Customer Stories / Financial Services

2023

Moody’s Builds Modern Data Solutions and Custom In-House Tools to Deliver Time-Sensitive Data to Investors

Divya Elaty, Moody's senior vice president of Cloud Engineering, discusses how the company uses Amazon Web Services (AWS) solutions such as AWS Glue, Amazon DynamoDB, Amazon Simple Storage Service (Amazon S3), and AWS Step Functions to build modern data solutions and custom in-house tools to meet the company's data needs.

By using serverless frameworks on AWS, Moody’s was able to reduce costs. The resiliency aspects of the cloud helped Moody’s decrease downtime for analysts so they can provide time-sensitive information to investors and consumers.

AWS Services Used

AWS Glue

AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development.

Amazon DynamoDB

Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. DynamoDB offers built-in security, continuous backups, automated multi-Region replication, in-memory caching, and data import and export tools.

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Amazon S3

Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance.

AWS Step Functions

AWS Step Functions is a visual workflow service that helps developers use AWS services to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines.

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More Financial Services Customer Stories

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United States

Speeding Up Security Forensics by 97.5% Using AWS Step Functions with OneMain Financial

OneMain Financial used AWS Step Functions and Amazon EC2 to build its own digital forensics solution, OneFor(ensics), saving costs and reducing the time between alert and investigation.

2025
Other

Nomura Uses Llama Models from Meta in Amazon Bedrock to Democratize Generative AI

Learn about Nomura's journey to democratize generative AI firm-wide using Llama models from Meta in Amazon Bedrock.

2024
Malaysia

Deriv Boosts Productivity and Reduces Onboarding Time by 45% with Amazon Q Business

Deriv, one of the world’s largest online brokers, faced challenges accessing vast amounts of data spread across various platforms. It turned to AWS for help and adopted Amazon Q Business, a generative artificial intelligence (AI) tool, to retrieve and process data from multiple sources. By setting up connections to Slack, Google Docs, Google Drive, Web Crawler, and GitHub, Amazon Q Business quickly became integral across departments, including customer support, marketing, content creation, and recruiting. By leveraging Amazon Q Business, Deriv reduced the time spent onboarding new hires by 45 percent, minimized recruiting task times by 50 percent, and dramatically streamlined campaign management for marketing teams.

2024
Chile

Crece Más Drives 45% Sales Growth for Small Businesses with Facele and AWS

Crece Más, a company devoted to helping entrepreneurs thrive, wanted to develop a platform to give small businesses tools to automate operations and grow—but struggled to secure funding. With the help of AWS Partner Facele and Amazon Web Services (AWS) infrastructure, Crece Más secured funding to develop a platform to manage inventory, sales, deliveries, and more. With an impressive new application, Crece Más has grown its customer base by 45 percent in just six months. The platform allows small businesses to scale, increase sales by up to 45 percent, and reduce operational costs by 25 percent, helping them expand into new markets and contribute to regional economic growth.

2025

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