Princeton Financial Systems presents DVS Fund Warehouse 6.0
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.