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: Navigating a Complex World: Best Data Practices in Sanctions Screening

As rising geopolitical uncertainty prompts an intensification in the complexity and volume of global economic and financial sanctions, banks and financial institutions are faced with a daunting set of new compliance challenges. The risk of inadvertently engaging with sanctioned securities has never been higher and the penalties for doing so are harsh. Traditional sanctions screening...

BLOG

Alkymi Sees Rapid Growth After Founders Bet Early on Privates and AI

When Harald Collet co-founded Alkymi in 2017, he could see which way the wind was blowing in private and alternative assets, especially their growing interest to traditional capital markets participants. He could also sense the burgeoning demand for artificial intelligence applications within the investment space. And so it was that Alkymi was born almost fully...

EVENT

RegTech Summit New York

Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

The Reference Data Utility Handbook

The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...