About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Liontrust Implements Fundipedia Platform to Gain Golden Source Data

Subscribe to our newsletter

Liontrust Asset Management has implemented Fundipedia’s data management platform to provide golden source, validated, and trustworthy data for both the company and its downstream data vendors. The project was delivered by Fundipedia’s implementation team, which onboarded Liontrust’s data in less than 12 weeks.

Vinay Abrol, chief financial officer and chief operating officer at Liontrust, says: “Providing accurate data in a timely manner to clients and vendors is crucial for an asset manager. As we have grown our assets, client base and fund range, diversifying across asset classes, this has become a more resource heavy function. We chose Fundipedia to provide a solution to this challenge and are pleased with the platform. It is enabling more efficient provision of information and data to the market.”

The benefits of the Fundipedia platform include automated data quality rules, vendor dissemination and reconciliation checks that ensure data accuracy in situ and when it is disseminated to vendors. The platform also provides golden source data that gives Liontrust a foundation and technology to introduce new products and scale operations with future growth of the business.

Simon Swords, managing director at Fundipedia, comments: “Liontrust now has control over its data, mitigating potential business, reputational and compliance risk. Also, a foundation of accurate data that will help drive growth.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Executing the Migration to Cloud to Enable Scalability and Innovation

Date: 22 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities...

BLOG

12 Leading Vendors Operationalising AI & ML with Robust Data Pipelines

The transition of artificial intelligence and machine learning (ML) models from experimental sandboxes to production environments remains a persistent operational friction point. While quantitative researchers and data scientists can often demonstrate alpha in isolated backtesting environments, the institutionalisation of these models requires a level of data pipeline robustness, latency control and regulatory auditability that research...

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

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...