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

Keeping it Simple and Using Common Message Standards is Vital, Says Integration Panel

Subscribe to our newsletter

In order to reach the goal of consistency across new best of breed software and legacy systems, firms need to make sure users understand and use common message standards, said Sally Hinds, global head of enterprise data management (EDM) at HSBC. Her fellow panellists agreed that a shared format for all business applications and normalisation of system output is desirable within the data management framework.

IT and systems are constantly evolving and data management teams must take this into account in their five or 10 year plans, added Christian Arsenault, assistant vice president of IT and data management at Natcan Investment Management. “Ten years in the IT world is a very long time and the needs of business users will also change over this period of time,” he explained. Hinds added that legacy systems are, by nature, persistent and have a tendency not to go away, even though you may want them to. “It is a constant process as current systems become legacy systems in a fairly short period of time,” agreed Arsenault. Although IT systems and architecture is usually due to be changed after around every five to seven years, it often stays in place for 15 to 20, he continued. “In order to account for this, you should build in some degree of flexibility to these systems to adapt to future requirements,” he concluded.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

Implementing Events-based Trading and Prediction Markets

By Jon Light, Senior Director of Product Management at Devexperts. The current surging interest in prediction markets is leading to a general reevaluation of this type of trading, with many financial services firms now questioning whether to offer events-based trading to their own users. To date, several high-profile firms have moved to incorporate prediction markets...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American 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...