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

A-Team Insight Briefs

GoldenSource Switches on Version 10 of its Data Management Platform

Subscribe to our newsletter

Clients of GoldenSource are now able to access the updated version of the company’s enterprise data management platform, which has been enhanced with deeper analytics and artificial intelligence (AI) capabilities.

Version 10 (V10) of the cloud-based service will enable AI-supported documentation and search tools as well as automated pipelines that provide a single, centralised view of fund data at entity level.

There is also new ESG functionality through data connectors and improved data lineage and metadata extraction capabilities.

The updates enable GoldenSource’s asset management, asset servicing, custodian and banking clients to “streamline data management processes and accelerate their cloud transformation”, the company said.

“Version 10 is the most innovative financial services data management solution that our team has developed, and we are excited to bring this to the market at such an opportune time for new and existing clients,” said GoldenSource chief product officer Swati Tyagi.

“As firms grapple with more volatile market conditions and increased regulatory burdens, ensuring financial institutions get the most out of their data has never been more important. To this end, we have worked closely with our clients to ensure our modernised product portfolio caters to their more diversified needs, focusing on digital transformation and the inevitable migration to cloud data services.”

V10 also features validations and analytics to help clients meet regulatory and vendor requirements, service delivery via APIs that integrate with reporting tools and visual data validation.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

Tracing Data’s Transformation is Key to Compliance and AI Effectiveness: Webinar Preview

Transparency and accuracy are characteristics of data that are equally important for financial institutions’ compliance processes and the rollout of artificial intelligence applications. Without those qualities, regulators will have little trust in the disclosures of firms’ compliance teams and any AI technology will be prone to misleading and potentially damaging outputs. To ensure these two...

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

Entity Data Management Handbook – Sixth Edition

High-profile and punitive penalties handed out to large financial institutions for non-compliance with Anti-Money Laundering (AML) and Know Your Customer (KYC) regulations have catapulted entity data management up the business agenda. So, too, have industry and government reports on the staggering sums of money laundered on a global basis. Less apparent, but equally important, are...