Customer Context
A leading Asset & Wealth Management firm faced data privacy regulations restricting the sharing of sensitive financial information. The firm had limited access to robust research and analysis data and needed a solution to enable informed decision-making.
Key Business Challenges
- Data privacy regulations limiting data sharing.
- Limited access to diverse and privacy-safe datasets.
- Restrictions on research, analysis, and algorithm development.
Coforge Solution
- Coforge implemented a Synthetic Data Generation solution using Generative AI (GANs & VAEs models).
- Generated privacy-safe and diverse synthetic datasets, enabling compliance with privacy regulations.
- Empowered extensive research, predictive modeling, and stress testing with data mirroring real-world scenarios.
Outcome
- Reduced data preparation activities by 60% through the use of production-grade synthetic data enabled development teams. The availability of high-quality synthetic data eliminated the need for extensive data gathering and cleaning, allowing teams to focus on building and testing algorithms more efficiently.
- Managers can optimize investment strategies, forecast market trends, and enhance risk assessment with confidence.
- Decision-making capabilities propelled through informed analysis and data-driven insights.
