Use Cases
Risk in Capital Markets
Opensee allows you to explore the full depth of data in real time, build user-defined functions in order to manage risk more efficiently and proactively.
Flip the cards and see how we address these common pain points
Limited access to Granularity & History
for Sensitivities, VaR...
Access to all data
No compromise between history and granularity
High IT involvement
Constant requests for simple tasks
Business-user empowerment
Intuitive UI, connector to traditional BIs, low code API, user-defined functions in Python
Siloed data sets
Between Market & Credit Risk, between Front Office & Risk & Finance
Single data environment
No size limits and a flexible data model enabling: a single source of truth, completeness, and cross dataset queries
Slow and complex implementation
of new regulatory calculations, metrics like FRTB (SA/IMA)
Integrated post-processing
Python-based user-defined functions and pre-built templates
Very high infrastructure costs
for in-memory solutions
On-disk technology
Achieve horizontal scalability using commodity hardware
Manual certification process:
inefficient and high operational risk
Smart certification
Automated error detection and raw-level certification
Key benefits Opensee delivers
100%
Full trade data access
Faster
Regulatory response with targeted analytics
90%
Infrastructure cost savings vs. in-memory solutions
Fast
Go-to-Markets on key projects (eg FRTB DRC & ES...)
50%
Savings on the entire certification process
Better
Management of capital charges
Ask our experts
Contact us and find out how we can help with your big data challenges. Click here to ask for a demo.
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