Slash Record Access Times from Months to Hours
Customer Company Size
Large Corporate
Region
- Europe
Product
- Synthesized
Tech Stack
- AI-powered DataOps platform
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
- Analytics & Modeling - Machine Learning
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Finance & Insurance
Applicable Functions
- Business Operation
- Quality Assurance
Services
- Data Science Services
- System Integration
About The Customer
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.
The Challenge
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.
The Solution
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.
Operational Impact
Quantitative Benefit
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