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How One Global Digital Payment Provider Drove Growth by Improving Fraud Detection, Reducing False Negatives and Strengthening Customer Satisfaction
Technology Category
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - Database Management & Storage
- Infrastructure as a Service (IaaS) - Cloud Storage Services
Applicable Industries
- Finance & Insurance
Applicable Functions
- Business Operation
Use Cases
- Fraud Detection
Services
- Software Design & Engineering Services
- System Integration
The Challenge
Creating a more accurate fraud detection and prevention solution required factoring in unique attributes of the payment provider’s business model. The solution had to consider a myriad of realities, which included the company’s payments, rewards, and purchase protection programs, all of which have different rules and data-processing requirements. Unique profile attributes for 150 million customers, including payment and invoicing preferences, user ID, IP address, devices, location data etc. Mobility and multiple device dynamics that are often entry points for criminals to target mobile and “cross border” transactions. Visibility into payment histories and behavior patterns that help determine the validity of a transaction. Legacy database and infrastructure strategies that are unable to handle the requirements of a contemporary application, including leveraging near real-time data as a critical component of modern fraud algorithms.
About The Customer
The customer is a leading global payment provider that has made fraud detection, intervention, and prevention a top priority. With the rise in digital payment options, the company faces significant challenges from cyber criminals. The cost of online fraud has been growing, and it not only affects payment providers but also merchants, as victims of fraud often avoid certain merchants afterward. The payment provider has a complex business model that includes payments, rewards, and purchase protection programs, each with different rules and data-processing requirements. The company serves 150 million customers with unique profile attributes, including payment and invoicing preferences, user ID, IP address, devices, and location data. The company also deals with mobility and multiple device dynamics, which are often entry points for criminals targeting mobile and cross-border transactions.
The Solution
The payment provider decided to leverage Aerospike, a high-performance NoSQL database, to build a more sophisticated and accurate fraud application. Aerospike is a key-value store built explicitly to run on SSDs, delivering speed at scale. The solution required defining a new set of database requirements to support an application designed to leverage massive data and real-time workloads to score fraud. Aerospike needed to meet a 750 ms SLA to evaluate fraud on every payment transaction, seamlessly and cost-effectively scale up to handle consistent growth in data and objects, improve query performance and data consistency, maintain consistent high availability in a 24x7 digital payments environment, avoid a costly rip-and-replace scenario, and greatly reduce data load times while providing reliable access to fresh data. The solution was built on Aerospike’s high-performance NoSQL database developed explicitly for flash storage to deliver superior speed, horizontal scalability, reliability, and lower TCO.
Operational Impact
Quantitative Benefit
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