The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Close
Filter
Result configuration
Continents
Select continent
Locations
Result types
Company type
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
Smart Data Analytics
Dresden, Germany
A
11-50 Employees
2016
Key takeaway
The Smart Data Analytics (SDA) research group focuses on developing scalable analytics algorithms for analyzing large-scale knowledge graphs, which is highly relevant to the field of Big Data Analytics. Their work at the intersection of machine learning and knowledge graphs includes innovative approaches to question answering and representation learning.
Reference
Core business
Smart Data Analytics
SIRI Analytics
Berlin, Germany
A
1-10 Employees
-
Key takeaway
The company aims to transform how businesses harness data and technology, focusing on fostering a data-driven culture that enables actionable insights and operational efficiency. With expertise in Big Data, Machine Learning, and IoT, they offer customized solutions and analytics consulting services, utilizing advanced technologies like Hadoop and Apache Spark to unlock valuable insights from data.
Reference
Core business
Consultant,Big Data, Advanced Analytics, IoT
We provide Analytics Consulting Services, serve Business Owners, Entrepreneurs, and Enterprises.
SIEGER Consulting GmbH
Frankfurt, Germany
A
11-50 Employees
2004
Key takeaway
SIEGER is a specialized consulting firm that emphasizes digitalization and data management, particularly in highly regulated sectors. They focus on harnessing the power of Big Data and Advanced Analytics, offering tailored solutions to enhance decision-making and identify new investment opportunities while minimizing risks.
Reference
Service
Big Data & Advanced Analytics - SIEGER Consulting
Big Data & Advanced Analytics - SIEGER Consulting
Looking for more accurate results?
Find the right companies for free by entering your custom query!
25M+ companies
250M+ products
Free to use
dimajix
Frankfurt, Germany
A
1-10 Employees
2005
Key takeaway
The company specializes in Big Data Analytics, particularly within the Hadoop ecosystem and Apache Spark.
Reference
Service
Data Analytics - Dimajix
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 effective Big Data Analytics. Their Talend Data Fabric provides a comprehensive suite of cloud applications that enhance data integration and integrity, enabling enterprises to collect, govern, and analyze data efficiently.
Reference
Core business
Talend Helps Healthcare Analytics Company Integrate and Rapidly Analyze Real-World Data in the Cloud | 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.
AdvancedAnalytics.Academy
Stuttgart, Germany
A
1-10 Employees
2015
Key takeaway
AdvancedAnalytics.Academy specializes in Big Data analytics, offering a wide range of advanced training courses in data science, machine learning, and artificial intelligence. Their mission is to empower professionals to harness the potential of data, helping organizations turn insights into actionable strategies that enhance customer relationships.
Reference
Core business
advancedanalytics.academy
Sphinx Worldbiz Limited
Frankfurt, Germany
A
251-500 Employees
1996
Key takeaway
Sphinx Worldbiz Limited offers comprehensive Big Data Analytics services that enable enterprises to uncover hidden business opportunities. With a dedicated team and a strong track record, the company provides innovative IT solutions across various industries.
Reference
Service
Big Data Analytics | Big Data Services in Germany, UK, Ireland
Big Data Services along with Big Data Analytics offered by Sphinx WorldBiz Lmited allows enterprises to explore hidden business opportunities.
kiimkern.
Germany
A
1-10 Employees
-
Key takeaway
The company emphasizes its self-developed AI software as a key tool for transforming industries and enhancing productivity through technology. Their data analytics capabilities are designed to provide actionable business insights from various data sources, including big data and unstructured data, promoting a data-driven approach for critical decision-making.
Reference
Product
Data Analytics - kiimkern.
Data Analytics helps you gain actionable business insights from all your data—including big data, streaming data, and unstructured data.
OMMAX
Munich, Germany
A
101-250 Employees
2011
Key takeaway
The company specializes in digital, tech, and data transformation, emphasizing their expertise in advanced data analytics and data science. They position themselves as a leader in data-driven strategy consulting, helping clients enhance their digital readiness and growth potential through innovative analytics solutions.
Reference
Service
Advanced Data Analytics and Data Science Services | OMMAX
Cloudspace Analytics
Eschborn, Germany
A
1-10 Employees
2004
Key takeaway
Cloudspace Analytics specializes in big data analytics, offering advanced predictive analytics capabilities that turn customer data into actionable insights, thereby maximizing revenue potential. Their expertise supports strategic decision-making across various industries, making them a key player in the analytics landscape.
Reference
Core business
Predictive Analytics powered by Cloudspace Analytics
Cloudspace Analytics are leading experts in the world of predictive analytics, Big Data, Customer Relationship Management and Business Intelligence
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
edpem
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
Airport, Logistics
The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.
Use case
Continuous monitoring
Logistics
The challenge: The pharmaceutical company works closely with logistics service providers. Due to the volatile nature of the sector's order book, it was difficult to accurately predict capacity utilization, leading to recurring problems with service providers during collection. Service providers need timely information on freight volumes, collection details and the appropriate mode of transport. A key challenge was the sharing of real-time transport data. Another key concern was tracking and tracing, which proved difficult due to incomplete integration of certain areas of the warehouse management system. In addition, real-time monitoring of internal and external departments and service providers was required to optimize logistics processes. The solution: edpem was implemented as an end-to-end monitoring solution to improve logistics processes. The monitoring covered the entire delivery process, from SAP order documents and invoices to final delivery. Connection and monitoring of the warehouse management system was also part of the scope. Comprehensive tracking of goods throughout the supply chain enabled quick retrieval of information without involving other departments, saving valuable time and resources. Optimal vehicle selection for parcel collection and product tracking by batch were achieved. Internal IT system security was ensured, as external partners could only access edpem without needing permissions for internal applications. Parcel scanning enabled customer order tracking and tracing, early problem identification and real-time notification of process owners. edpem tracked the entire shipping process from packaging to customer delivery. The automation of electronic data interchange (EDI) provided new opportunities for superior service and quality for customers and logistics providers. Our customer: A pharmaceutical company based in Germany provides "Made in Germany" products to patients worldwide, with almost all products manufactured at its headquarters in Baden-Baden and distributed through an extensive network. Its main focus is on the research and production of medicines based on natural ingredients. The company has achieved global growth and operates in 50 countries.
Use case
Continuous monitoring
Airport, Logistics
The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.
When exploring the Big Data Analytics industry in Germany, several key considerations come into play. First, understanding the regulatory environment is crucial, as the General Data Protection Regulation (GDPR) imposes strict rules on data handling and privacy that companies must comply with. This affects how data is collected, stored, and processed, making compliance a top priority for businesses. Additionally, the competitive landscape is evolving rapidly, with both established firms and startups vying for market share. Germany's strong emphasis on innovation and technology creates numerous opportunities for growth in sectors such as finance, healthcare, and manufacturing, where data-driven decision-making is increasingly vital. Environmental concerns are also significant, as the industry must address the carbon footprint associated with data centers and processing. Companies are encouraged to adopt sustainable practices to minimize their impact. Challenges include the need for skilled professionals, as the demand for data scientists and engineers often exceeds supply. Furthermore, the global market relevance of Germany's Big Data sector is notable, as it plays a pivotal role in the European data economy, attracting international investments. Staying informed about these factors can help potential entrants navigate the complexities of the industry and identify viable business opportunities.
Some interesting numbers and facts about your company results for Big Data Analytics
Country with most fitting companies | Germany |
Amount of fitting manufacturers | 320 |
Amount of suitable service providers | 297 |
Average amount of employees | 11-50 |
Oldest suiting company | 1996 |
Youngest suiting company | 2016 |
Some interesting questions that has been asked about the results you have just received for Big Data Analytics
What are related technologies to Big Data Analytics?
Based on our calculations related technologies to Big Data Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Big Data Analytics?
The most represented industries which are working in Big Data Analytics are IT, Software and Services, Other, Consulting, Marketing Services, Research
How does ensun find these Big Data Analytics 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.