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Fragma Data Systems
Bengaluru, India
D
51-100 Employees
2015
Key takeaway
Fragma Data Systems is a Big Data Analytics solutions provider that helps companies across various industries transform their data into valuable insights, enhancing decision-making and operational excellence.
Reference
Service
Big Data and Analytics | Fragma Data
Tekolutions.ai
Mumbai, India
D
11-50 Employees
2016
Key takeaway
Tekolutions.ai specializes in big data analytics, utilizing advanced tools and processes to extract actionable insights from large volumes of diverse data. Their expertise in machine learning and artificial intelligence enhances their capabilities in data mining, pattern matching, and predictive modeling, enabling businesses to make informed decisions.
Reference
Core business
BigData – Tekolutions
dataswat
Vadanappally, India
D
11-50 Employees
2019
Key takeaway
The company specializes in delivering data-driven transformations through advanced technologies in big data, cloud, and AI/ML methodologies. Their partnership with Dataswat has facilitated the implementation of a cutting-edge Cloud Data Platform, enabling organizations to effectively harness their data for innovation.
Reference
Service
Big Data - DataSwat
From ingestion to pipelines to actionable insights and everything in between, we help companies turn their data into a tool for innovation
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innData Analytics Private Limited
Visakhapatnam, India
D
11-50 Employees
2015
Key takeaway
The company, through its innData Big Data Analytics software, simplifies the transformation of Big Data in Hadoop into actionable insights, making it accessible for users without programming knowledge. Their platform offers both batch and real-time data analysis, along with intuitive tools for generating visualizations from large datasets.
Reference
Product
InnData Analytics
EverTron Consultancy Private Limited
Howrah, India
D
11-50 Employees
-
Key takeaway
The company specializes in big data engineering and data science, offering expertise in technologies like Hadoop and Spark for data processing and analytics. They provide comprehensive solutions for machine learning and data visualizations, making them a key player in the big data landscape.
Reference
Core business
Big Data, Machine Learning & AI Solution Provider
ValueData Technologies Private Limited
Mumbai, India
D
11-50 Employees
2017
Key takeaway
ValueData Technologies emphasizes its commitment to creating a robust data ecosystem that supports real-time data management and integration, which is essential for leveraging Big Data. Their "Data to Value" approach aims to provide businesses with the necessary tools and infrastructure to effectively utilize and analyze large datasets.
Reference
Product
Big Data & Analytics - ValueData Technologies Pvt. Ltd.
ValueData Technologies will help you to build your Big Data ecosystem leveraging on your existing data and IT Infrastructure. Our Converged Data Platform
Vizlake Analytics
Ernakulam, India
D
1-10 Employees
2021
Key takeaway
The company focuses on becoming a leader in enterprise insightfulness through the effective use of data, highlighting its expertise in Big Data consulting services.
Reference
Service
Big Data Consulting – Vizlake Analytics
Big Data BizViz
Bengaluru, India
D
101-250 Employees
2015
Key takeaway
BDB is a comprehensive end-to-end Data Analytics platform designed to empower enterprises in digitization and data monetization, making it highly relevant for organizations looking to leverage big data. With over 65 built-in components for handling streaming and batch data, BDB enables seamless data integration and transformation, ensuring robust analytics capabilities.
Reference
Core business
BDB-Decision Platform
DataColumns
Kurukshetra, India
D
1-10 Employees
-
Key takeaway
The company emphasizes its expertise in data-driven solutions, particularly in collecting and analyzing data to develop strategies that aid businesses in achieving their objectives. Their focus on data mining and analytics highlights their capabilities in leveraging big data effectively.
Reference
Service
Big Data Analytics - Data Columns
DataSherpa.io
Pune, India
D
1-10 Employees
2017
Key takeaway
DataSherpa is a specialized company in Big Data and Advanced Analytics, helping businesses manage data and derive insights for informed decision-making. With a strong foundation in data science and cloud technologies, DataSherpa collaborates with organizations to develop data-driven strategies that foster growth and competitive advantage.
Reference
Core business
DataSherpa - Big Data & Advanced Analytics Company
DataSherpa is a big data & Advanced analytics company that helps businesses of all sizes manage data, gather insights and take decisions that drive success, growth and c
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Product
edbic
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Service
EMCP
Go to product
A selection of suitable use cases for products or services provided by verified companies according to your search.
Use case
Continuous monitoring
Manufacturing
The challenge Blickle has always prided itself on the superior quality of its wheels and castors. To further enhance this quality with modern technology, the company decided to migrate its production processes to Industry 4.0 standards. This planned transition should have minimal impact on the three-shift production operation, while maintaining flexibility and openness for future digitalization initiatives. The solution Blickle IT developed a concept to enable a sustainable and gradual transformation. At the heart of the strategy is edbic, which enables condition monitoring. Acting as a central data hub, edbic seamlessly extracts data from the machines, transfers it to the ERP system and provides full production transparency. The result With the implementation of edbic, machine data no longer reaches IT incomplete or delayed. Immediate data analysis enables rapid problem resolution. Automatic punching presses are monitored to determine output results, missing parts, quantities and more. By eliminating most of the Excel lists previously used, edbic has significantly streamlined operations. In polyurethane production, edbic identifies and corrects problems, contributing to Blickle's high quality castors and wheels. In addition, edbic is now being used beyond production, facilitating connections to payment providers in the web shop and establishing a communication link with SAP. Outlook for the future Blickle plans to further refine the system by using machine data comparison for predictive maintenance. In addition, the company is considering implementing the compacer IoT gateway to take communication between machines and the ERP system to a new level of automation.
Use case
IoT gateway and Industry 4.0 application
Industry 4.0, Manufacturing
The challenge: BURKHARDT+WEBER is renowned for its expertise in large machining centres. Headquartered in Reutlingen, Germany, the company has a global presence and supplies its products to customers around the world who place a premium on quality. For 130 years, BURKHARDT+WEBER has focused on developing state-of-the-art production solutions for the demanding machining of steel, cast iron and titanium components. The development of these machining centres is the collaborative work of interdisciplinary teams, and all essential components, as well as in-house developments, are manufactured within the company. The compacer IoT solution, built on the edbic platform, is planned for future integration into BURKHARDT+WEBER machining centres. The installation of the compacer IoT gateway enables data collection from the machine's control system. In the long term, BURKHARDT+WEBER machines will offer a wide range of data that can be examined in real time to provide a detailed overview of the machine's condition and efficiency on a dashboard. The solution: An IoT hub will process the collected data, enabling a variety of assessments and ensuring that the operator is kept informed at all times. With machines connected to the compactor solution, condition monitoring is possible, paving the way for the implementation of predictive maintenance. With this approach, BURKHARDT+WEBER enables its customers to successfully implement upcoming digital transformation projects within their production processes.
Use case
Continuous monitoring
Manufacturing
The challenge Blickle has always prided itself on the superior quality of its wheels and castors. To further enhance this quality with modern technology, the company decided to migrate its production processes to Industry 4.0 standards. This planned transition should have minimal impact on the three-shift production operation, while maintaining flexibility and openness for future digitalization initiatives. The solution Blickle IT developed a concept to enable a sustainable and gradual transformation. At the heart of the strategy is edbic, which enables condition monitoring. Acting as a central data hub, edbic seamlessly extracts data from the machines, transfers it to the ERP system and provides full production transparency. The result With the implementation of edbic, machine data no longer reaches IT incomplete or delayed. Immediate data analysis enables rapid problem resolution. Automatic punching presses are monitored to determine output results, missing parts, quantities and more. By eliminating most of the Excel lists previously used, edbic has significantly streamlined operations. In polyurethane production, edbic identifies and corrects problems, contributing to Blickle's high quality castors and wheels. In addition, edbic is now being used beyond production, facilitating connections to payment providers in the web shop and establishing a communication link with SAP. Outlook for the future Blickle plans to further refine the system by using machine data comparison for predictive maintenance. In addition, the company is considering implementing the compacer IoT gateway to take communication between machines and the ERP system to a new level of automation.
When exploring the Big Data industry in India, several key considerations come into play. The regulatory landscape is evolving, with data protection laws like the Personal Data Protection Bill aiming to safeguard user information, making it crucial for companies to ensure compliance. Challenges include the scarcity of skilled professionals in data analytics and artificial intelligence, posing a barrier to entry for many organizations. However, the opportunities are vast, as India’s rapidly growing digital ecosystem generates immense data, driving demand for innovative analytics solutions. The competitive landscape is marked by both established players and emerging startups, fostering a dynamic environment where collaboration and innovation thrive. Companies must also consider environmental impacts, as data centers consume significant energy, necessitating sustainable practices to minimize their carbon footprint. Furthermore, the global relevance of India in the Big Data sector is on the rise, as international firms look to leverage India's talent pool and technological advancements. Being aware of these factors will enable interested parties to make informed decisions when researching and engaging with companies in the Big Data industry in India.
Some interesting numbers and facts about your company results for Big Data
| Country with most fitting companies | India |
| Amount of fitting manufacturers | 717 |
| Amount of suitable service providers | 809 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2015 |
| Youngest suiting company | 2021 |
Some interesting questions that has been asked about the results you have just received for Big Data
What are related technologies to Big Data?
Based on our calculations related technologies to Big Data are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Big Data?
Start-Ups who are working in Big Data are Vizlake Analytics
Which industries are mostly working on Big Data?
The most represented industries which are working in Big Data are IT, Software and Services, Other, Marketing Services, Research, Education
How does ensun find these Big Data Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
