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Celcius
Incheon, South Korea
A
1-10 Employees
2021
Key takeaway
Celcius, a data infrastructure and AI company, addresses the complexities of processing and analyzing large data volumes, which is essential for effective data mining. Their focus on business intelligence and analytics dashboards provides actionable insights through enhanced data visualization.
Reference
Core business
Celcius - Data Infrastructure and AI
Celcius, a data infrastructure and AI company
UNISON Co. Ltd.
Seoul, South Korea
A
11-50 Employees
2003
Key takeaway
The company, UNISON Co., Ltd., is a key partner in data engineering for major domestic corporations and provides modern analytics environments based on Self-Service BI. They develop and supply the EcoBrio platform, which integrates AIoT solutions and offers consulting services tailored to clients' analytics needs.
Reference
Core business
Big Data – UNISON Co., Ltd.
Stella IT
South Korea
A
- Employees
2017
Key takeaway
Stella IT offers robust cloud computing services through its CloudPC and Datacenter, catering to high-demand users and individuals alike. Their infrastructure supports various applications, including game servers and web services, with enhanced security measures.
Reference
Core business
Stella IT
Innovating world with Technology
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EvidNet
Seongnam-si, South Korea
A
11-50 Employees
2017
Key takeaway
EvidNet specializes in building healthcare data platforms that support big data IT solutions for professionals, facilitating remote multicenter research and analysis. Their services include data extension and integration, making it easier to conduct studies using real-world data (RWD) and manage medical histories across multiple hospitals.
Reference
Product
Products - evidnet
에비드넷은 의료데이터 플랫폼을 구축하여 전문가를 위한 빅데이터 IT 솔루션을 지원하고, 의료마이데이터를 통해 개인의 스마트한 건강관리를 돕는 의료데이터 전문 기업입니다.
JNPMEDI Inc.
Seoul, South Korea
A
11-50 Employees
2020
Key takeaway
JNPMEDI is an eClinical solutions provider that enhances the Korean medical infrastructure by offering high-integrity clinical trial solutions and actively collaborating with stakeholders to collect, monitor, and analyze medical data using advanced digital technologies like blockchain and cloud. Their focus on integrating these technologies into clinical research and trial operations positions them as a key player in the healthcare industry's data management landscape.
Reference
Product
CDMS - Clinical Data Management System | Maven Clinical Cloud | JNPMEDI
With Maven CDMS® at its center, Maven Clinical Cloud consists of services essential for the most effective clinical trial operation
Spidercore Inc.
Daejeon, South Korea
A
1-10 Employees
2020
Key takeaway
Spidercore's S.Core AI engine is designed to analyze the physicochemical properties of nucleotides, aiding in the discovery of gene therapies. The company's focus on enhancing decision-making in biomedical care through advanced AI systems highlights the potential for improved accuracy and predictive analysis in clinical applications.
Reference
Core business
Spidercore Inc.
Tenqube
Seoul, South Korea
A
11-50 Employees
2014
Key takeaway
Visual Order offers optimized logistics and inventory management through its proprietary product database, which may involve data mining techniques for effective customer analysis and real-time data labeling.
Reference
Product
Tenqube | Financial Services
Realtime Production-quality labeled data
Narnialabs
South Korea
A
11-50 Employees
2022
Key takeaway
Narnia Labs leverages AI-powered Generative Design technology to enhance product development, emphasizing its capability to solve engineering and design challenges through data-driven solutions. Their approach includes deep learning techniques that facilitate the generation and exploration of innovative designs, directly addressing the need for efficient and cost-effective product design processes.
Reference
Core business
Narnia Labs | AI-powered Product Design
SPH
Seoul, South Korea
A
11-50 Employees
2009
Key takeaway
As a Google Maps Premier Partner, the company offers consulting services tailored to diverse industries and business needs, utilizing advanced technologies like AI, machine learning, and data visualization. They emphasize their expertise in providing insights from big data, making them well-equipped for data mining and analysis.
Reference
Core business
메인 - SPH
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When exploring the data mining industry in South Korea, several key considerations emerge. First, the regulatory environment is crucial, as South Korea has stringent laws regarding data privacy and protection, such as the Personal Information Protection Act (PIPA), which impacts how companies handle data. Understanding these regulations is essential for compliance and operational success. The competitive landscape in South Korea is vibrant, with a mix of established corporations and innovative startups driving advancements in data analytics and artificial intelligence. Companies are increasingly focusing on sectors like finance, healthcare, and retail, where data mining can significantly enhance decision-making and operational efficiency. Opportunities abound, particularly in leveraging big data for insights that can improve customer experiences and operational efficiencies. However, challenges such as data quality, integration issues, and the need for skilled professionals remain significant hurdles. Furthermore, environmental concerns are becoming relevant, as companies must consider the sustainability of their data practices and the potential impact of data centers on energy consumption. Finally, the global market relevance of South Korea's data mining industry cannot be overlooked, as the country aims to position itself as a leader in technology and innovation in the Asia-Pacific region, making it an attractive destination for investment and collaboration in data-driven solutions.
Some interesting numbers and facts about your company results for Data Mining
| Country with most fitting companies | South Korea |
| Amount of fitting manufacturers | 8 |
| Amount of suitable service providers | 4 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2003 |
| Youngest suiting company | 2022 |
Some interesting questions that has been asked about the results you have just received for Data Mining
What are related technologies to Data Mining?
Based on our calculations related technologies to Data Mining are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Data Mining?
Start-Ups who are working in Data Mining are Celcius, Narnialabs
Which industries are mostly working on Data Mining?
The most represented industries which are working in Data Mining are IT, Software and Services, Other, Pharmaceuticals
How does ensun find these Data Mining 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.