Solutions

VT Enterprise develops an inherently robust, scalable, user-friendly, and fast solution to handle a financial firm's mission critical reference data.

Since VTE's reference data solution is flexibly implemented around your current database(s), it provides a unique combination of optimally preserving prior IT investments and reducing the cost and scale of the implementation, while at the same time providing an unmatched number of benefits.

Reference data are at the heart of a financial firm

tradersdesk2Reference data, sometimes also called master or static data, describe all the asset positions of a financial firm and typically reside in one or more databases. As such, the reference data are critical for:

  • Determining asset values (snap shot or time series)
  • Traders who need fast and easy trading blotters
  • Accurate risk assessment and management reporting
  • Quantitative modeling of different investment strategies

However, most reference data approaches present issues

The common place approach for accessing reference data is through the use of (often ad-hoc) queries into the relational database. However, that approach can result in:

  • time delays (e.g. if new database queries need to be written)
  • duplicate copies of the reference data (which in turn can lead to errors)
  • overload or even crashing of the database during heavy demand
  • incorrect reporting due to mistakes in interpreting the database fields

VTE’s reference data solution is unique

webcloseupIn essence, VTE's solution replaces database queries by a web type (RESTful) service that is inherently robust, scalable, user-friendly, and accessible.

Moreover, since VTE's reference data solution is built around your current database(s), prior investments in information and IT infrastructure are preserved.

This lean approach reduces the cost and scale of implementing the reference data platform, while at the same time providing an unmatched number of advantages.

VTE’s reference data solution provides many advantages

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  • Leverages scalability of cloud computing but leaves the original data in place (built around what you already have)
  • Provides adequate caching (thus preventing database overloads)
  • The interface is user friendly, responsive, and fast
  • A single interface is provided to multiple databases (while maintaining full user access control)
  • A superior search engine is included that easily lets you retrieve otherwise hard-to-info data
  • Full timeline support is available
  • A built-in data cleansing facility allows for data consolidation

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