π¦ Use case 1: Trade Ledger: π€
- 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
π Lending Domain Knowledge:
- Access quality data sources to make informed decisions
- Enable lenders to enhance credit risk profiles (ongoing basis as they lend)
π€― Challenge: Enforcement of Business Rules
- Different products adding layers of complexity
- Manual activities do not comply with regulatory requirements
π Challenge: Transparency
- Data sitting within spreadsheet, doc across financial institution and multiple different departments
π Challenge: Auditability, Traceability
- Frequent data changes across the different data sources
- Keep track of the data changes over time
π₯ Solution: MongoDB Flexible Document Data Model
- Different data types from different data sources with different schemas into a single data source
π€ Use case 2: Crypto Trading π€
- Holistic Picture of All Up-to-Date Data
π€―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- Time-consuming, multiple copies of data, out of date by the time
π€― 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
π₯ 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
π MongoDB Advantage:
- 10,000 to 15,000 trades per second
- Removing complexity
- Separate data into distinct clusters
- Comply with different regional rules (GDPR, APAC)
πReference:
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