Data Management and Governance

Financial enterprise data management solution is driven by the power of our data intelligence platform, providing real-time and consistent data views across front-to-back office. Every financial market sectors can manage data as a strategic asset, rather than an operational necessity. It helps to accelerate the digital transformation for treasury, investment and risk management activities.

Redefine your cross-asset data management solution with Finstars Orionis Platform

Traders, risk managers and operation managers are challenged with the ability to utilize data that is streaming in rapidly from multiple external and internal sources. It is difficult to compare data, automate processes, and exchange data with legacy systems, like transaction processing system, treasury management system, risk and pricing engine.

Our data platform integrates all types of data from order management system, risk engine or treasury system, captures the real-time data changes and maintain the data consistency from front office, middle office to back office.

Finstars enterprise data management integrates and aggregates data automatically from transaction processing system or engine in real-time. It delivers the financial market data standard with financial market data model(FMDM), establishes clear definitions of the data itself to produce the metadata component for data governance. The solution provides clear defination about how to access the transaction data and market data for all asset classes.

The data-parallel computing architecture supports end-to-end data management for all treasury, trading and investment activities. It also can integrates various service-oriented business processing components to empower data-driven management decisions in financial markets sectors.

Perform data-driven scenario analysis for investment research, risk metrics calculatios and regulatory reports

Traders, investment managers and risk managers could access the platform to perform scenario analysis for investment research, measuring the risk of loss, aggregating trading and risk-based regulatory statements. Enhance productivity and efficiency in governance processes with financial market data model that supports multi-asset classes like foreign exchange & money markets, fixed income, foreign exchange & interest rates derivatives, commodities, currencies, equity derivatives and credit derivatives, and therefore more control and trust in data and analytics in trading, risk and treasury management.

Key Features and Benefits

Make Fast and High-efficiency Investment Decisions

Due to the real-time computing engine, the platform can process the incoming data in near real-time and minimize the latency of getting the data available for querying, which significantly increase productivity and efficiencies for investment & risk management. Also, the platform suppots multidimensional data management for all asset classes and accommodates large fluctuations in business needs.
Support Data-driven Treasury & Risk Management

It can be used as the enterprise data management infrastructure to support investment management, risk measurement and regulatory reporting. With the embedding business processing engine, it can support a fully integrated front-to-back platfomr for treasury and risk management.
Enhance Data Governance for Financial Markets

All types of data in capital markets can be obtained from a variety of sources, which can then be included in the Orionis for analysis. The data can be well-organized by unified financial market data model(FMDM), providing an advanced and integrated approach for enriching data quality and data governance.
Enable AI-driven Trading and Risk Analytics

Provide a comprehensive, real-time data platform, combining LLMs with financial domain- specific models. It offers an engineering implementation to drive AI tools to become core components of risk and analytics, coexisting and blending with other statistical and mathematical elements.