About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

RZB Selects Thomson Reuters Enterprise Platform for Data Management

Subscribe to our newsletter

Austrian bank Raiffeisen Zentralbank (RZB) has selected Thomson Reuters’ Enterprise Platform for data management across the RZB Group. The bank is currently engaged in establishing a new market risk infrastructure, which it hopes will provide it with the ability to hedge its portfolios more effectively, enabling substantial savings in hedging costs.

The bank engaged in a competitive review and chose Thomson Reuters’ solution due to its data orchestration capabilities, says RZB. Alexander Tsorlinis, head of market risk management at RZB, explains: “We chose Thomson Reuters Enterprise Platform because it fits in with our component based approach to build up a highly flexible market risk management system.”

The platform will allow data integration to be carried out within its own and third party systems. RZB’s upgraded market risk management system will be supported by the complete Thomson Reuters Enterprise Platform, says the vendor. This includes Reuters Reference Data System (RRDS), which will acquire, cleanse and store market data, along with derived market data and risk factors. It also encompasses Reuters Enterprise Integration Engine (REIE), which will provide data orchestration between the Thomson Reuters components and RZB developed components and third party systems, and will also integrate real-time data from the Reuters Market Data System (RMDS).

Jon Robson, president of Enterprise, Thomson Reuters, comments: “This agreement provides RZB with a flexible, enterprise class data management and orchestration solution that will significantly reduce the risk and cost of integrating data into their important new market risk infrastructure.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

The ‘More Data Is Better’ Myth

By Edgar Randall, Head of Europe, Dun & Bradstreet. For years, business leaders have been told that data is their greatest asset. Collect more of it, connect more sources, and better decisions will follow. However, as organisations accelerate their investment in AI, analytics and digital transformation, this long-held assumption is starting to be challenged. The...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...