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

ReferenceDataFactory Unveils Bloomberg Adaptive Client

Subscribe to our newsletter

Data integration vendor ReferenceDataFactory (founded by a team of ex-FTI/GoldenSource people) has launched RDF Adaptive Client for Bloomberg Back Office. The service oriented architecture (SOA)-based solution for integration across Bloomberg Back Office and Per Security is designed to enable standards-based distribution of the data enterprise-wide. This Adaptive Client joins similar offerings for Reuters and Interactive Data sources within the ReferenceDataFactory stable. The vendor can also quickly create Adaptive Clients for sources on demand, due to the fact that there is a separation between the technology and the configuration of data, according to its managing director Andy Dilkes.

Dilkes says the ReferenceData-Factory technology is used by Accenture within its Managed Reference Data Service. Reference-DataFactory is also partnering with LakeFront Data Ventures, the consultancy founded by Dale Richards, formerly of SunGard, and recently bolstered by the hire of other ex-SunGard men Marc Odho and Rob Ord (Reference Data Review, February 2007). ReferenceDataFactory hopes to work with the large data vendors as well as financial institutions.

ReferenceDataFactory’s aim is “to enable the adaptive enterprise”, says Dilkes. “Our solution is a J2EE-based container, enabling you to plug in anything you like. Our intention is not to replace solutions like GoldenSource and Asset Control. We offer configurable adapters for existing databases – our technology could be used to get data into and out of databases like those. We can make an Asset Control or a GoldenSource behave like a service – or we could be implemented in conjunction with JRules from Ilog, for example.” The data management systems vendors are more focused on rules, internal data management and data centralisation than on integration with downstream systems, Dilkes adds. “Often they are built on proprietary technology bases, rather than on open platforms for data integration. The need for integration is obvious: the value comes with getting market and securities data out to downstream systems. Service oriented implementations are inevitable, and this space is ideal for them.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating a Complex World: Best Data Practices in Sanctions Screening

As rising geopolitical uncertainty prompts an intensification in the complexity and volume of global economic and financial sanctions, banks and financial institutions are faced with a daunting set of new compliance challenges. The risk of inadvertently engaging with sanctioned securities has never been higher and the penalties for doing so are harsh. Traditional sanctions screening...

BLOG

Robust Data Management Still the Silver Bullet for AI Challenges

As the maturity of artificial intelligence applications evolves, financial institutions are finding that the solution to the challenges associated with the technology of data quality and trust can be found in data management. Guaranteeing good outcomes from their models requires that organisations feed them good data, and the only way to ensure that is through...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

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...