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Industrial companies can use data science in a variety of ways to control and optimize data-driven quality, processes and services related to the manufacture of their products.
The digital industrial revolution is here. Where the introduction of the steam engine revolutionized industrial production processes more than a hundred years ago. Today, it is data, algorithms and artificial intelligence that represent the next step in industrial production.
The algorithm-based production of goods and goods enables entire manufacturing processes to be better monitored, adjusted and optimized. Machine learning models anticipate maintenance needs and defects in machines and components. Forecast models allow the customer demand for goods to be predicted. The list of possible use cases for data science in industry is as long as it is profitable.
Our team has extensive data science experience and supports you as an industrial company in the development, implementation and implementation of data science and analytics projects in your plants and headquarters.

Our solutions at HData Systems

Data Science Consulting and Training
Data Mining
Deep learning
Predictive analytics and data science
Recommendation systems
Natural Language Processing (NLP)

Data Science in Manufacturing

There is a large amount of data present today on products, demand, supply, consumer preference, manufacturers, etc. The main reason all of this data can be useful is that industries can now leverage knowledge to meet needs and demands of their clients without any delay or lack of quality.
Data science can be helpful with regards to manufacturing in many ways, such as:

• Demand forecast

• Product customization

• Detect any type of anomaly in the supply or product chain

• Predictive Maintenance

• Automating the entire purchase and order process

• Offer different personalized services to clients and clients.

Data sourcing for the manufacturing industry

Data is everywhere and all this data is valuable if used correctly. In a value chain, one can find various types of data like sales, supply, maintenance data, etc. Apart from that, even consumers are producing a lot of data because many of the appliances and devices today are installed with sensors that give data about the product and its behavior. This is the best way to understand product quality and how and where there is a performance anomaly.
There is also a large amount of data present in plant histories and enterprise resource planning (ERP) systems, as they are a great source of data for production, operations and processing capabilities. Maintenance records and machine readings, asset data, manuals, etc. are also good sources of data.

Benefits of Using Data Science in Manufacturing

There are many ways that big data can be implemented in manufacturing and many benefits can be gained as a result such as:

Optimization of operations

Proper use of big data means that the industry can increase the overall responsiveness of the manufacturing sector, utilize resource capacity to the fullest, gain a clear picture of costs, and also make quick decisions regarding operations.

Reduce risks in the supply chain.

Using data from around the world on different political, economic and climate issues, the supply chain pattern can be designed so that there can be an efficient work chain considering all other contingencies.

Reduce costs

Using predictive data analytics, industries can now smartly invest in projects that are valuable and also focus on purchasing equipment and machinery that will lower the cost of production and improve overall performance, thereby reducing overall costs.

Improve product quality.

By having enough data on customer information about a certain product and how a certain product performs, it can be used to improve quality. Data science is also helpful in customizing products based on consumers and their demographics.

After-sales service

Today, marketing is no longer product and manufacturer oriented, it is totally customer oriented as it is not enough to sell a product but also to make sure that the customer receives quality service even after the sale. Through predictive analytics and customer services, the quality of the customer-seller relationship can be improved.

Why you should contact HData Systems

At HData Systems, we have experience in applying AI and Big Data to manufacturing processes. With the help of the data received from the sensors, we identify problems, analyze the properties and qualities of the parts during the process and, in general, extract all kinds of statistical information that helps improve decision-making in the event of any critical failure or even anticipate the same.

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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