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HadSol GmbH
Bremen, Germany
A
1-10 Employees
-
Key takeaway
HADSOL GmbH specializes in big data services, offering reliable and scalable software solutions that can effectively manage large volumes of data and complex systems. Their expertise positions them as a key partner for enterprises looking to harness the power of big data for sustainable growth.
Reference
Core business
Big Data – Hadsol
BigBangData GmbH
Weßling, Germany
A
1-10 Employees
2016
Key takeaway
BigBangData GmbH specializes in Smart Data Driven Advertising, offering transparency and efficiency in managing data-driven campaigns from various sources. Their technology enables targeted advertising and tracking, ensuring users are engaged at different stages of the decision-making process.
Reference
Service
Services - BigBangData
DataWhizz
Ismaning, Germany
A
1-10 Employees
2018
Key takeaway
DataWhizz highlights its extensive expertise in big data, analytics, and data science, offering custom, enterprise-ready end-to-end solutions to address various challenges.
Reference
Core business
DataWhizz – Data Is Our Passion
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SIRI Analytics
Berlin, Germany
A
1-10 Employees
-
Key takeaway
The company aims to transform how businesses utilize data and technology, emphasizing a culture of data-driven decision-making to unlock valuable insights and enhance operational efficiency. They specialize in Big Data solutions, utilizing open-source technologies and advanced analytics to empower organizations with actionable insights for strategic advantage.
Reference
Core business
Consultant,Big Data, Advanced Analytics, IoT
We provide Analytics Consulting Services, serve Business Owners, Entrepreneurs, and Enterprises.
DataBorg
Hamburg, Germany
A
1-10 Employees
2020
Key takeaway
DataBorg offers a comprehensive knowledge management suite that enables companies to effectively utilize their data through intelligent solutions, making it particularly valuable for Big Data applications. With tools for knowledge integration and AI-assisted data comprehension, DataBorg helps businesses enhance data quality and unlock insights essential for informed decision-making.
Reference
Core business
DataBorg - Hypercharge your data
DataBorg provides an all-in-one AI-powered platform for consumers and businesses that allows them to improve data understanding through knowledge extraction, integration and analysis.
Sopera
Bonn, Germany
A
11-50 Employees
-
Key takeaway
Talend addresses the challenges organizations face in understanding and managing their data, which is crucial for leveraging big data effectively. Their Talend Data Fabric provides a comprehensive suite of tools for data integration and integrity, enabling large-scale, real-time analytics.
Reference
Core business
Talend Unveils Bulk Data Uploader to Enable Large-Scale, Real-Time Analytics on Microsoft Azure SQL Data Warehouse | Talend
Talend Data Fabric offers a single suite of cloud apps for data integration and data integrity to help enterprises collect, govern, transform, and share data.
Big Data Framework
Bonn, Germany
A
11-50 Employees
2017
Key takeaway
The company is dedicated to advancing Big Data best practices through its Enterprise Big Data Framework, which offers free educational resources on data, analytics, machine learning, and AI to a global community.
Reference
Core business
Enterprise Big Data Framework | Advancing Big Data Best Practice
The Enterprise Big Data Framework Alliance is an independent body of knowledge for the advancement of Big Data best practices.
dimajix
Frankfurt, Germany
A
1-10 Employees
2005
Key takeaway
Dimajix is an expert in the Hadoop ecosystem and Apache Spark, focusing on Big Data and Data Lakes.
Reference
Service
Big Data & Data Lakes - Dimajix
BigData-Insider
Augsburg, Germany
A
51-100 Employees
2014
Key takeaway
The company emphasizes its capability to process and respond to user emotions, leveraging technology that enables real-time creation of text, images, music, and software code. It also highlights the importance of data-driven organizations and mentions BigData-Insider, a specialized portal for Big Data, Business Intelligence, and Machine Learning.
Reference
Core business
BigData-Insider - das Fachportal für Big Data, Business Intelligence, Datawarehouse, künstliche Intelligenz und Machine Learning
SIEGER Consulting GmbH
Frankfurt, Germany
A
11-50 Employees
2004
Key takeaway
SIEGER is a specialized consulting firm that emphasizes digitalization and data management in highly regulated industries. They focus on leveraging the potential of tools like Tableau for data analysis and visualization, which is integral to their approach, particularly in the context of Big Data and Advanced Analytics.
Reference
Service
Big Data & Advanced Analytics - SIEGER Consulting
Big Data & Advanced Analytics - SIEGER Consulting
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
Go to product
Service
EMCP
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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 Germany, several key considerations should be noted. The country has a robust regulatory framework, particularly with the General Data Protection Regulation (GDPR), which mandates strict data privacy and protection measures. Companies must ensure compliance, impacting how data is collected, stored, and analyzed. The competitive landscape is vibrant, with numerous established firms and emerging startups focusing on innovative solutions, fostering an environment ripe for collaboration and technological advancement. Opportunities abound in sectors such as finance, healthcare, and manufacturing, where data-driven decision-making is becoming essential. However, challenges persist, including a shortage of skilled professionals and the need for advanced infrastructure to handle vast data volumes efficiently. Environmental concerns related to data centers, such as energy consumption and carbon footprint, are increasingly significant as companies strive for sustainable practices. Furthermore, Germany's position within the European Union enhances its global market relevance, as it serves as a hub for data analytics and technology development in Europe. Understanding these factors is crucial for anyone interested in engaging with the Big Data sector in Germany.
Some interesting numbers and facts about your company results for Big Data
| Country with most fitting companies | Germany |
| Amount of fitting manufacturers | 328 |
| Amount of suitable service providers | 302 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2004 |
| Youngest suiting company | 2020 |
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
Which industries are mostly working on Big Data?
The most represented industries which are working in Big Data are IT, Software and Services, Other, Consulting, Marketing Services, Research
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.
