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

Implementing and Understanding Modern Data Architectures: Webinar Preview

Subscribe to our newsletter

The evolution of data use by financial institutions has been accompanied by ever-changing challenges to its management. With technologies such as artificial intelligence enabling firms to prise greater value from their data and to subject it to greater utilisation, a new set of data management practices have emerged.

These modern data architectures regard data as a shared asset that should be made available to every part of an enterprise for use at scale. Consequently, management structures have been created to enable that.

A-Team Group will examine this groundswell of interest in modern data architectures in its forthcoming webinar. A panel of experts from the worlds of data provision and consumption will join Data Management Insight to delve into the fundamentals of this new phenomenon and discuss how institutions can apply it to draw the most value from their data.

The panellists will be Jez Davies, Global Head of Data Products at Northern Trust Asset Servicing; Robert Muller, Director – Divisional Data Officer at BNY; and, Neil Vernon, Chief Technology Officer at Gresham Technologies. They will be moderated in the webinar, which is entitled “How to simplify and modernise data architecture to unleash data value and innovation”, by A-Team Group’s Joy McKnight.

Organisational Blueprints

“Streamlined, modern data architectures keep flexibility, scalability, security and data sharing as a priority,” Julian Trostinsky, Global Director of Solutions Engineering at Gresham Technologies told Data Management Insight.

“One can look at modern data architecture projects and developments as blueprints for organising and managing data across an entire organisation. It involves defining processes for collecting, storing, and integrating data to meet operational and analytical requirements.”

While data experts differ over the exact definition of a modern data architecture their thoughts coalesce around a few basic characteristics.

The most commonly cited is that they must provide scalability and flexibility. This is most commonly achieved through the use of cloud-native technologies, which can be turned on an off when necessary, providing efficient elasticity of deployment that is sensitive to demand patterns.

They typically are built to ingest and process larger volumes of data than traditional management structures in accordance with the surge in data generation and the incorporation of data-driven technologies.

Importantly, modern data architectures stress the importance of a unified approach to data governance to ensure data accuracy, consistency and security, especially for regulatory compliance needs.

Another key part of these structures is their ability to process real-time data and analytics so that organisations can shorten the decision-making timeframe in response to market or other stimuli.

Important Questions

As well as dwelling on these key components of a modern data architecture, the panellists will consider:

  • How they differ from conventional structures
  • If institutions can retool their existing setups to achieve a similar level of efficiency and flexibility
  • The benefits of implementation
  • The challenges and costs.

“Data architecture is a key element for any organisation aiming to manage, utilise, and leverage its data effectively,” said Trostinsky.

  • A-Team Group’s “How to simplify and modernise data architecture to unleash data value and innovation” webinar will be held on 15 May at 10:00am ET, 3:00pm London and 4:00pm CET. To register your attendance click here.

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

AI in Focus as Experts Meet in UK Capital for Data Management Summit London

Artificial intelligence has dominated the data management conversation in the past couple of years as organisations have recognised the technology’s potential to streamline operations, improve decision making and draw value from the data they use. A-Team Group has responded to the growing demand for intelligence on AI and has given the technology a keen focus...

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...