The leading knowledge platform for the financial technology industry
The leading knowledge platform for the financial technology industry

A-Team Insight Blogs

Princeton Financial Systems introduces DVS Fund Warehouse 5.9 and DVS Publisher Suite 3.2

Princeton Financial Systems has released new versions of its data management platform DVS Fund Warehouse (DVS) and its automated fund reporting solution DVS Publisher Suite. Both versions offer significant functional enhancements.

DVS Fund Warehouse 5.9 comes with new possibilities for global attributes allowing clients to easily integrate data that are not related to a specific fund or portfolio such as market data. Moreover, new XML attributes facilitate client-specific customisations of the solution. In addition, DVS’ core data model has been extended to allow storage and processing of comprehensive performance attribution data.

DVS Publisher Suite version 3.2 further enhances automated fund reporting. Comprehensive extensions of the charting engine provide users with many new possibilities for creating professional graphics in reports. Parallel report generation is another new feature that increases performance and turnaround time with regards to report production. The newly introduced web service interface accelerates ad-hoc report generation from other applications in particular from web applications.

Related content

WEBINAR

Recorded Webinar: Managing the transaction reporting landscape post Brexit: MiFID II, SFTR, EMIR

The transaction reporting landscape has, for many financial institutions, expanded considerably in size since the end of the UK’s Brexit transition period on 31 December 2020 and the resulting need for double reporting of some transactions to both EU and UK authorities. It has also changed dramatically following the UK government’s failure to reach equivalence...

BLOG

Trustworthy AI in Capital Markets

By Shameek Kundu, head of Financial Services at TruEra. The use of Artificial Intelligence (AI) is growing in capital markets. But the sector has work to do to capitalise on investment made, and this starts with making AI and machine learning (ML) models robust, transparent and fully accountable. Ensuring AI quality will be critical to...

EVENT

RegTech Summit New York City

Now in its 5th year, the RegTech Summit in NYC explores how the North American financial services industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...