Grid-1 Case Studies






remove dead time between database requests and created a fexilble, scalable solution


Grid Systems technology has been used to create robust and reliable corporate IT infrastructure projects for risk analysis and many other time critical applications.

High Performance Sectors

Batch Processing i.e. Billing

Grid processing dramtically reduces the time taken to comple long batch processes. Examples of this environment could be a billing / invoicing run ...

Data Processing / Network Management i.e. Telecoms

One of the most data intensive telecommunications processes is to analyse the use of its network services. Business activity relies on this information ...

High Speed Processing i.e. Financial and Petrochemical

Grid Systems technology has been used to create robust and reliable corporate IT infrastructure for fast and accurate risk analysis of large continually changing amounts of data ...

Mathematical Complex Data Modelling i.e. Pharmaceutical and Chemical Applications

Grid Systems has extensive experience of implementing Grid technology in the pharmaceutical, bio-informatics and chemical sectors ...

High Speed Processing

Corporate IT infrastructure for risk analysis

Financial markets have suffered a tremendous change in the last decade. The continuous emergence of new complex financial products, the growth in business activity and the increased regulatory scrutiny, have forced financial institutions to face new challenges. As a result there is an enormous volume increase in complex trades with a corresponding increase in data volume, its associated processes and in the number of people involved.

To profit and enlarge business opportunities, financial institutions are forced to re-think their operational structure. Also to prevent financial system failures, regulators are imposing new conditions to financial institutions producing challenges in capital reservation, operational costs and improvements in monitoring and reporting of business activities.

This new environment requires financial institutions to support new complex computational processes, integrate and analyse larger amounts of data, without any loss in the level of service, while demanding an efficient cost model, optimal leverage of all IT-investments and the capacity to react instantaneously to market changes.

The use of Grid technology has brought about a considerable reduction in computational time, removed dead time between database requests, and created a flexible and scalable solution with an efficient cost model for future growth and improvement.

More information can be found at Grid Systems Case Studies