Overview
To meet the requirements of the most demanding users and clients, NeoXam DataHub is organized into Data Domains, each covering a predefined set of data. Each Data Domain contains its own specific connectors, data model, business rules and user interfaces. The Data Domains are designed to work together and can even share data.
Data Domains included in MDS
Market Data
Our market data module is designed to cover all asset classes (Interest Rates, Fixed Income, Currencies, Commodities, Equities, Credit,…) and all data types including derived data such as yield curves, volatility surfaces and correlation matrices.
Historical Data
Our historical data module is designed to cover time series for all market data types, including derivations on time series such as backfilling and proxying.
Risk Data
Risk factors, risk buckets, risk classes, risk factor mappings of classes and buckets, sensitivity shifts, historical scenarios, Monte-Carlo scenarios, stress scenarios can all be modelled, derived and stored in our risk data module.
Key Benefits
Plug ’n’ Play
Built on NeoXam’s expertise, DataHub includes a set of pre-configured Data Domains designed to reduce implementation time, allowing you to focus on what you do best.
100% Flexible
All templates, business rules and screens are fully adaptable to fit your needs. Increase efficiency by reusing templates or enjoy the freedom of starting from a blank page.
Low-code
Whatever your specific needs, you can graphically design connectors, data models and create business rules directly within the NeoXam DataHub thanks to its dedicated functionalities.
Solution coverage
