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Inspur Cloud
Jinan, China
D
10001+ Employees
2010
Key takeaway
The company offers big data storage and analysis services, highlighting their product advantages, functionalities, and application scenarios.
Reference
Product
大数据
Singularity Cloud
Hangzhou City, China
D
- Employees
2016
Key takeaway
The company specializes in big data consulting, data intelligence management, and data visualization, highlighting its expertise in implementing data platforms and cloud solutions.
Reference
Product
大数据_数据上云_数据智能管理_数据可视化_奇点云
ESDlife Digital Solutions
Kowloon, China
D
51-100 Employees
2010
Key takeaway
ESDlife Digital Solutions has extensive experience in Big Data, utilizing technologies like Google Analytics and Power BI for data visualization. Their expertise in advanced digital technologies supports clients in transforming data into meaningful insights.
Reference
Service
Big Data - ESDlife Digital Solutions
ESDlife has a mature technology and experience in Big data. Big data is the widely adopted. Google Analytics, Power BI is commonly used in data visualization. Automation test will be used in software testing to better comprehend data collection process.
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DATACUBE RESEARCH CENTRE LIMITED
Kowloon, China
D
1-10 Employees
2017
Key takeaway
DataCube specializes in empowering businesses to leverage big data and machine learning technologies to enhance decision-making. With a team of experienced data scientists, they develop custom solutions that unlock the full potential of data, making it a key player in the data-driven landscape.
Reference
Core business
Datacube Research Center | We Make Data Smart
Elevate your growth with Datacube's AI, machine learning, and data analytics in Hong Kong! Improve your business with our innovative platform. Discover the limitless potential of Value-Driven AI. Trust in Datacube, your reliable partner for a data-driven future!
Datahoot.com
Huangpu District, China
D
11-50 Employees
2017
Key takeaway
Datahoot leverages text-mining technology for data analysis, enabling efficient customer segmentation and targeting. This focus on data optimization helps businesses make informed decisions and enhance their supply chain.
Reference
Core business
Datahoot.com. Optimize your supply chain and generate high quality sales leads.
Data Pipeline
Dongcheng District, China
D
51-100 Employees
2016
Key takeaway
The company utilizes log-based incremental data capture technology, enabling rich and automated semantic mapping between heterogeneous data while supporting both real-time and batch data processing. This capability ensures accurate incremental data retrieval from various databases, making it particularly relevant for Big Data applications.
Reference
Product
互联网行业实时数据融合解决方案-DataPipeline数见科技,定义基于DataOps的下一代数据基础设施
Wisers Information Limited
Hong Kong Island, China
D
501-1000 Employees
1998
Key takeaway
WisersAnalytics is a leading provider of big data solutions in Hong Kong, offering advanced analytics and comprehensive market insights that address brand issues and market dynamics. Their expertise in data analytics positions them at the forefront of delivering valuable insights through innovative tools and a vast database of information.
Reference
Core business
KOL Analysis Platform | Big Data Analytics Tool Hong Kong
Datatang
Dongcheng District, China
D
501-1000 Employees
2011
Key takeaway
Datatang is a leading provider of AI training data solutions, offering over 500 datasets and extensive data services that enhance AI model performance. With a vast collection that includes 200,000 hours of speech data and 800TB of image data, Datatang supports diverse R&D needs, making it a key player in the big data landscape.
Reference
Core business
Datatang株式会社(データ・タング株式会社)
Luk Advisor Limited
Hong Kong Island, China
D
11-50 Employees
2019
Key takeaway
The company emphasizes the significance of data as a critical resource for business growth, leveraging teams of experts to integrate Artificial Intelligence and Data Science across various industries. Their focus on exploiting Big Data for disruptive innovation positions them as a key player in enhancing operational processes and revenue strategies through advanced technological capabilities.
Reference
Core business
Luk Advisor
Leading Edge Group Limited
Kowloon, China
D
11-50 Employees
2014
Key takeaway
Leading Edge Group specializes in data analytics solutions for the insurance industry, providing services such as profit analysis and predictive analysis. Their expertise in handling various data types underscores their commitment to leveraging big data for informed decision-making.
Reference
Core business
Leading Edge Group Limited - Hong Kong Top Data Analytics
Hong Kong Top Data Analytics service provider, offers one-stop data services, like Data Consultation, Modern Data Platform Migration, Ai/ML Machine Learning, Predictive Analysis/Forecast Analysis/Trend Analysis...
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 China, several key considerations emerge. The regulatory environment is crucial, as the Chinese government enforces strict data privacy laws and cybersecurity measures, notably the Cybersecurity Law and Personal Information Protection Law. Understanding these regulations is essential for compliance and operational success. Additionally, challenges such as data quality and integration can impact the effectiveness of Big Data strategies. Companies must also navigate the competitive landscape characterized by rapid technological advancements and the presence of both domestic giants and international players. Opportunities abound in sectors like healthcare, finance, and smart cities, where data-driven insights can significantly enhance decision-making and efficiency. Furthermore, environmental concerns are increasingly relevant, especially as data centers consume substantial energy. Companies are now encouraged to adopt sustainable practices to minimize their carbon footprint. Lastly, the global market relevance of China's Big Data sector cannot be overlooked, as it plays a pivotal role in international trade and technology collaboration. Staying informed about these factors will help anyone interested in the industry to make well-informed decisions and identify potential partnerships or investments.
Some interesting numbers and facts about your company results for Big Data
Country with most fitting companies | China |
Amount of fitting manufacturers | 75 |
Amount of suitable service providers | 50 |
Average amount of employees | 51-100 |
Oldest suiting company | 1998 |
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, Marketing Services, Electronics and Electrical engineering, 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.