Use Case
Referential Data Management
Eliminate manual errors and incomplete records with automated enrichment and centralized static data management.
Description
Managing static investment data is complex because raw data is often incomplete and requires enrichment from multiple providers. Manual processes introduce risk and inefficiency, while the lack of a centralized, trusted source of truth leads to downstream errors.
At scale, maintaining accurate referential data demands automation, seamless vendor integration, and robust exception handling.
Key Features
- Automated onboarding and ingestion of investment products from any file format.
- Predefined templates with flexible configuration for investment products and related data.
- Seamless integration with data vendors and AI models to harmonize, enrich, and consolidate data.
- Built-in human validation, audit trail, and automated notifications to ensure accuracy and control.
Data Objects
- Investment Product
- Sector
- Industry
- Country & Region
- Exchange
- Issuer
- Corporate Action
Workflows
- New securities handling
- Update Securities' fields
- Corporate Actions handling
“Asset managers must adapt quickly to meet investors' expectations and having a reliable partner like Next Gate Tech is essential for this transition.”
BJ
Benoît Joseph
Chief Risk Officer, Trustmoore
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