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

Princeton Financial Systems presents DVS Fund Warehouse 6.0

Subscribe to our newsletter

Princeton Financial Systems today unveiled its latest version of DVS Fund Warehouse – a platform for data management, analysis and reporting. Version 6.0 contains many new functions that provide even greater support to Princeton Financial Systems’ customers in the areas of data management and report preparation.

Improved mapping of structured products

The latest version features an improvement to the look-through function, among others. This function enables the breakdown of complex structured products into their individual components, for example by instrument type, industry sector and region. Look-through is especially important for reporting, and is also an extremely valuable method of performing analyses. Furthermore, it is a legal requirement in many countries.

The underlying data model has also been expanded and standardized in order to facilitate access to many new fields. The latest version of DVS Fund Warehouse offers another useful feature that helps with the efficient use of several development platforms: thanks to the automated import and export of user-defined configurations, it is even easier to transfer data amongst development, test and production environments.

DVS Report Planner: efficient planning and automation of reporting processes

Version  6.0 offers a new module: DVS Report Planner. Using this module, all deadlines that occur as part of the reporting process can be organized easily and efficiently. The user can define report-specific workflows and areas of responsibility at the fund level. This means that sub-projects can be automated reducing the scope for manual error and thus vastly improving the efficiency and accuracy of the process.

Speedier calculation of key figures

The optional DVS Ratio Calculation Engine module has been completely overhauled and now enables key figures to be calculated in parallel, increasing efficiency. For mass processing of key figures during mapping, the new version provides the option of bulk calculation, thus reducing processing times considerably.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unpacking Stablecoin Challenges for Financial Institutions

The stablecoin market is experiencing unprecedented growth, driven by emerging regulatory clarity, technological maturity, and rising global demand for a faster, more secure financial infrastructure. But with opportunity comes complexity, and a host of challenges that financial institutions need to address before they can unlock the promise of a more streamlined financial transaction ecosystem. These...

BLOG

Introducing Market & Alt Data Insight: Advancing the Industrialisation of Data in Financial Markets

Financial markets are entering a new phase in the evolution of data. Data has always underpinned trading and investment workflows. What has changed is the scale, diversity and strategic management of that data across the enterprise. Traditional market data, alternative signals, derived datasets and AI-generated features now sit on the same operational continuum. The strategic...

EVENT

TEST Event page 1

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and 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 Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...