About a-team Marketing Services
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: Building a Semantic Layer for Your Enterprise Data Estate

The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

BLOG

The Case Against Ripping and Replacing: Why Capital Markets Firms Should Build Intelligence Into What They Already Have

By Neil Vernon, Chief Product Officer, Gresham. For years, capital markets firms have faced the same challenge: modernising sprawling, legacy data systems. Each attempt follows a familiar pattern – ambitious platform overhauls, eight-figure budgets, years of disruption – yet the old systems often remain in use long after the new ones are live. Replacing systems...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...