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Top Big Data Companies in Germany

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60 companies for Big Data in Germany

Databay AG's Logo

Databay AG

Würselen, Germany

A

11-50 Employees

2000

Key takeaway

The Databay AG emphasizes its expertise in developing customized applications and offers comprehensive services for the implementation and operation of ILIAS. Their involvement in research projects and partnerships highlights their commitment to innovation and technology.

Reference

Core business

Detail : Databay AG

Dataport's Logo

Dataport

Altenholz, Germany

A

1001-5000 Employees

2004

Key takeaway

Dataport strategically and efficiently implements digitalization projects, enhancing the attractiveness and economic strength of cities and regions. Their focus on innovative solutions and collaboration with local providers suggests a strong capability in managing and utilizing big data for improved decision-making and streamlined workflows.

Reference

Product

dDataBox | Dataport

PRODATA GmbH's Logo

PRODATA GmbH

Karlsruhe, Germany

A

51-100 Employees

1991

Key takeaway

PRODATA Datenbanken und Informationssysteme GmbH emphasizes its expertise in creating efficient IT processes for marketing and sales, which may be relevant for organizations looking to leverage big data for these purposes. With over 29 years of experience and a focus on innovative IT solutions, PRODATA positions itself as a valuable partner for businesses seeking to enhance their data-driven strategies.

Reference

Core business

Interesting for all online providers - Prodata Systeme&Services

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Daten Manager's Logo

Daten Manager

Bechtheim, Germany

A

1-10 Employees

-

Key takeaway

The company offers a platform called Daten-Manager that enables businesses to provide candidates and customers with a convenient way to maintain control over their personal data.

Reference

Core business

Daten Manager

DAP GmbH's Logo

DAP GmbH

Frankfurt, Germany

A

51-100 Employees

1979

Key takeaway

DAP is a leading provider of business software for media agencies, and they have developed and implemented a data protection management system, which is continuously adapted to new legal and technical requirements.

Reference

Product

DAP-Systems - BPO Data Service

ValueData GmbH's Logo

ValueData GmbH

Stuttgart, Germany

A

1-10 Employees

2019

Key takeaway

ValueData emphasizes the increasing demand for data-driven value creation in the context of digitalization and the use of powerful tools like artificial intelligence. They leverage traditional business intelligence, modern big data architectures, and complex analytics to activate data, addressing current and future challenges in the life sciences sector.

Reference

Service

Services - ValueData

DATAGYM.AI - AI-powered Annotation Tools's Logo

DATAGYM.AI - AI-powered Annotation Tools

Munich, Germany

A

11-50 Employees

2019

Key takeaway

DATAGYM, developed by mgm technology partners GmbH, is a powerful platform that enhances the efficiency of data labeling for computer vision models, enabling data scientists to annotate images significantly faster. Its AI-powered tools and seamless integration with various data sources make it an essential solution for managing and exporting high-quality training data.

Reference

Product

Product - DataGym

Infodat's Logo

Infodat

Frankfurt, Germany

A

11-50 Employees

-

Key takeaway

The company specializes in providing comprehensive technology solutions, including end-to-end supply chain services for data center equipment, which can be crucial for managing and analyzing big data effectively. With over 20 years of global experience, they enhance service delivery and reduce costs for enterprise organizations.

Reference

Service

Infodat

providata GmbH's Logo

providata GmbH

Freiburg im Breisgau, Germany

A

251-500 Employees

-

Key takeaway

providata is a reliable partner in process and data management within the energy sector, offering excellent solutions that encompass various aspects of the value chain. Their expertise extends to areas like the Internet of Things (IoT) and Robotic Process Automation (RPA), highlighting their commitment to innovative data management strategies.

Reference

Core business

providata – Prozesse, Visionen, Daten. | providata

Aus e.dat und E-MAKS wurde providata – der zuverlässige Partner im Bereich Prozess- und Datenmanagement in der Energiewirtschaft mit Lösungen in den Segmenten Abrechnung, Forderungsmanagement, Marktkommunikation, Energiedatenservice, Messervice und Kundenservice, IoT und RPA.

Provendor GmbH's Logo

Provendor GmbH

Bad Reichenhall, Germany

A

1-10 Employees

2010

Key takeaway

Provendor GmbH is a full-service procurement provider that emphasizes technical competence and proactive communication with clients. Their collaboration highlights the need for reliable and flexible suppliers, which is crucial for projects that may involve big data applications, particularly in areas like artificial intelligence and decarbonization.

Reference

Service

Services • Provendor


Related searches for Big Data

Technologies which have been searched by others and may be interesting for you:

Products and services for Big Data

A selection of suitable products and services provided by verified companies according to your search.

Product: edbic

Product

edbic

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Product: EMCP

Service

EMCP

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Use cases around Big Data

A selection of suitable use cases for products or services provided by verified companies according to your search.

UseCase: Continuous monitoring

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.

UseCase:  IoT gateway and Industry 4.0 application

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.

UseCase: Continuous monitoring

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.

Information about Big Data in Germany

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.


Insights about the Big Data results above

Some interesting numbers and facts about your company results for Big Data

Country with most fitting companiesGermany
Amount of fitting manufacturers374
Amount of suitable service providers373
Average amount of employees11-50
Oldest suiting company1979
Youngest suiting company2019

Frequently asked questions (FAQ) about Big Data Companies

Some interesting questions that has been asked about the results you have just received for Big Data

Based on our calculations related technologies to Big Data are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

The most represented industries which are working in Big Data are IT, Software and Services, Other, Consulting, Marketing Services, Media and Entertainment

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Big Data results by various countries

Related categories of Big Data