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Top Data Aggregation Companies in South Korea

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6 companies for Data Aggregation in South Korea

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DigiformerSaaSlab (디지포머싸스랩)'s Logo

DigiformerSaaSlab (디지포머싸스랩)

Seoul, South Korea

A

11-50 Employees

2020

Key takeaway

The company, Digiformer SaaSlab, highlights its SaaSlab Marketplace, which may involve data aggregation services.

Reference

Core business

SaaSlab Marketplace

adbrix's Logo

adbrix

Seoul, South Korea

A

251-500 Employees

-

Key takeaway

The company offers advanced performance tracking and user analytics features, allowing users to build their own data platform quickly and make data-driven decisions for marketing actions.

Reference

Product

Build your own data platform in 10 minutes

Experience the most advanced performance tracking and user analytics features.

TG360 Technologies's Logo

TG360 Technologies

Seoul, South Korea

A

11-50 Employees

2017

Key takeaway

TG360 Technologies is a leading data management platform (DMP) company in South Korea that specializes in aggregating various anonymized data. Their platform combines online and offline behavioral data, utilizing advanced big data technologies and ML/AI algorithms to provide businesses with actionable insights for marketing strategies and customer analysis.

Reference

Core business

TG360 Technologies/DMP

TG360 Technologies는 국내 최대 규모 비식별 데이터 기반 Data Management Platform (DMP) 회사입니다.

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엔코아's Logo

엔코아

Seoul, South Korea

A

251-500 Employees

1997

Key takeaway

The company, EnCora, is a data business expert that contributes to customer business innovation through its deep understanding of data and IT environments. They offer a range of data-related services, including data governance, consulting, solutions, and virtualization.

Reference

Product

엔코아 - DATA - AP#

데이터 비즈니스 전문기업, 데이터 거버넌스, 데이터 컨설팅, 데이터 솔루션, DATAWARE, 데이터 가상화, 데이터 레이크, 데이터 포털, 그래프 DB, 그래프 데이터베이스

Factagora's Logo

Factagora

Seoul, South Korea

A

1-10 Employees

-

Key takeaway

Factagora offers tools for building knowledge graphs that enhance the reliability and transparency of AI systems, particularly through its Factblocks product, which automates the verification of document accuracy. Their focus on data aggregation and knowledge de-duplication prepares information for effective use with AI models, streamlining the verification process across various industries.

Reference

Core business

Factblocks by Factagora

The end of manual document verification with Factblocks

Airbloc Protocol's Logo

Airbloc Protocol

Seoul, South Korea

A

11-50 Employees

2017

Key takeaway

Airbloc leverages Klaytn’s blockchain to aggregate and manage personal data usage consent, ensuring data integrity and provenance. Their platform also unifies fragmented customer data, simplifies consent management, and facilitates real-time data exchange while prioritizing privacy.

Reference

Core business

Airbloc | The Privacy-First Data Exchange Platform

Exchange data between companies in a data alliance and gain deeper insights into customer data without sacrificing customer data privacy.


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Use cases around Data Aggregation

A selection of suitable use cases for products or services provided by verified companies according to your search.

UseCase: Market research

Use case

Market research

software, hardware, technology, Automotive, E-Mobility, Corporate Intelligence, Astrology, Music Trends, Vehicle Specifications, Crypto

- Market Research and Competitive Analysis: Businesses can leverage corporate intelligence data provided by APIRobots to conduct thorough market research and understand competitive landscapes. - Companies can make informed business decisions using data related to Fortune 1000 companies available through APIRobots. - Businesses can enhance their customer experience by enriching their existing data with specialized datasets provided by APIRobots.

UseCase: Market research

Use case

Market research

software, hardware, technology, Automotive, E-Mobility, Corporate Intelligence, Astrology, Music Trends, Vehicle Specifications, Crypto

- Market Research and Competitive Analysis: Businesses can leverage corporate intelligence data provided by APIRobots to conduct thorough market research and understand competitive landscapes. - Companies can make informed business decisions using data related to Fortune 1000 companies available through APIRobots. - Businesses can enhance their customer experience by enriching their existing data with specialized datasets provided by APIRobots.

Information about Data Aggregation in South Korea

When exploring the data aggregation industry in South Korea, several key considerations emerge. First, regulatory compliance is crucial, as South Korea has stringent data protection laws, including the Personal Information Protection Act (PIPA), which governs the collection and use of personal data. Understanding these regulations will help navigate legal challenges and avoid potential fines. The competitive landscape is robust, with both established firms and startups vying for market share, fostering innovation but also increasing competition. Opportunities exist in sectors like finance, healthcare, and e-commerce, where data-driven insights can enhance decision-making and operational efficiency. However, challenges such as data quality and integration must be addressed to derive meaningful insights. Environmental concerns are also gaining traction, as companies are increasingly expected to adopt sustainable practices in data storage and processing. Additionally, South Korea's advanced technology infrastructure positions it favorably in the global data aggregation market, enabling firms to leverage cutting-edge technologies like AI and machine learning for data analysis. Understanding these dynamics can provide a comprehensive foundation for anyone interested in entering or investing in this sector.


Insights about the Data Aggregation results above

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

Country with most fitting companiesSouth Korea
Amount of fitting manufacturers4
Amount of suitable service providers3
Average amount of employees11-50
Oldest suiting company1997
Youngest suiting company2020

Frequently asked questions (FAQ) about Data Aggregation Companies

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

Based on our calculations related technologies to Data Aggregation are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

The most represented industries which are working in Data Aggregation are IT, Software and Services, Marketing Services

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Data Aggregation results by various countries

Related categories of Data Aggregation