NEW YORK CITY and LONDON (May 27, 2003) - - FAME Information Services, Inc., a leading provider of historical and reference data management solutions for the financial, energy and public sector markets, today announced its alliance with Digital Innovation Systems Ltd., U.K. Together, the companies will market FAMEâs ReferencePoint solution for Asset Management, which has been specifically designed to address the integrity, usability and accessibility requirements of internal and external asset management data. This single solution addresses the needs of retail, institutional, and private client asset managers.
Asset management is an information intensive business, acutely dependent on timely and accurate data. ReferencePoint for Asset Management allows an institution to consolidate and clean all the data vital to their business in one central repository. This data is then used to populate all dependent systems with high quality, reliable information. By improving data integrity and processing with ReferencePoint for Asset Management, institutions can improve trades, client statements, reconciliations, performance reports, risk analytics, regulatory returns and management information.
"Asset managers are under great pressure to make operational efficiencies while reducing operational risk," said John Wallis, head of sales for FAME Information Services in Europe. "The experience of our clients proves that an effective data management strategy is essential in meeting these requirements."
"An asset mangerâs vital information - such as holdings instrument pricing, corporate actions data, portfolio valuations, and CRM information - are distributed over many internal systems," added Dennis Slattery, CEO of Digital Innovation Systems Ltd. "Asset managers are currently investing enormous time and resources integrating and reconciling data for client reporting, regulatory approval, internal MIS and to remove internal inefficiencies such as STP failure. ReferencePoint for Asset Management is a good example of how technology can improve data accuracy and processing."