Use Cases
Repo & Collateral Management
With Opensee, analyse and manage client and inventory collateral requirements in real-time and optimise allocation with direct leverage impact calculation.
Self-service analytics for financial institutions
Flip the cards and see how we address these common pain points
Fragmented data sets
(liquidity, securities inventories, counterparts…)
Single data environment
with inventories, repositories, haircuts… without size limit
Limited granular & real-time collateral inventory
(at bank and client level)
Access to all data
at the most granular level and under multiple axes
No real-time calculation
to manage efficiently IM/VM, Leverage Ratio per counterpart and globally
Integrated Python UDF
to get comprehensive information (counterparty, haircut simulations, leverage…)
Limited granular history
despite valuable insight for ‘special’ collateral
Horizontal scalability
using commodity hardware on-premise and/or on Cloud
Limited capacity
to enhance internal metrics (balance sheet, liquidity usage, LCR, stress test)
Business-user empowerment
Abstraction Model layer, intuitive UI, Python UDF, connector to traditional BIs…
Collateral requirements anticipations
Real-time aggregation and drilling in any axis
More granular understanding
of repo and collateral usages for internal and external clients
On the fly and more proactive
allocation of collateral with direct leverage impact calculation
Better market intelligence
for ‘special’ collateral
User autonomy
to analyse positions among different axes (client, ISIN, region…)
Better management of collateral,
capital and liquidity ratios especially Leverage Ratio
Reduce infrastructure costs
with scalable and real-time platform
Open and see our other use cases
We have solutions for you
Contact us and find out how we can help with your big data challenges.
Click here to ask for a demo.
