Discover the benefits of using synthetic data in finance
of financial institutions afraid of losing competition without leveraging Big Data
is the average cost of a data breach in 2024, the highest on record
Improvement of utilization of resources is estimated due to a data ecosystem
is unable to use more than 40% of their data
Data takes a crucial role in the finance industry, driving informed decision-making, risk management, customer insights, and regulatory compliance, while enabling innovation and efficiency through data-driven strategies and solutions. Synthetic data usage offers financial organizations a privacy-preserving solution to enhance risk assessment, fraud detection, algorithm training and software development.
By creating realistic yet synthetic datasets, financial institutions can optimize decision-making, improve regulatory compliance, and develop innovative strategies without compromising sensitive customer information.
Solutions that allow financial organizations to utilize data smarter will enhance the competitive position.
Synthetic data accelerates access to data by minimizing risk assessments, internal processes and bureaucracy related to data access requests.
The ambition to innovate with data is significant in the financial sector. Synthetic data will accelerate the realization of this ambition.
Ensures compliance with data privacy regulations by minimizing the use of real personal data, without hindering developers due to synthetic data.
We are proud to announce that Syntho won in the healthcare and life sciences category after months of hard work on unlocking privacy-sensitive healthcare data with synthetic data as part of cancer research for a leading hospital.
Explore real-world success stories from our clients.
Synthetic data for the National Statistical Office, Statistics Netherlands (CBS)
Empower CBS’s statistical excellence with secure synthetic data solutions and learn how they are shaping the future of statistical
Synthetic test and development data with a leading EMR and healthcare solutions
Case Study About the client The company specializes in developing and supporting a proprietary electronic medical record (EMR) software
Synthetic data for academic research at the Erasmus University
Revolutionize academic research at Erasmus University with synthetic data. Explore its power by reading our case study.
Synthetic data for the The Netherlands Chamber of Commerce (KVK)
Discover how synthetic data for a Dutch governmental organization enables fast, secure, and actionable initiatives.
Synthetic data for advanced analytics and testing with a leading international bank
Unlock the potential of synthetic data for AI/ML modeling, advanced analytics, and testing with a renowned International Dutch Bank.
Synthetic test and development data with a leading Dutch insurance company
Explore the innovative world of synthetic test and development data in collaboration with a prominent Dutch insurance company.
Synthetic data for software development and testing with a leading Dutch Bank
Check out how synthetic data for software development and testing can help solving privacy issues of a leading Dutch Bank.
Synthetic patient EHR data for advanced analytics with Erasmus MC
The company specializes in developing and supporting a proprietary electronic medical record (EMR) software application widely recognized
Synthetic data generation for data sharing with Lifelines
Are you curious how realistic are synthetic biobank data generation for data sharing? Learn more about it from our case study with a
Synthetic healthcare data for a leading US hospital
Are you curious how works synthetic healthcare data with a leading US hospital? Learn more about it from our case study
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Extensive project involvement with international banks, insurance companies, and fintech organizations
The platform supports time series data (typically relevant for transaction data, market data, investment data, event data etc.)
Syntho supports upsampling, that allows users to generate more data in case of limited data, typically used in the field of fraud detection and anti-money-laundering
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