Hitec’s DataStoreDSX delivers Integrated Report Mining & Archiving

11 April 2012

Hitec Laboratories, a leading developer of Enterprise Document, Content, and Risk & Compliance Management solutions to the Banking & Financial Services market announces the release of the DataStoreDSX Output Manager.

DataStoreDSX Output Manager, which utilises the latest Microsoft technologies, is designed to not only securely archive Financial Reports, SWIFT Messages and Statements for Customer Service and Regulatory/Audit purposes, but also to provide the ability to query and automatically extract transactional information contained within them, thereby unlocking valuable corporate information.

Every day Banks and Financial Services organisations rely on the huge range of Reports generated to undertake Investigations, complete Reconciliation tasks or respond to Audit and Compliance enquiries. Whilst traditional archiving solutions have been available for many years, DataStoreDSX Output Manager is the only solution to offer sophisticated integrated Report Mining.

“DataStoreDSX Output Manager plugs a huge gap in the market, enabling Customers to securely archive Reports whilst also being able to query and extract transactional information for further analysis, reformatting and automated creation of spreadsheets for example” said Jeremy Crame, CEO, Hitec.

“Not only are we seeing demand from Customers requiring the additional advanced functionality, but also from Customers using legacy systems such as StorQM or Misys ORF. We have already completed several automated backfile conversion projects which have resulted in a far simpler solution for the Customer to use, and greatly reduced storage requirements as a result of improved compression capability” Crame continued.

DataStoreDSX Output Manager is an integrated component of the DataStoreDSX Enterprise Content Management (ECM) suite, which brings together all forms of enterprise content - such as scanned documents, spreadsheets, print streams, emails and word documents into a single secure repository, enabling users to gain a single view of a Customer, irrespective of the source or format of the information.

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