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FOG COMPUTING FEATURE NEWS

DataArt Wins Top Honor at Data Management Review Awards

By Special Guest
Chrissie Cluney , Correspondent
November 24, 2015

In the world of financial data management, DataArt is top dog.

It recently received the “Best Regulatory Application” award at the 2015 Data Management Review Awards, in London.  The company beat out nominees like Sapient Global Markets, Unavista (London Stock Exchange), Wolters Kluwer and Lombard Risk.  

The company is a technology consulting firm that creates end-to-end solutions from concept and strategy to design, implementation and support. It has clients in the financial services, healthcare, hospitality, media and IoT sectors.

“DataArt’s technology excellence in the financial data management space allows clients to meet regulatory reporting requirements speedily, enjoying the flexibility of custom solutions. We’re perfectly placed to make sure that the financial services industry is sufficiently prepared for MiFID II,” said Alexey Utkin, financial services practice leader, DataArt UK.
 

Their award-winning application, the Form PF (Private Fund), helps users get compliant with SEC regulations that require private fund advisers to report regulatory assets under management and AIFMD (Alternative Investment Fund Managers Directive) and covers the management, administration and marketing of alternative investment funds (AIFs). The app was one of the first-to-market solutions following the announcement of the new directive and original deadlines for enforcement.   


Currently, DataArt is applying its strength to assist the Markets in Financial Instruments Directive II (MiFID II), the framework of European Union legislation for: investment firms and banks. They are devising solutions to help firms efficiently collect, aggregate, validate, govern and report data in accordance with European Securities Markets Authority and Financial Conduct Authority requirements.


If you’re ever “across the pond” and you need a top of the line financial data management firm, DataArt is the right solution.




Edited by Ken Briodagh
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