Credit risk analytics
Self-service solution for Credit Portfolio Analytics, unlocking aggregation, exploration of the entire dataset, and calculation of complex metrics on the fly (CCR, RWA, Stress Test, Provisioning).
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Problems we solve
Limited drill down capabilities due to lack of historical and granular data, forcing many compromises.
Inefficient and manual certification processes generating high operational risks.
Slow and complex impact analysis on calculated and regulatory metrics (CVA, RWA, IFRS, etc.).
Fragmented and siloed data sets around Market Risk, Counterparty Credit Risk, Risk & Finance.
Expensive infrastructure costs required to keep data history & portfolio granularity.
Lack of versioning, data integrity, and auditability during production.
Self-service solution for credit risk analytics and monitoring
Access all of your data
Get real-time access to 100% of your data, down to any historical trade and facility level details. With Opensee, there is no compromise on the level of history or granularity.
Smart certification
Get automated error detection and raw-level certification. Save more than 50% on the certification process on top of exhaustivity and quality.
Empower business users
Give users the self-service tools they need, like our user-defined functions in Python, including pre-built/custom calculators (EAD, RWA, LTV, EL, etc.).
Evolutive Data Model
Custom and evolutive Data Model features to give accessibility to cross domain data.
Cut infrastructure costs
Reduce your infrastructure costs by up to 90% with our platform that is run on any cloud, on-premise, or hybrid cluster.
Comply with BCBS 239
Report faster and more accurately. Ensure compliance with your regulatory and internal compliance requirements.
Powerful tools to model, ingest, adjust, and explain your data in real-time with full autonomy.
Data Model Service
Build a flexible data model that you can modify, adjust, and audit - on the fly, through low-code API.
Transactional Data Service
Fail-safe ingestion of data into data model with collaborative versioning and adjustments.
Data Quality Service
Ensure the consistency and accuracy of your data with our embedded AI Data Quality and Data Exploration tools.
Aggregation Service
Aggregate and slice & dice all data across any dimension. Create your own user-defined functions in Python.
Data Access
Access your data using our low-code REST API or Python SDK.
Data Visualization
Access interactive and and dynamic desktop and web UIs and/or connect to your own dashboards.
"This is a game changer for the bank in terms of improving the speed, efficiency and governance of risk management for Crédit Agricole CIB’s market activities."
