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1Digit
London, United Kingdom
A
11-50 Employees
2012
Key takeaway
The company focuses on simplifying complex Big Data challenges, enabling clients to quickly harness the value of their business and customer data. They offer strategic data services and emphasize the importance of innovation and flexibility in delivering effective data solutions.
Reference
Product
1DIGIT - Big Data platforms and cloud-first digital consultancy
OpenDataDSL
Chelmsford, United Kingdom
A
1-10 Employees
-
Key takeaway
The company focuses on providing high-quality and flexible data management and reporting tools for MongoDB, which is essential for effective big data handling. Their solutions enable businesses to collect and store data securely, leveraging cloud technology for scalability and performance.
Reference
Core business
OpenDataDSL - Smart SAAS Data Management for MongoDB | OpenDataDSL - Smart SAAS Data Management for MongoDB
Smart Data Management Tools
DecisionForest Capital
London, United Kingdom
A
1-10 Employees
2018
Key takeaway
The company specializes in Data & AI, offering tailored training and solutions that can enhance your understanding and utilization of Big Data.
Reference
Core business
Your Data & AI Partner
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Big Data Week
London, United Kingdom
A
1-10 Employees
2011
Key takeaway
Big Data Week is a global initiative that connects communities through events focused on the latest big data solutions and innovations across various industries. It offers a platform for knowledge sharing and collaboration, making it a key opportunity for those interested in data exploration.
Reference
Core business
big-data - Big Data Week
BigData4Analytics
London, United Kingdom
A
1-10 Employees
2012
Key takeaway
BigData4Analytics specializes in leveraging AI and data analytics to create significant business transformations for organizations of various sizes. Their expertise lies in using big data as a strategic asset to enhance performance and drive value.
Reference
Core business
Management Consultants in Big Data | BigData4Analytics
Pivotal BI
London, United Kingdom
A
1-10 Employees
2000
Key takeaway
Pivotal BI specializes in designing and implementing big data architectures, leveraging cloud data services to enhance data value and address integration challenges. Their expertise in data analytics and business intelligence ensures a focus on delivering business value and reducing implementation time.
Reference
Service
Big Data (Processing and Analytics) - Pivotal BI
At Pivotal BI we will work with you to design, implement and support a big data architecture that will increase the value of the data within your business.
datametric London
London, United Kingdom
A
1-10 Employees
2019
Key takeaway
Datametric is a data-centric company that specializes in Big Data and Business Intelligence, offering comprehensive data analytics and visualizations. Their expertise in these areas enables them to deliver valuable insights that help businesses make strategic decisions and improve overall efficiency.
Reference
Service
datametric - IT Solutions
Five Cool
London, United Kingdom
A
11-50 Employees
2009
Key takeaway
Streamhub specializes in big data analysis for marketing, audience segmentation, and editorial insights, offering a cloud platform that provides robust reports in a user-friendly interface. Their expertise in integrating analytics solutions across various video players and platforms, combined with cutting-edge technology for managing big data, makes them a valuable resource for broadcasters, publishers, and VOD aggregators.
Reference
Service
Streamhub - Data, Enabled
Streamhub is a big data real time analytics services developed for the media industry
DataPillar
London, United Kingdom
A
51-100 Employees
2008
Key takeaway
DataPillar is a leading provider of data and AI-centric solutions, offering a comprehensive range of services including data consulting, analytics, and data management. Their expertise in data processing and modern technologies empowers businesses to innovate and transform through effective use of big data.
Reference
Product
DataPillar - Trending Data & AI Solutions Technologies 2023
Empowering businesses with cutting-edge technologies to unlock full potential of data. AWS, Microsoft, Google Cloud partnership services...
datorra
London, United Kingdom
A
1-10 Employees
-
Key takeaway
Datorra emphasizes the transformative power of purchasing market data from third-party providers, highlighting its ability to provide valuable insights into market trends and consumer behavior. With their robust cloud-hosted databases in Microsoft Azure, they ensure that data is always up-to-date and easily accessible, enabling better business decisions.
Reference
Core business
datorra | Buying third party data, made easy
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
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 the United Kingdom, several key factors should be taken into account. Understanding the regulatory landscape is crucial, particularly with the UK's adherence to the General Data Protection Regulation (GDPR), which governs data privacy and protection. Compliance with these regulations is essential for companies handling large datasets. Additionally, the competitive landscape is robust, with numerous startups and established firms vying for market share, requiring potential entrants to develop unique value propositions to stand out. Furthermore, the UK boasts a strong talent pool, with numerous universities offering specialized programs in data science and analytics, making it easier for companies to recruit skilled professionals. However, challenges such as data security and ethical considerations in data usage must be addressed proactively. Opportunities in sectors like healthcare, finance, and retail are significant, as organizations increasingly rely on data-driven decision-making. Environmental concerns are also gaining attention, with a push towards sustainable data practices and energy-efficient data centers, reflecting a broader commitment to corporate social responsibility. Overall, the Big Data industry in the UK presents a dynamic environment, characterized by regulatory complexities, competitive pressures, and vast opportunities, making it essential for interested parties to stay informed and agile.
Some interesting numbers and facts about your company results for Big Data
| Country with most fitting companies | United Kingdom |
| Amount of fitting manufacturers | 963 |
| Amount of suitable service providers | 1035 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2000 |
| Youngest suiting company | 2019 |
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, Finance and Insurance
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.
