Slash Record Access Times from Months to Hours
公司规模
1,000+
地区
- Europe
产品
- Synthesized
技术栈
- AI-powered DataOps platform
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 机器学习
- 应用基础设施与中间件 - 数据交换与集成
- 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
服务
- 数据科学服务
- 系统集成
关于客户
The customer is a leading European retail bank that deals with millions of customer records. The bank's team of digital data experts was looking for a high-tech solution to reduce record access time, facilitate collaboration on data projects, and generate safe, high-quality test data for external sharing. The bank needed to determine the probability of certain customer behaviors and identify high propensity purchasers. With a large volume of data and the need for stringent privacy protection, the bank sought a solution that could streamline their data processes and enhance their data-driven decision-making capabilities.
挑战
The major challenges faced by the retail bank included the need to protect sensitive personal information (PII) and the long, cumbersome compliance process. Traditional masking and anonymization techniques were insufficient to protect PII, and preparing and obtaining clearance to use the data would have taken several months, even for an experienced internal team. The bank needed an automated solution to access records quickly and efficiently, allowing their talented team members to focus on more critical tasks.
解决方案
The bank implemented the Synthesized data platform, an AI-powered DataOps platform designed to automate all stages of data provisioning and curation. This platform enabled the bank to handle high volumes of complex data, including more than 4 million data rows and 500 columns with a mixture of categorical, numeric, and binary variables. The Synthesized platform provided access to high-quality datasets for project development within hours, significantly reducing the time to market. The platform also ensured faster approval processes with zero risk to customer privacy, thanks to its privacy-by-design approach, which ensured that no original data points appeared in the synthesized data. Additionally, the platform allowed for the development of high-performing models trained using synthesized data, which in some cases performed even better than those trained on the original data. The always-on project management feature connected all data sources and provided easy access to data projects, further enhancing the bank's data-driven innovation and effectiveness.
运营影响
数量效益
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