Customer Stories / Financial Services
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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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Americas
Altruist Empowers Financial Advisors with Innovation and Trust at Scale
Using AWS, Altruist maintains system stability and security alongside efficiency-driving tools that financial advisors depend on to deliver better outcomes to more clients at lower costs. -
United States
Affirm Reduces Manual Security Response Efforts by 50% with AWS Partner Expel
Affirm is a payment network that empowers consumers and helps merchants drive growth through flexible and transparent financing options. The company wanted to streamline its security operations program to address manual triage, decentralized tooling, and increasing alert fatigue. AWS Partner Expel offered a managed detection and response (MDR) service that integrated seamlessly with Affirm’s Amazon Web Services (AWS) environment. Expel MDRTM centralizes monitoring, automates routine tasks, and enhances detection and response workflows Expel reduced the volume of security alerts fielded by engineers by 50 percent and helped Affirm scale the foundations of its security operations program efficiently.
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United States
MarketReader Launches Its Real-Time Market Analysis Platform and AI Newsletter in Eight Months Using Nasdaq® and AWS
MarketReader is an artificial intelligence (AI) analytics platform providing the financial sector with data-driven explanations of real-time asset movement. During development, MarketReader experienced delays in data delivery and received incomplete datasets from its initial data provider—which reduced the quality of the platform’s insights. To launch its differentiated product, the MarketReader team moved to cloud-based data solutions from AWS Partner Nasdaq, hosted on Amazon Web Services (AWS), to obtain direct access to high-quality, real-time market data for all US-listed securities. This approach elevated MarketReader’s US market coverage, increased data delivery time by 98 percent, and helped the platform go live within eight months. MarketReader now delivers timely, accurate insights. It publishes a daily newsletter in only seven minutes, driving customer engagement and expanding the newsletter’s reach up to 400 percent beyond MarketReader’s current client base.
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United States
Reducing Costs by 90% and Improving Scalability Using Amazon DynamoDB with Venmo
Learn how Venmo in the financial services industry modernized its architecture with a purpose-built scaling solution using Amazon DynamoDB.
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