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Top Big Data Analytics Companies in China

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60 companies for Big Data Analytics in China

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Smart Data Institute Limited's Logo

Smart Data Institute Limited

Kowloon, China

D

1-10 Employees

2016

Key takeaway

Smart Data Institute Limited (SDi) collaborates with major vendors like IBM to provide comprehensive analytics solutions, leveraging a knowledge base of over 1,200 KPIs across more than 20 industries. Their expertise in data analytics and predictive analysis positions them as a valuable resource for enhancing business performance through big data strategies.

Reference

Core business

Home page - Smart Data Institute Limited

Smart Data Institute Limited (SDi) is a data science company established in 2016 located in Hong Kong.working on both data analytic and predictive analysis.

Leading Edge Group Limited's Logo

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 data consultation and machine learning positions them as a top data analytics service provider.

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...

Wisers Information Limited's Logo

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 that provide deep insights into brand issues and market dynamics. Their expertise in data analytics is complemented by a vast database and a commitment to delivering reliable, accurate information.

Reference

Core business

KOL Analysis Platform | Big Data Analytics Tool Hong Kong

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Singularity Cloud's Logo

Singularity Cloud

Hangzhou City, China

D

- Employees

2016

Key takeaway

The company offers big data consulting services, emphasizing data intelligence management and visualization, which are crucial aspects of big data analytics.

Reference

Product

大数据_数据上云_数据智能管理_数据可视化_奇点云

DATACUBE RESEARCH CENTRE LIMITED's Logo

DATACUBE RESEARCH CENTRE LIMITED

Kowloon, China

D

1-10 Employees

2017

Key takeaway

DataCube specializes in empowering businesses through big data analytics, offering tools and expertise that enable smarter decision-making. Their team of experienced data scientists and analysts develop custom solutions that harness the power of data, utilizing AI and machine learning technologies to unlock its full potential.

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!

ESDlife Digital Solutions's Logo

ESDlife Digital Solutions

Kowloon, China

D

51-100 Employees

2010

Key takeaway

DS, a digital agency under ESDlife, has extensive experience in Big Data Analytics, utilizing advanced technologies to provide custom digital solutions that enhance data visualization and drive transformative outcomes for clients. Their expertise includes tools like Google Analytics and Power BI, ensuring a comprehensive approach to data collection and analysis.

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.

Quintain Analytics's Logo

Quintain Analytics

Hong Kong Island, China

D

- Employees

2016

Key takeaway

Quintain Analytics is focused on creating analytics and technology solutions for complex problems, indicating their expertise in data analytics. They are actively seeking data scientists with machine learning and AI experience, highlighting their commitment to advancing big data capabilities.

Reference

Core business

Quintain Analytics | Quintain Analytics

Quantum Big Data Analytics's Logo

Quantum Big Data Analytics

Kowloon, China

D

1-10 Employees

-

Key takeaway

Quantum Big Data Analytics utilizes advanced data technology to help shopping mall owners capture and analyze customer spending data. This focus on understanding shopper behaviors enables data-driven engagement and supports digital transformation.

Reference

Core business

About — Quantum Big Data Analytics

ELM Computer Technologies's Logo

ELM Computer Technologies

Sha Tin District, China

D

51-100 Employees

1990

Key takeaway

ELM Computer Technologies Limited (ELM) offers a range of IT solutions, including Business Analytics, which aligns with the query on Big Data Analytics. With nearly thirty years of experience, ELM focuses on providing tailored services that help clients navigate technological changes and maximize their investments.

Reference

Product

Business Analytics |

Find Solution Ai's Logo

Find Solution Ai

Hong Kong Island, China

D

11-50 Employees

2016

Key takeaway

The company utilizes big data analytics and deep learning technologies to transform education, medical diagnostics, and e-commerce, enhancing learning experiences and improving advertising analysis and predictions.

Reference

Product

Products | findsolutionai


Related searches for Big Data Analytics

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Products and services for Big Data Analytics

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

Product: edpem

Product

edpem

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Use cases around Big Data Analytics

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

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.

UseCase: Continuous monitoring

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.

UseCase: Continuous monitoring

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.

Information about Big Data Analytics in China

When exploring the Big Data Analytics industry in China, several key considerations come into play. The regulatory environment is crucial, as the Chinese government has implemented strict data protection laws and cybersecurity regulations, impacting how companies collect and utilize data. Understanding compliance requirements is vital for any business looking to operate in this space. Additionally, the competitive landscape in China is intense, with numerous domestic players and increasing foreign interest, which drives innovation and service differentiation. Opportunities abound due to China's vast population and the rapid digital transformation across various sectors, including retail, healthcare, and finance. Companies leveraging big data can gain insights into consumer behavior, operational efficiencies, and market trends. However, challenges such as data quality issues and integration of disparate data sources can hinder progress. Environmental concerns are also gaining traction, as businesses seek to balance data collection with sustainable practices. Furthermore, China's growing relevance in the global market means that companies in this sector must be aware of international partnerships and collaborations that can enhance their offerings. Overall, a comprehensive understanding of these factors can significantly influence success in the Big Data Analytics industry in China.


Insights about the Big Data Analytics results above

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

Country with most fitting companiesChina
Amount of fitting manufacturers65
Amount of suitable service providers52
Average amount of employees51-100
Oldest suiting company1990
Youngest suiting company2017

Frequently asked questions (FAQ) about Big Data Analytics Companies

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

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

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Big Data Analytics results by various countries

Related categories of Big Data Analytics