🏦 Use case 1: Trade Ledger: 🤑

• Data-Driven Lending
• Streamline customers' online credit application process
• Ability to lend to any growth business
• Make business faster, easier, more profitable
• Loans can be approved within an hour

🔍 Lending Domain Knowledge:

• Access quality data sources to make informed decisions
• Enable lenders to enhance credit risk profiles (ongoing basis as they lend)

🤯 Challenge: Enforcement of Business Rules

• Different products adding layers of complexity
• Manual activities do not comply with regulatory requirements

🔍 Challenge: Transparency

• Data sitting within spreadsheet, doc across financial institution and multiple different departments

🔍 Challenge: Auditability, Traceability

• Frequent data changes across the different data sources
• Keep track of the data changes over time

🔥 Solution: MongoDB Flexible Document Data Model

• Different data types from different data sources with different schemas into a single data source

🤑 Use case 2: Crypto Trading 🤑

• Holistic Picture of All Up-to-Date Data

🤯Kibana: (not good)

• Sync all their different data sources into ElasticSearch, just for reporting
• Time-consuming, multiple copies of data, out of date by the time

🤯 Challenge:

• Different sets of data from different projects
• Different privacy and security requirements based on each country or region
• Extra security capabilities, built-in compliance

🔥 Solution: MongoDB Atlas Charts

• Visual representations
• Built-in tools
• Real-time
• Analytics capabilities and Business Intelligence
• Perform custom queries and create custom data visualizations
• Daily executive dashboards: Timely decisions
• Insight key customer stats, deal volume, user numbers

🚀 MongoDB Advantage:

• 10,000 to 15,000 trades per second
• Removing complexity
• Separate data into distinct clusters
• Comply with different regional rules (GDPR, APAC)

🔍Reference:

https://www.mongodb.com/solutions/customer-case-studies/seracle
Seracle builds the future of crypto trading with MongoDB's Developer Data Platform

https://www.mongodb.com/solutions/customer-case-studies/trade-ledger
Trade Ledger Pioneers Data-Driven Lending across the Financial Services Industry Using MongoDB Atlas on AWS

Editor

Danny Chan, specialty of FSI and Serverless

Kenny Chan, specialty of FSI and Machine Learning