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

A-Team Insight Blogs

On Demand Analytics Have Become Increasingly Important, Says Sybase’s Grant

Subscribe to our newsletter

Regulatory and business pressures are driving firms to invest in risk management functionality such as on demand analytics capabilities, said Stuart Grant, EMEA business development manager for financial services at Sybase, during his keynote speech at A-Team Group’s Data Management for Risk, Analytics and Valuations conference in London. There has been a serious increase in appetite and budget for these analytics capabilities over the last couple of years and there are solutions out there that enable you to build on existing architecture rather than ripping and replacing, he explained.

Solutions can sit on top of large databases and improve their capabilities by allowing risk teams to perform analytics on the data contained within, thus bringing together both historic and real-time data sets, Grant elaborated. One of these technologies is event stream processing (ESP), where data is stored once but can be analysed as it moves through downstream systems.

Another is the intelligent use of cloud-based technology: “Buy side firms’ core competency is not generally in technology development, it is rather in the knowledge of the markets and in intelligent use of data. This is why cloud technology is appealing to these firms because of the lack of overheads and the resulting improved time to market.”

Technologies such as these are therefore increasing in popularity and in sophistication, as more firms push towards an intraday aggregation of risk data and capabilities for on demand analytics, he concluded.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Hearing from the Experts: AI Governance Best Practices

The rapid spread of artificial intelligence in the financial industry presents data teams with novel challenges. AI’s ability to harvest and utilize vast amounts of data has raised concerns about the privacy and security of sensitive proprietary data and the ethical and legal use of external information. Robust data governance frameworks provide the guardrails needed...

BLOG

S&P Builds Private Markets-Trained AI Document Search Tool for iLevel Platform

S&P Global Market Intelligence has expanded its private markets data and technology platform iLevel with the addition of AI Document Search, a module that is built on large language models (LLMs) trained specifically to aid participants in the fast-growing alternative assets sector. The new tool enables general partners (GPs), who manage funds on behalf of...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...