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

A-Team Insight Blogs

GAM Implements Indus Valley Partners Solutions to Create Digital-First Data Management Model

Subscribe to our newsletter

GAM, an independent asset manager managing over $136 billion in assets for institutions, financial intermediaries and private investors, has implemented Indus Valley Partners (IVP) solutions to simplify its data architecture through automation and set up a digital-first data management model designed to give the firm enhanced operational flexibility coupled to greater control.

The firm selected IVP as part of a strategic data architecture implementation programme that would deliver a data-centric IT ecosystem ensuring scalability and robust flexibility to support the firm’s core capabilities. The implementation enabled GAM to integrate a variety of key business systems with mastered data hubs and made it self-sufficient for any future maintenance or enhancements.

Carolyn Baker, head of data management and governance at GAM, explains: “IVP was selected as a cutting-edge solution to revolutionise the way in which data is enriched and controlled at GAM. The reconciliation solutions were implemented very quickly and have proven to deliver operational efficiencies and improved user experience. The delivery of the Security & Reference Master solution has enabled GAM’s first centralised data platform from where all data will be interfaced to downstream systems. Operational efficiencies will be realised as data is sourced and scrubbed in a single platform, creating a true security and reference master.”

GAM has implemented three IVP solutions: IVP Recon, a data reconciliation tool that is providing operational efficiencies and cost savings; IVP Entity Master, which has enabled the centralisation of funds, mandates, share classes and umbrellas, and enhanced data quality controls and workflows to improve overall data governance; and IVP Security & Reference Master, which is providing instruments and party master functionality, enriched data to the portfolio management system, and improved data quality controls on instruments and party data through a federated business governance mode, while continuing to leverage multiple outsourcing providers.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

Data Challenge in Private Credit Highlighted by FSB and Experts

The Financial Stability Board’s (FSB) call for better data provisions within private credit has highlighted a gnawing pain in the side of the rapidly growing market. The global watchdog, which was formed after the global financial crisis to help ensure another recession didn’t happen, partly blamed the lack of visibility into the loans and assets...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

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...