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FINANCIAL INFORMATION MANAGEMENT CONFERENCE - NOVEMBER, QEII CONFERENCE CENTRE, LONDON

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FIMA is Europe's premier meeting for the data management community.

This 3-day event will take place in London, 8th-10th November and will bring together over 250 data management professionals. This will be the opportunity for those working in financial information management to benchmark against industry leaders and gain in-depth overview of the current challenges facing the reference data community.

WHAT'S NEW AT THE 9TH ANNUAL FIMA CONFERENCE?

There are a number of innovations, including:

   1. 3-streamed format: the agenda is formed on the basis of 3 conference streams designed for one strategic/business data manager, one vendor manager and one IT architect.

2. More value for money: the pricing of the conference is structured in order to give attendees a good advantage of booking early and bring colleagues with them.

   3. For the industry by the industry: the conference advisory board members and speakers will be bringing their team members from vendor management, business and IT side of their firms. They have specifically designed the agenda to ensure that all aspects of reference data management are covered.

   4. Many more new speakers: over 70% of speakers are new to the event. Data management attendees are sure to hear brand new presentations and viewpoints.

   5. Regulatory & Outsourcing focus: there is a special focus day on regulatory changes as well as a day dedicated to the benefits and strategies of outsourcing.

   6. Benchmarking opportunities: there will be a number of benchmarking sessions during the conference allowing attendees to not only see the latest trends, but also to position themselves against their colleagues, customers and competitors.

   7. More interactivity: this year's event will give attendees the chance to join a number of panel discussions.

To find out more:

Visit www.fima-europe.com

Email fima@wbr.co.uk

Call +44 (0) 20 7368 9465

FIMA Europe 2011

WBR Ltd
Third Floor, 129 Wilton Road
Victoria, London
SW1V 1JZ

Tags:

data management FIMA Reference Data Financial Data Financial Reference Data Financil Analysis