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Applix and Sybase Get Bullish on Risk Analytics Offering

  • August 22 2006, 1:00am EDT

Applix, Inc., a global leader in performance management applications, today announced that it has signed a sublicensing partnership agreement with Sybase, Inc., under which Applix's TM1 will be offered by Sybase with Sybase's Risk Analytics Platform. This partnership will pair the 64-bit version of TM1 with the Sybase Risk Analytics Platform to provide enhanced real-time trade and risk analytics capabilities for advanced securities trading and risk management solutions.

The staggering growth of data generated in financial markets, the acceleration of data flow and advances in quantitative model-driven trading have stressed the analytical infrastructure in capital markets institutions. Cross-asset trading, complex hedging techniques and the need for extending risk controls into every phase of the trade life cycle have created demand for real-time analytics against both live data and deep historical data sets. Regulations such as Regulation NMS (National Market System) and MiFID (Markets in Financial Instruments Directive) have led to requirements for real-time reporting for management oversight as well as generation of audit trails throughout the trade processes.

The leading-edge combination of TM1 and its self-service ad hoc analytics and modeling features with Sybase Risk Analytics Platform will support real-time trading and portfolio decisions by analyzing vast amounts of data from financial markets and enable development and execution of sophisticated trading strategies as well as implementation of risk controls and management reporting in an increasingly dynamic and global trading environment.

Sybase Risk Analytics Platform is a unique consolidated risk and trading data repository designed to manage high volumes of real-time data feeds as well as massive historical and capital market data sets. TM1, with its industry-leading in-memory modeling and reporting capability, enables users to quickly view and understand market trends reflected in large sets of complex trade data and use scenario-based modeling to improve the returns on their securities trading operations.

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