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Finance
Financial markets have suffered a tremendous change in the last decade. The continuous emergence of new complex financial products, the growth in the business activity in this area, and the increased regulatory scrutiny have forced financial institutions to face new challenges. In this new market scenario, there is an enormous increase in the volume of the complex trades with its corresponding increase in data volume and its associated processes, and there is an equivalent increase in the amount of people involved in these more complex activities. In order to profit and enlarge the business opportunity arising from this new situation, financial institutions are forced to re-think their operational structure. Also as a consequence of this market and to prevent failures in the financial system, regulators are imposing new conditions to financial institutions. These new regulations entail business challenges in the areas of capital reservation, operational costs, and improvements on the monitoring and reporting of business activities.
The new environment requires that financial institutions support new complex computational processes, integrate and analyze larger amounts of data (without any loss in the level of service), and warrant an efficient cost model, an optimal leverage of all IT-investments, and the capacity to react instantaneously to market changes.
  Example: Santander Central Hispano    
  Santander Central Hispano bank (SCH) adopted GridSystems technology to create a robust and reliable corporate IT infrastructure for risk analysis. They are using an internally developed application to perform the analysis.  
  SCH runs Monte Carlo simulations to give a statistical valuation and Value at Risk to their portfolios. Together with our partners IBM and Indizen, GridSystems designed a solution that connected the bank's risk application to the corporate Grid platform. The pilot was up and running in two days, and it has been in production for the last two years. The use of Grid technology brought about a considerable reduction in computational time, it removed dead time between database requests, and it created a very flexible and scalable solution with a very efficient cost model for future growth and improvements. In addition to the functionalities of GridSystems technology, the bank found the easiness of implementation and administration to be an important added asset.