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

Join Data Management Summit London to Explore the Pros and Cons of Data Migration to Cloud

Subscribe to our newsletter

Data migration to the cloud must be business driven, based on strategy, and include an understanding of data relationships, access paths and potential performance. The benefits of getting it right can be significant to the business and help firms move away from legacy systems. The penalties of getting it wrong, particularly as a result of a lift-and-shift approach, are recreating the same data problems and generating wrong answers more quickly.

“Cost, control and a business perspective are key to successful cloud migration,” says Naomi Clarke, chief data officer at HUB, and moderator of a panel on how to capitalise on data migration to the cloud at next week’s A-Team Group Data Management Summit London. Clarke also notes the importance of going back to basics such as establishing the purposes of migration, including what data problems could be resolved, and what greater gains could be made from a change in data structures.

Winning business buy-in for migration needs to be based on proof of value, perhaps through a pilot project or proof of concept, and should also consider the value of future architectures. “The need is to articulate a business strategy best satisfied by cloud strategy, not a cloud strategy,” says Clarke. She also cautions that while cloud allows firms to scale compute up and down and rationalise costs, data transfers from on-premise to cloud, and to a lesser extent from cloud to cloud, can be very costly.

To find out more about entry points to cloud migration, how financial institutions can use cloud to rethink data and analytics strategies, and the common success factors and limitations of migrationg applications such as data warehouses to cloud, join Naomi Clark and the Data Management Summit session speakers:

  • Lynn Watts, Head of Data Governance, Royal London Asset Management
  • Hugh Davidson, Head of Data Management, Man Group
  • Ravi Gandhi, Senior Content and Technology Specialist, FactSet
  • Chris Brook, Head of Platform Development and Co-Founder, FINBOURNE Technology
  • Antonio Martinez, Field CTO for Snowflake Financial Services, Snowflake

You can see the full agenda of A-Team Group’s Data Management Summit here, and book a place at the event, which is free of charge for representatives of financial institutions, here. We look forward to meeting you next week.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to organise, integrate and structure data for successful AI

Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are limited only by the imaginations of individual organisations. What they all require to achieve...

BLOG

Hidden Dangers in the Race to ‘AI-Readiness’

The data ecosystem has been awash with references to “artificial intelligence readiness” in the past few months, a reflection of the importance being placed on the technology within capital and private markets. The term is generally used in calls for institutions to upgrade their data management systems to ensure their data is of good enough...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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,...