Your team is in charge of risk modeling. You require high performance computing as you access large datasets of financial data to compute risk metrics
You know pre-aggregated calculations on bucketed data will not get you the most accurate analysis. You need real-time processing and real-time aggregation, including non-linear aggregations
Your users need to assess the potential impact of changes. You want to provide self-service access to risk engines and the ability for users to simulate “what-if” scenarios
You know the dangers of users creating their own systems for their calculations. “Shadow IT” is an unsupportable mess for the business that erodes confidence in decisions
Model a new scenario with a built in “what if” capability
Assess the impact of an asset class changing
See the effect of a single trade on your PnL
Include intraday data from 1000s of sources updated every second in your PnL calculation
Your users struggled to get accurate information reflecting the most current values
Your users benefit from continuous calculations from real-time processing
Your users lacked the ability to run models and simulations
Your users can run “what if” simulations without assistance from the technology team
Your business suffered from Shadow IT and hard to support calculation engines
Your business benefits from a centralized source of truth that promotes collaboration