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

Alveo DIY Data Modelling Supports Faster Onboarding of New Data Sources

Subscribe to our newsletter

Alveo has responded to market demand for reduced cost of change and faster turnaround when onboarding and operationalising new content in areas such as pricing, security master, ESG, and corporate actions, with new data modelling and onboarding capabilities in its Ops360 platform.

The capabilities allow data analysts to graphically model, onboard and maintain new data sources directly from within Alveo’s Ops360 user interface, enabling them to achieve operational efficiencies. Ops360 was initially released in March 2020 with a focus on enabling business and operations users to easily browse, process and validate financial data.

Neil Sandle, Chief Product Officer at Alveo, says: “The new capabilities enable end users to more rapidly onboard and more easily maintain integration with data sets, which cuts time to production and cost of maintenance. Most changes in data vendor offerings come down to additional attributes and these can be easily handled by data analysts without the need for a data processing engineer. New loaders and new versions of data loaders require loading of only metadata changes.”

The new capabilities in Ops360 are powered by Alveo’s underlying Business Domain Model Service and built on Alveo’s microservices architecture and containerisation that was released last year. Alveo is also using the capabilities in its customer operations to accelerate change management, improve data governance, and as the basis for an intelligent exception handling process.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Are you making the most of the business-critical structured data stored in your mainframes?

17 June 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes Fewer than 30% of companies think that they can fully tap into their mainframe data even though complete, accurate and real-time data is key to business decision-making, compliance, modernisation and innovation. For many in financial markets, integrating data across the enterprise...

BLOG

Getting Data Right is Crucial to Deriving Value From AI: DMI Webinar Review

Capital markets participants are struggling with data sourcing and cleansing as they deploy artificial intelligence to streamline operations, improve customer relations and add value to their services, according to the latest A-Team Group poll. In a survey survey of attendees at last week’s Data Management Insight webinar on data quality for AI it also emerged...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

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...