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Top Big Data Companies in United Kingdom

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60 companies for Big Data in United Kingdom

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Bold Data's Logo

Bold Data

London, United Kingdom

A

1-10 Employees

2021

Key takeaway

Bold Data Ltd specializes in providing timely and high-quality data and analytics, making it easier for businesses to access vast datasets, including hundreds of millions of Amazon products. Founded by Christian Prokopp, PhD, the company leverages advanced technologies to simplify data access and enhance decision-making through reliable insights.

Reference

Core business

Make Better Decisions with Data | Bold Data

The Internet as an accessible dataset. No more data wrangling, crawling, scraping or proxies.

1Digit's Logo

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's Logo

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

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DecisionForest Capital's Logo

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

Big Data Week's Logo

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

Pivotal BI's Logo

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.

BigData4Analytics's Logo

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

Advanced IP Limited's Logo

Advanced IP Limited

Birmingham, United Kingdom

A

1-10 Employees

2012

Key takeaway

Advanced IP emphasizes its strategic partnerships with major vendors, enhancing its capability to deliver essential tools for businesses. Their multifaceted approach to Big Data includes providing the necessary network resources to support efficient operations.

Reference

Service

Big Data - Services | Advanced IP

Advanced IP’s approach to BIG-DATA is multi-fold. We can provide the network resources required to ensure smooth running of your BIG-DATA brains

datametric London's Logo

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's Logo

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


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Products and services for Big Data

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

Product: edbic

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Product: EMCP

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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: Digital retrofit at a manufacturer

Use case

Digital retrofit at a manufacturer

Electrical installation technology

The challenge: Our customer has an individually analog 30t punching and bending machine in use, which must not be interfered with in the control process. Small hairline cracks in the large drive wheel can lead to a machine failure, resulting in a production stop. Due to the high storage costs, the spare part is not kept in stock. It can take up to three weeks to order and deliver the new part. In order to avoid a machine breakdown, it should be digitally connected to the current production environment and in future the condition of the gearwheel should be analyzed by means of condition monitoring and a breakage better predicted. Our customer's goal was therefore to make the machine IoT-ready with a digital retrofit in order to reduce machine downtimes and increase machine utilization times. The solution: Digital activation of the existing system was unavoidable, which is why sensors were initially installed by the customer to detect the gear breakage. The vBox from Fraunhofer IPT processes the sensor signals and sends the data to the compacer data platform edbic. Among other things, structure-borne noise, vibration, temperature, torque and current are measured. Increased current consumption, which can be a sign of excessive load due to friction and a lack of lubricant, is detected. However, the collected and evaluated data also reveals smaller cracks. The frequency spectrum and other values are recorded, compared and examined for outliers in real time. If an outlier, such as a crack, is detected, an alarm is generated and employees are informed. They can take action if necessary and production downtime can be avoided. Our customer: a German market leader in the field of electrical installation technology and global market leader in SCHUKO® sockets, produces at two locations in Germany and exports to more than 60 countries. In order to further expand its brand leadership and establish innovations in the smart home sector, the company is taking on new digital challenges.

UseCase: Business and IoT integration in Antwerp Euroterminal

Use case

Business and IoT integration in Antwerp Euroterminal

Ports

The challenge: The implementation of a new Terminal Operating System (TOS) offered our customer the unique opportunity to rethink the entire IT landscape. Accelerating the digital transformation and reducing the workload became key target definitions. The aim was to meet the ever-changing internal and customer requirements, while offering high-quality services to end customers. The most important factors were maintaining a high level of customer satisfaction and a clear commitment to maximum security. The existing system landscape had grown with the company and was therefore very heterogeneous and poorly integrated. This had led to high maintenance and administration costs. Integration projects were only implemented when necessary and integration problems were solved by in-house developments. This led to silo thinking and resulted in increasingly fragmented and isolated knowledge. It became clear that networking the respective systems with suitable tools would create immediate added value and greater transparency. In addition to the "classic" challenges of integration projects, our customer emphasized that the topic of IoT integration was very important to them. Particular attention should be paid to finding the right speed and the right tools for the changeover. A software platform that would enable them to connect their B2B partners and their applications electronically and provide a solid basis for the planned IoT integration would therefore be far ahead of all competing offerings. The solution: The customer decided to use the compacer edbic platform as a B2B/IoT gateway. The integration platform acts as a central "data hub" for our customer and the applications of its trading partners. It has since become the core of all operational and logistical flows. edbic was supplemented in a second step by edpem to introduce business process monitoring (BPM). A whole series of integration projects were implemented in a very short space of time. Some of these were "traditional" B2B projects designed to enable the exchange of EDI, XML and proprietary data with the applications of trading partners and third parties by converting and transmitting the data transparently. In addition, a large number of applications were connected via edbic. The system for shift planning and management of terminal workers was linked to the access control system for the port, enabling automated payroll and significantly relieving the HR department of day-to-day tasks. Integration with the customer's ERP environment, on the other hand, partially automated order acceptance, fulfillment and billing. New capabilities were also added, such as the generation of data records for structured test scenarios, automated access control based on shift planning and visitor appointments, and much more. However, the port operator wanted to go one step further and tackle its first IoT project. For the pilot project, sensor data from the terminal's various weighing and measuring systems was published via edbic. A typical use case is measuring the verified gross mass (VGM) to comply with SOLAS requirements. The data obtained is now automatically fed into higher-level systems such as the TOS or stowage planning for loading ships, where it is available for further processing, analysis and visualization. The network of surveillance cameras has been connected to a perimeter security system, which enables the early detection of intruders. The comparison of number recognition events (ANPR) with access control information and TOS transactions makes anomalies visible, improves traffic management and increases security - a key concern in port terminals. All of this is controlled by edbic. This new level of digitalization makes everyday terminal logistics easier and significantly increases the efficiency of the port.

UseCase:  EDI in electronics wholesale

Use case

EDI in electronics wholesale

Wholesale

The challenge: Due to a lack of transparency in communication, there are always gaps in the transfer of know-how between the active shareholders. A standardized communication structure between customers and business partners must therefore be established. Among other things, this should also contain information on delivery information and ensure greater transparency within the business processes. One challenge, for example, was the lack of visibility of goods availability, which needed to be resolved. The solution: In addition to establishing central IT services, the aim was to create a modern communication concept for Europe-wide business processes using EDI so that all shareholders in Europe can access all data in a shared database. compacer was commissioned to develop, set up and operate a fully integrated B2B industry platform for the group of companies. In addition to the EDI component with integrated supplier onboarding portal, this was also to cover the topic of e-invoicing. An e-invoicing platform was to be established that implements e-billing, signed PDF, e-mail distribution and ZUGFeRD in practice. Our customer: is a market community in electrical wholesale and a group of companies that operates internationally in 26 countries. More than 230 independently cooperating electrical wholesalers now belong to the association. Almost every shareholder is an independent family business. The aim is to strengthen the future of wholesalers. That is why the company's focus is also on cooperation with the individual manufacturers. This is also the reason why a central e-commerce platform had to be set up and expanded.

UseCase: Demand forecasting

Use case

Demand forecasting

Supply Chain

Demand Forecasting with Thaink²: Predict with Confidence One of the most powerful use cases of Thaink² is demand forecasting, enabling businesses to predict future demand with precision, optimize resources, and reduce inefficiencies. How It Works 🔹 Data Integration – Thaink² automatically centralizes data from multiple sources (ERP, CRM, sales reports, external factors like weather, market trends, etc.). 🔹 AI-Powered Forecasting – Our machine learning models analyze historical data and external influences to generate highly accurate demand predictions. 🔹 Scenario Simulation – Businesses can test different scenarios (e.g., seasonal changes, pricing strategies, supply chain disruptions) to make informed decisions. 🔹 Automated Insights & Alerts – Real-time dashboards highlight trends, anomalies, and actionable insights, ensuring proactive decision-making. Business Impact ✅ Optimized Inventory – Reduce overstock and stockouts, ensuring the right products are available at the right time. ✅ Improved Supply Chain Efficiency – Align procurement, production, and logistics with actual demand forecasts. ✅ Revenue Growth – Increase sales by anticipating customer needs and adjusting strategies proactively. ✅ Cost Reduction – Minimize wastage and unnecessary storage costs by accurately planning stock levels. Whether you’re in retail, manufacturing, or logistics, Thaink²’s demand forecasting capabilities empower businesses to stay ahead of market trends, mitigate risks, and maximize profitability.

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 United Kingdom

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.


Insights about the Big Data results above

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

Country with most fitting companiesUnited Kingdom
Amount of fitting manufacturers1396
Amount of suitable service providers1506
Average amount of employees1-10
Oldest suiting company2000
Youngest suiting company2021

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

Start-Ups who are working in Big Data are Bold Data

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

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Big Data results by various countries

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