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Google > Case Studies > Snowdrop: Enriching transactional data at scale to foster global financial transparency and trust

Snowdrop: Enriching transactional data at scale to foster global financial transparency and trust

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Customer Company Size
Mid-size Company
Region
  • Europe
  • Asia
Country
  • United Kingdom
  • Singapore
  • Spain
Product
  • Google Maps Platform
  • BigQuery
  • Vertex AI
  • Google Kubernetes Engine
  • AlloyDB
Tech Stack
  • Google Cloud
  • Cloud Storage
  • Cloud Service Mesh
  • AutoML
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Productivity Improvements
  • Customer Satisfaction
  • Digital Expertise
Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Platform as a Service (PaaS) - Data Management Platforms
  • Infrastructure as a Service (IaaS) - Cloud Storage Services
Applicable Functions
  • Business Operation
  • Quality Assurance
Services
  • Cloud Planning, Design & Implementation Services
  • Data Science Services
  • System Integration
About The Customer
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.
The Challenge
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.
The Solution
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.
Operational Impact
  • Snowdrop's advanced Merchant Reconciliation System (MRS) API, powered by Google Cloud, fosters transparency and trust between financial institutions and their customers, enabling a smooth digital banking experience.
  • The company has continually scaled since migration, processing an average of 1.47 billion transactions a day, up from 20 million previously.
  • Snowdrop's recent launch in the Google Cloud Marketplace is attracting attention from more potential clients.
  • The use of Google Kubernetes Engine ensures cost-efficiency by scaling resources up and down as needed, impressing clients with the speed and accuracy of results.
  • As a member of the Google Cloud Partner Advantage Training Program, Snowdrop ensures that its employees flourish along with the company, achieving business certifications and evolving their careers with direct support from the Google Cloud team.
Quantitative Benefit
  • 6x faster go-to-market with AI-assisted automation and seamless global scalability.
  • 40% improvement in data accuracy by using Google Places for hyper-localized information.
  • 1.47 billion transactions processed daily with cost-effective, self-managed infrastructure scalability.
  • 100,500x more merchants in Snowdrop’s system, resulting in more information and accuracy.
  • Up to 15% increase in merchant-to-transaction match rate.

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