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: Best practice approaches to data management for regulatory reporting

Effective regulatory reporting requires firms to manage vast amounts of data across multiple systems, regions, and regulatory jurisdictions. With increasing scrutiny from regulators and the rising complexity of financial instruments, the need for a streamlined and strategic approach to data management has never been greater. Financial institutions must ensure accuracy, consistency, and timeliness in their...

BLOG

Data Quality Posing Obstacles to AI Adoption and Other Processes, say Reports

The rush to build artificial intelligence applications has hit a wall of poor quality data and data complexity that’s hindering them from taking advantage of the technology. Those barriers are also preventing firms from upgrading other parts of their tech stacks. A slew of surveys and comments by researchers and vendors paint a picture of...

EVENT

AI in Capital Markets Summit New York

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...