance)
• More accurate price forecasting and real-time energy demand forecasting
• Improved exchange of information between different market players, such as network operators, consumers, balancing group managers, storage operators and the various producers
• Prediction of customer churn and fraud detection (churn prediction and fraud detection)

HData Systems assist its clients with cost-effective analysis

Information that may not have been used in the past can be used to open up new business areas or to develop services and minimize risks.
The large amount of information can be recorded cost-effectively, reliably and efficiently with big data technologies - both internal company data and external data.
For the detection of relevant patterns, the fault tolerant learning and forecasting in the energy industry, we rely on:
• Neural networks (and other processes from the field of artificial intelligence)
• statistical procedures for validation
• Visualization
We support you in lowering the transaction costs for analysis, forecasting and monitoring and pushing the limits of the currently possible analyzes and evaluations.

Why energy businesses should consider data analytics

• Better consumption and demand forecasts

Demand forecasts are of central importance for energy suppliers, as they buy the electricity for end customers in large tranches on the electricity exchange. With the increasing accuracy of the forecasts, supply and demand can be significantly adjusted, thus significantly reducing the risk and unnecessary additional costs for suppliers. Predictive Analytics enables forecasts of electricity demand through stochastic analyzes based on consumption data and external data (e.g. weather data, vacation times, consumer behavior). 

• Smart solutions for the energy consumer

Big data analytics can be used to create new dynamic contract models for additional sales for utilities from the masses of data obtained from smart metering. The mobile communications industry has been using such innovative contracts with great success for many years. In addition, the energy supplier can now design the energy tariffs individually, taking consumer behavior into account.

• Advance maintenance of electrical systems

Predictive maintenance enables the early detection of faults in electrical systems and components and prevents early system failure. Moving or rotating components in particular (energy-generating systems, generators) are exposed to natural wear and tear, which in the event of an actual failure can lead to malfunctions or dangerous situations. 

• Commercialization of data

The precision of energy consumption through smart metering enables far-reaching insights into the lifestyle or operational conditions of end users. The energy supplier can not only get a comprehensive picture of the energy behavior of a household or company, but also which devices or machines the consumer has "on the grid". These potentials suggest that new billion-dollar markets for the commercial use of data are emerging here. 

• Other fields of application of big data

In addition to the outlined fields of application, the identification and commercial analysis of data anomalies is another field of application. Energy theft and loss and reactive power such as the identification of endangered or overloaded devices and systems in the distribution network can be tracked using special methods and new technologies. 

Some of our best data analytics tools at HData Systems

  • Salesforce
  • Sisense
  • SAS
  • MicroStrategy
  • Looker
  • Qlik
  • ThoughtSpot
  • Microsoft Power BI
  • The Gartner Magic Quadrant
  • Tableau

Our Services

Data Science

Data Science is a structured and unstructured model to extract insight from data in different forms and add value to the businesses.

Data Warehousing

Data warehouse system is a powerful, scalable, and affordable—enabling organizations to share petabytes of data across thousands of users.

Data Analytics

Data Analytics is the process to analyze data sets in order to draw conclusions about the information with specific systems & software.

Data Visualisation

Data visualizations perform the best role in addressing this challenge and help with interacting science outputs to a wide variety of audiences.

Data Migration

Data Migration is the process of transferring data from one storage system to another to save necessary and relevant data.

Big Data Implementation

Big Data implementation helps you to make decisions on the basis of insightful data and forecast business future.

Predictive Analytics

Advance Analytics is a tool that help you to extract more data and forecast trends, behaviours, events, and more to perform better.

IoT Analytics

IoT Analytics is an application of data analysis tools and adds value to the data to facilities by connecting with the Internet of Things.

Customer 360

Customer 360 provides data with a 360 degree view and enables you to interact and support every detail about the customer.


DevOps is a set of practices that merge IT operations and software development to deliver high quality software and improved software life cycle.

Microsoft Power BI

Microsoft Power BI is a business analytics service that provides interactive visualizations & business intelligence to create dashboards & reports .

Qlik Sense & QlikView

Qlik Sense & QlikView is an analytics solution and platform to integrate data, analysis and data-driven intelligence that deliver business growth.


Industries We Are Transforming

The transformation of industries by Big Data Analytics, Artificial Intelligence, and Data Science

banking and finance

Banking and Financials

Power your Data Analytics and prevent fraudulent activity and ensure data security while integrated with third-party



Align insurance with faster decision-making, enhance legacy system, empower customer relations, and integrated third-party services



Transform your business by boosting productivity, refine adaptability with data

transportation logistics

Transportation and Logistics

Get the real-time insight and data, track the precision location, and operate while monitoring with efficiency


Enhance medical facilities, seamless practice process, track and get the insight of the data, reduce expense, and reform quality of care.



With research data, create a market growth strategy, optimize product sales and inventory, and predict the future demand.

media and entertain

Media and Entertainment

Deliver high-quality content with seamless integrated services and accomplish analytics success



Give a new platform and approach to learning, personalized learning experience with remarkable technology



We provide a research database which helps in Mapping metadata, ensuring high quality of data analytics and reports.

travel and hospitality

Travel and Hospitality

Boost your sales service, enhance customer segmentation with analysis and predict future price strategies

oil gas

Oil and Gas

Improve your automate workflows and monitoring process, high analytical and report facilities while ensuring data safety

real estate ecommerce

Real Estate and E-commerce

Leverage deep insight Industry knowledge, powerful refinements, and deliver real-time dynamic experience



Provide new innovative workflows, enhance data-driven network services, help to obtain new customers, and expand market reach strategically.


Food and Beverages

Keep the track on quality, enhance services, bring out more innovation, and boost the product sales.



Discover new energy, cost-effective and prevent power outage, increase the production and sales with data

Tools & Technology

Data Science Tools & Technologies

  • google-ai
  • amazon-mc
  • apache-spark
  • azure-mc
  • hadoop
  • java
  • jupyter
  • kiabana
  • parquet
  • python
  • qlik
  • r-language
  • r-studio
  • scala
  • spark-mlib
  • tableau
  • tensorflow
Case Studies

Introduce Our Projects

Powered By Hyperlink InfoSystem

Hyperlink InfoSystem is one of the leading software development companies based in India and has offices in USA, UK, UAE, France, and Canada. With 10+ years of experience in the industry, Hyperlink InfoSystem served more than 2,300 clients worldwide. The company has a team of 450+ highly skilled developers who works on any custom solutions using the latest technologies.

Get In Touch With Us

Project Budget: 0
Thank You!

Our Business Team Will Get Back to You Soon.

Quick Inquiry