Simulation of financial services
Pressure on bank secrecy and the strengthening of the legislation on the Swiss banks let suppose that in the future, customers will become more demanding. The challenge will thus be to supply quality performances to more volatile clients than before, at prices which will be acceptable for them. The effects of the economical crisis and those of the attacks against the bank secrecy will only be measurable in some years, but in the meantime, Swiss banks will have to find solutions to stay competitive.
Our approach is meaningful. In fact, one measure allowing to increase the reactivity and profitability of a bank is basically process optimization.
The following paragraph from the Compendium 2010: Swiss banking sector, published by the Swiss Bankers Association, describes the challenges of bank processes:
The retail banking market in Switzerland is saturated, highly competitive and characterised by low growth. Higher earnings can be obtained almost exclusively by increasing the sales volume or by reducing costs. Therefore, efforts have to be made to streamline processes and enhance operational efficiency in order to further increase profitability.
Simulation is a dynamic analysis which consists of the modelling of a financial process on a computer in order to estimate and improve its performances and profitability.
Example of modelling and simulation of a financial service process
More concretely, our approach allows to:
- Detect and reduce bottlenecks;
- Reduce waiting lines;
- Decrease waiting times (average and maximum);
- Decrease lead time;
- Optimize resources utilization and allocation;
- Optimize process flows.
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