GAIN Data Portal provides a central data repository of market and reference data that can be directly accessed by spreadsheets, or by any application from any place in the organization.
Keeping vendor data costs and usage under control
All capital market participants depend on reference and market data to fuel their investment operations. When the vendors supplying this data apply changes to their licensing agreements, the impact of these changes can be significant. From increasing costs, compliance risks, or even the risk that the data tap gets turned off – the potential impact of doing nothing can be very real.
To ensure compliance with licensing permissions and to optimize market data spend, firms must have a centralized view of their vendor data consumption and usage across all business units.
GAIN Data Portal: Full Control over Data Sourcing and Usage
GAIN Data Portal is a software application dedicated to the efficient and compliant sourcing of market and reference data from popular data providers.
This award-winning application executes pre-defined data feed requests, stores the requested data in a central repository, and then makes that data accessible to the systems and users that need it.
By centralizing all data requests from one or multiple data feeds, GAIN Data Portal enables business users and applications to access data that has already been requested in a compliant way, and without incurring additional costs.
Firms using GAIN Data Portal have complete transparency into their data costs and usage at an account, business unit, and organizational level. Furthermore, cost savings are delivered immediately thanks to sourcing optimization.
Benefits of GAIN Data Portal include:
- Central control over vendor data requests and usage
- Fully maintained adaptors to leading data providers
- Business users can easily access the data they need
- Potential for immediate cost savings thanks to sourcing optimization
- Intuitive reports and analytics
- Sets the foundation for a best-practice approach to data management that addresses data quality, data lineage and data governance