Live Liquidity Intelligence for a Global Systemically Important Bank

Opensee empowered this global systemically important bank to modernize liquidity risk management with real-time analytics, unified data, and instant, flexible reporting for Treasury and CFO teams.

Impact for Finance Technology

  • 65+ TB of liquidity data under active management
  • Hundreds of daily data adjustments, with peaks of up to 1 billion rows ingested in a single day‍
  • Hundreds of business dimensions enabling deep explainability and drill-down

Impact for Liquidity Managers

  • Accelerate publication of financial results
  • Instantly aggregate and access key liquidity metrics for enhanced transparency and certification
  • Gain comprehensive control and visibility across all liquidity data
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Type
Sell-side
Use cases
Liquidity risk
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Challenge

A Global Systemically Important Bank (GSIB) needed to modernize its liquidity risk infrastructure. Fragmented data flows and overnight processing created blind spots for Treasury and CFO teams, especially in high-pressure scenarios like stress testing, resolution planning, and regulatory reporting.

Solution - Opensee as the Live Liquidity Analytics Layer

Opensee was deployed as a semantic-first, AI-ready analytics layer for liquidity data. It enables the Finance Teams to move from siloed processing to a unified environment, where ingestion, modeling, aggregation, and simulation happen continuously and on demand.

  • Exploring Liquidity Positions Across Scenarios: One of the main liquidity dataset contains tens of billions of rows across business-as-usual and contingency scenarios. With hundreds of dimensions, including funding source, maturity bucket, scenario type, and entity, users can instantly drill into granular levels with full flexibility and performance.
  • On-Demand Reporting and Stress Simulations: Opensee transforms liquidity reporting with real-time dashboards, empowering treasury teams to launch reports instantly across any time horizon - eliminating the limitations of restricted reporting dates. Treasury can simulate changes, recalculate regulatory ratios, and explain every result - all with traceability and performance built in. 
  • Monitoring Bail-In Risk Exposure: To meet recovery and resolution requirements, Treasury teams must monitor exposures under bail-in scenarios where creditors may absorb losses. With Opensee, teams can now explore these exposures dynamically across regulatory perimeter and metric type, no longer relying on static reporting.

Built for CFO-Grade Performance and Control

Opensee delivers high-speed ingestion and sub-second querying without requiring in-memory preprocessing or external pipelines. By keeping computing close to certified data and controlling the semantic layer, Opensee ensures reliable performance and traceable results at any scale.

Strategic Outcomes

  • Accelerate the schedule of financial results publication
  • Instant aggregation of key metrics like LCR, NSFR, etc. to support explainability and financial results certification
  • Visibility across a volatile, high-volume liquidity environment
  • Ensure end-to-end data control from ingestion to AI-ready consumption

Bottom Line

Opensee empowers this global bank to treat liquidity data as a critical asset, making CFO and Treasury teams faster, more transparent, and more responsive to change.

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