kACE DataPort


 
Financial
sector
solutions
Data Publishing from Kalahari

DataPort provides financial institutions with an efficient and cost-effective solution to synchronise and publish improved quality, real-time data to their own customers via numerous platforms, including RMDS and Triarch.

As a DataPort user, you have the advantage of low impact migration from existing price-only architecture to pricing+ data sales and distribution. Keeping your existing processes intact, DataPort allows the trading desks to use their systems much as before.

Modifications are made to desk models to provide clean data for publishing, acquiring market data from various sources within the company, such as spreadsheets and in-house pricing systems, and push prices in real-time into its publishing hub. The hub then synchronises the data and pushes it out to customers via one or more data platforms.

DataPort Key Features:

  • Flexible, easy to maintain and monitor.

  • Data is driven primarily by trading desk pricing models, providing high-quality data for data-sales.

  • Supports gateways to a multiple of platforms, including MTRS, RMDS, eSpeed, TIB Rendezvous, Triarch SSL and others.

  • Existing spreadsheets are simply uploaded into the publishing architecture.

  • Multiple processes such as data cleansing, snapshots, auditing, archiving and permissioning can be carried out on the publishing-only data.

  • Publishing activity can be monitored and controlled remotely.

 
Desktop solutions

Tullett Liberty, Tradition, Merrill Lynch and Telerate are among those institutions that are using kACE DataPort to publish real-time data.

Commenting on the publication of market data at Tullett Liberty, Tim Armstrong, Front Office Systems Manager (Capital Markets) at Tullett Liberty said: "We experienced a number of problems with lack of functionality and reliability which meant we had prices but we couldn't necessarily capture and distribute them effectively. Before kACE DataPort was in place, we managed much of our data publishing through spreadsheets, which meant writing a whole host of programs to eliminate multiple data contributions being made, for example if two traders opened the same spreadsheet, which was a common occurrence. Furthermore, if the spreadsheets were not operating correctly, no prices were published."

 
 
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