Rapid PoC Evaluation of Vendors and Start-ups
公司规模
1,000+
地区
- America
国家
- United States
产品
- Rapid PoC Sandbox
技术栈
- Synthetic Data Generation
- Privacy Compliance Tools
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 预测分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 金融与保险
适用功能
- 商业运营
- 质量保证
用例
- 质量预测分析
- 监管合规监控
服务
- 数据科学服务
- 系统集成
- 培训
关于客户
The customer is a Fortune 100 bank that operates on a global scale, providing a wide range of financial services including retail banking, investment banking, and asset management. The bank is known for its innovation in financial technology and has a strong focus on maintaining data privacy and security. With a large number of vendors and start-ups to evaluate annually, the bank faces significant challenges in managing data sharing and compliance. The bank's operations are highly regulated, requiring stringent measures to ensure data privacy and security. The bank's commitment to innovation and efficiency drives its need for a streamlined process for evaluating new technologies and vendors.
挑战
A Fortune 100 bank needs to evaluate 1,000+ vendors and start-ups annually. In 80% of these evaluations, the process involves handing over sensitive datasets to external organizations. This step takes 3.5 months per PoC since the data needs to be manually selected, sanitized, anonymized, and individually approved in each specific case. Due to this labor-intensive procedure $25,000 of internal costs are generated per PoC, resulting in $25 million of annual costs for external data sharing.
解决方案
Instead of giving direct access to production data or anonymized data lacking statistical utility to third-party fintech vendors, the bank created a Rapid PoC Sandbox where the most commonly requested data assets were proactively converted to synthetic versions. Using this newly created sandbox, vendors can now test their solutions in a controlled, privacy-safe environment. The privacy-compliant synthetic data generated by the bank provides statistically identical results to those derived from production environments and is in-line with all internal and external regulations. This approach not only ensures data privacy but also significantly reduces the time and cost associated with the PoC process. The sandbox environment allows for standardized checks and onboarding procedures, further streamlining the evaluation process.
运营影响
数量效益
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