Snowdrop: Enriching transactional data at scale to foster global financial transparency and trust
公司规模
Mid-size Company
地区
- Europe
- Asia
国家
- United Kingdom
- Singapore
- Spain
产品
- Google Maps Platform
- BigQuery
- Vertex AI
- Google Kubernetes Engine
- AlloyDB
技术栈
- Google Cloud
- Cloud Storage
- Cloud Service Mesh
- AutoML
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
技术
- 分析与建模 - 预测分析
- 平台即服务 (PaaS) - 数据管理平台
- 基础设施即服务 (IaaS) - 云存储服务
适用功能
- 商业运营
- 质量保证
服务
- 云规划/设计/实施服务
- 数据科学服务
- 系统集成
关于客户
Snowdrop Solutions Ltd. is a leading provider of advanced transaction enrichment solutions across EMEA and Asia Pacific. The company specializes in helping banks and payment providers transform complex transaction data into clear, actionable insights, enhancing customer experience and improving data quality across billions of transactions. As a Google Cloud Partner with a focus on Google Maps Platform since 2013, Snowdrop has been at the forefront of leveraging geospatial information for data enrichment. The company is committed to fostering transparency and trust between financial institutions and their customers, enabling a smooth digital banking experience. Through partnerships with industry leaders, Snowdrop delivers innovative location-enriched solutions that shape the future of digital banking. With a presence in the United Kingdom, Spain, and Singapore, Snowdrop is well-positioned to serve a global clientele.
挑战
Snowdrop Solutions Ltd. faced the challenge of untangling complex transactional data for financial institutions. The transactional data often appeared confusing to end-users due to the involvement of various point-of-sale servers, middleware, payment processors, and banks. Additionally, merchants often had trade names that differed from how customers identified them, leading to data that was difficult to understand. Snowdrop aimed to solve this customer experience challenge by enriching transactional data with information that clarified for end-users who they had transacted with. The company needed to incorporate more merchants into its system and improve the accuracy of transaction information for specific clients and their end customers. Furthermore, Snowdrop sought to achieve greater platform performance, stability, and seamless global expansion.
解决方案
To address the challenges, Snowdrop Solutions Ltd. adopted Google Maps Platform to support its merchant reconciliation technology. The company chose the Places API to incorporate more merchants into its system, pulling up localized merchant information and coupling it with details manually scraped from their websites. This approach unlocked more accurate transaction information for specific clients and their end customers. Snowdrop then embarked on a full migration to Google Cloud to achieve greater platform performance, stability, and seamless global expansion. By using Cloud Storage to house unstructured data and deploying BigQuery in new regions, Snowdrop was able to scale its operations to accommodate large volumes of transactions. Integrating BigQuery with Vertex AI automated aspects of the manual background research required for merchant reconciliation. Additionally, Cloud Service Mesh reduced the operational burden of deploying the MRS API across regions and servers, ensuring faster deployment in new markets. Google Kubernetes Engine provided an automated way to manage workloads and ensure cost-efficiency by scaling resources as needed. Snowdrop also leveraged the native AI capabilities of Google Cloud infrastructure to increase the number of merchants its system could recognize, using Vertex AI to train the system for better accuracy.
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
