Temenos DataSource: an Enterprise Data Management solution that reduces costs and risks

Geneva - 22 May 2013

Best-in-class solution with unique versatility and flexibility to adapt to fast changing regulations

Temenos (SIX: TEMN), the market leading provider of mission critical solutions to the financial services industry, is today showcasing Temenos DataSource at FIMA Market Data 2013.

DataSource, formerly known as ProDB, is an Enterprise Data Management solution that improves the quality of a financial institution’s market and reference data on an automated basis. It thereby reduces the costs and risks connected with the management of a constantly growing volume of data.

The flexibility of its high-performance rules engine and data model allows Temenos DataSource to adapt to changing regulations. It validates and aggregates data acquired from international and local providers, merges it and then forwards consistent data to various target systems within the organisation. This versatility makes Temenos DataSource unique.

As a result of the integrated reporting system, centralised collection mechanisms make it easy to conduct internal and external audits. The future-proof technology of Temenos DataSource, which is built on JEE architecture, can be easily expanded to meet the demands of the most complex SOA strategies. Data can be imported, consolidated and exported in a single STP process. Even the largest volumes of data can be efficiently managed due to its scalable architecture.

For further information please visit the DataSource section of the Temenos website at http://www.temenos.com/products/temenosdatasource/

Mark Winterburn, Temenos Product Director, said: “DataSource is a best-in-class data management solution, forming part of Temenos’ multi-product suite. In a world where the volume of data generated is growing exponentially and regulations are becoming increasingly complex and changing frequently, Temenos DataSource will reduce costs and risk whilst improving the quality and consistency of a financial institution’s data.”

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