Data Clean Room
A new tool for secure data sharing
About LnData Data Clean Room
Unlock the value of data while taking into account privacy and security
In the era of digital economy, data has become one of the most important assets of enterprises. However, how to safely share and analyze data with partners while ensuring data security and privacy has become a major challenge for enterprises.
LnData Lin Data Technology launches the "Data Clean Room" solution, which allows enterprises to conduct cross-department or cross-enterprise data collaboration in a safe and controllable environment to explore the value of data while taking into account data security and privacy.
Highlights of Solution
Why you need LnData data clean room
Data Remains On-premises
After the data is transmitted to the clean room environment in encrypted form for calculation, both parties can view the data analysis results and advertising delivery and other applications. All original data and ownership are not transferred during the process.
Data Encryption
By utilizing methods such as homomorphic encryption and differential privacy, the data is ensured to remain undecipherable and cannot be traced back to any individual during the exchange process.
Cross-Organizational Data Insights
Allow traders to compare their consumer data with data from other organizations in compliance with privacy regulations, greatly enhancing the potential applications and value of the data.
Exclusive Patent Certification
Taiwan
Patent number: TW202416689A
United States
Patent number: US20240113876A1
LnData data clean room application scenario
Consumer privacy is the most important issue in the future. The data clean room aims to help brands obtain accurate advertising data while achieving de-identification and decentralization to maintain consumers' trust in the brand. Therefore, in the data market, through the data protocol of the data clean room, anyone can exchange or trade data with peace of mind.
Joint Analysis and Marketing
Brands and advertising platforms can work together to analyze consumer data, improve the accuracy and effectiveness of advertising, and evaluate the effectiveness of advertising campaigns.
Cross-department data collaboration
Different departments within the enterprise can securely share and analyze data. For example, the marketing department and product department can collaborate to analyze customer data to improve product development and marketing efficiency.
Data Monetization
Data owners can securely monetize the data. For example, media platforms can securely provide audience data to advertisers to create new revenue sources.
Build an enterprise data middle platform, realize data value, and empower enterprise growth
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