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Data science plays essential role in the development of the telecom industry.

Telecommunications companies can use data science to improve customer satisfaction and the quality of their services and processes.
Telecommunications companies have been successfully using data as well as statistical and mathematical models to optimize their products and services for many years. Dealing with “Big Data” is also not a novelty in the industry, but is usually part of daily business.
The methods from the areas of data science, machine learning and AI are new and exciting for all telecommunications companies, which often result in a significant increase in model quality compared to conservative, statistical approaches. In combination with the extensive databases in the Telco sector, so many new use cases and scenarios arise that can have a positive impact on business.

HData Systems’ services for Telecommunication companies

Our data science team supports you in making the best possible use of your data from operations, CRM and the network to improve your customer relationships, processes and products. Some of our services include:
• Predictive maintenance: Use predictive maintenance methods to identify problems in your devices
• Operational Analytics: Model the properties of your technical systems and prevent failures.
• Customer Analytics: Model the behavior of your customers and identify churn and upselling signals.
• Demand forecasting: Model the expected network load using machine learning models and plan capacities.
• Quality Analytics: Analyze your quality data to uncover connections and derive measures.
• IoT / connected devices: Collect data from beacons and other IoT devices in real time for analysis and modeling.

Why business should consider data science and data analytics

• Generation of data reports so that companies can anticipate the future, facing decision-making at different levels and in various organizational areas, based on reliable data.
• Avoid incomplete, imprecise or fragmented, duplicate or inconsistent data, achieving the acquisition of quality data. 
• Analysis of variables and records of detected anomalies.  
• Generation of alerts against possible failures in the processes.
• Expansion of the vision of business processes, with the possibility of improvements in the quality of products and services.
• Optimization and efficiency of processes in real time.
• Improvements in the customer experience.
• Monetize data for quantifiable revenue and opportunities.

Data types for Big Data analysis in telecommunications

The data collected, processed and analyzed by Big Data Analytics platform is grouped into four fundamental blocks:

• Web and Social Media

For a telecommunications company, it is essential to know information about its clients or potential clients: interests, tastes, jobs, affective relationships, their behavior patterns on the network, etc. they can be collected from social media environments as fundamental information to design truly profitable advertising and promotional campaigns.

• M2M (Machine To Machine)

Within the scope of the Internet of Things, the term M2M refers to the technologies that allow connection to other devices thanks to the use of sensors or event meters (speed, temperature, pressure, meteorological variables, chemical variables such as salinity, etc.), data that is transferred through networks (wired, wireless or hybrid) to other applications to be processed and thus have analyzed information.

• Data transactions

This analysis includes data such as billing or call records, transactional data that can also be analyzed to establish patterns of customer behavior with which the company can predict possible cancellations, control fraud or carry out loyalty actions.

• Information generated by clients

Users, in their relationship with the operator, generate a large amount of unstructured data (emails, phone calls, and documents) that, thanks to Big Data analytics, we can categorize based on their relevance for further analysis or discard.

Common use cases of data science in the telecom industry

  • Targeted Marketing.
  • Preventing Customer Churn.
  • Real-time Analytics.
  • Price Optimization.
  • Fraud Detection.
  • Predictive Analytics.
  • Increased Network Security.
  • Product Optimization.

Some of our top data analytics tools for telecommunication

  • Statwing
  • MaxStat
  • Statistix
  • Statistica
  • SAS
  • R
  • IBM SPSS Statistics
  • Stata
  • Microsoft Excel

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

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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.

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