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: 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

Data Infrastructure Faces Stress Test as Private Credit Consolidation Beckons

By Charles Sayac, Managing Director EMEA West, NeoXam. A bout of consolidation unseen in the sector’s history may be on the cards for the private credit space – one that threatens to unearth a host of complex data challenges for the unprepared. A recent Carne Group report revealed almost all (96 per cent) of private debt managers...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Regulatory Data Handbook – Fifth Edition

In response to the popularity of the A-Team Regulatory Data Handbook, we have published a fifth edition outlining the essentials of regulations that are likely to have an impact on data and data management at your organisation. New to this edition is a section on RegTech, covering drivers behind the development of innovative regulatory technology,...