In-Memory Analytics - What-If Scenarios

Decision making depends on data – and in many cases, large volumes of data. With ActivePivot's in-memory analytics engine, you can perform instant simulations and 'What-If' analysis on huge data sets to evaluate alternative scenarios, make projections, and reach informed business decisions.

How 'What-If' Scenarios Work

'What-If' scenario is performed by modifying data within the analysis cube. Each user can independently perform simulations and run queries with full privacy and with no impact on other users. For instance, a risk manager can modify company ratings to evaluate how changes may impact the costs of counterparty credit risk. See the credit value adjustment (CVA) demo for a live example of how ActivePivot’s in-memory analytics engine performs real-time CVA aggregation.

Data can also be added or removed from the OLAP cube. For example, in the context of collateral management, you can input new trades and ratings, simulate stress tests and evaluate other scenarios. Read the Collateral Management case study for details. 'What-If' analysis is not constrained by data volume or response time. You can drill-down, add or modify large amounts of data, and all data manipulations are carried out on the server, with instant response to queries.

'What-If' Scenario Key Benefits

• Run relevant simulations by modifying, removing, or adding data
  
• No impact on other users, who do not see the simulation impacts
  
• Convenient simulations with instant response time, regardless of data volumes
  

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