Synthetic Data for Data Monetization
Unlocking revenue potential by leveraging synthetic data for privacy-compliant insights
Introduction to data monetization
Synthetic data introduces a transformative solution addressing critical concerns such as data sharing, data privacy, alignment, and data quality. Unlike traditional methods like data anonymization, synthetic data offers a faster and more aligned approach, granting access and sharing the entire dataset. By creating a secure synthetic data marketplace, companies allow to preview the data and drive industry cooperation, giving the foundation for more effective and ethical data monetization strategies. Check the article about the ROI of Synthetic data.
Data monetization challenges
- Assure data correspondence with GDPR, CCPA, and HIPAA regulations
- Implement a robust data marketplace solution with high-security standards
Data quality and integrity
- Data anonymization does not always lead to anonymized data and decreases data quality.
- Ensuring data accuracy and reliability
Data governance
- It is complex to manage data availability, integrity, and usability
- Lack of data ownership due to complex enterprise architecture
Our solution: AI-Generated synthetic data
What makes Syntho's approach unique?
Assess generated synthetic data on accuracy, privacy, and speed
Syntho’s quality assurance report assesses generated synthetic data and demonstrates the accuracy, privacy, and speed of the synthetic data compared to the original data.
Our synthetic data is assessed and approved by the data experts of SAS
Synthetic data generated by Syntho is assessed, validated and approved from an external and objective point of view by the data experts of SAS.
Synthesize time-series data accurately with Syntho
Time series data is a datatype characterized by a sequence of events, observations and/or measurements collected and ordered with date-time intervals, typically representing changes in a variable over time, and is supported by Syntho.
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Synthetic data opportunities
Secure synthetic data marketplace
- Build a synthetic data marketplace that corresponds to high data protection standards
- As AI-generated data is fully artificial, it enhances data privacy
Data catalog with synthetic sample data
- Provide buyers the opportunity to discover data before making a purchase decision
- Comprehensive search and fast access to relevant data
Unlock new revenue streams
- Generate additional income and gain a competitive edge
- Discover new data insight with fast and easy data-sharing
Value
Build your strong data foundation with AI-generated synthetic data
- Enhanced data commercialization infrastructure
- Embracing the newest technology could result in media attention
- Data catalog with sample data for internal and external use
- Unlock new revenue streams
- Accelerate internal processes related to data commercialization
- Controlled and secure access to sample data
Save your synthetic data guide now!
- What is synthetic data?
- Why do organizations use it?
- Value adding synthetic data client cases
- How to start