FIMA 2011 - Financial Information Management (FIMA 2011)
|Event Date/Time: Mar 21, 2011||End Date/Time: Mar 23, 2011|
|Registration Date: Mar 21, 2011|
In the wake and recovery from the credit crises, one thing is certain: financial institutions must get away from the complacency and lack of transparency of recent years and change their approach to managing risk.
"FIMA delivers a uniquely clear focus on reference data challenges."
John Bottega, Chief Data Officer, Citi
As you know, the crux of the issue is data. In order to better manage and reduce risk, financial institutions will need to improve the quality of their data, and improve the tools and processes that they use to manage it. One place for financial institutions to start is FIMA 2011. FIMA focuses on the operational, risk and business issues surrounding reference data management. Attend the event, and you'll have access to the brains of over 40 market leaders â€“ as they deliver case studies, participate on panels, and engage audience members during the interactive roundtables.
You'll walk-away with usable strategies to better manage critical functions such as:
* Reference data integration
* Establishing data quality metrics
* Legal entity exposure
* Regulatory restructuring, compliance and reporting
* Emerging market, outsourcing and off-shoring opportunities
* Data governance modeling
* Metadata management
4 Reasons Why You Cannot Afford To Miss FIMA 2011...
Cutting-Edge Content: In addition to helping you contain costs, FIMA focuses on how data managers can help transform data into a business asset.
Interactive Format: You can't put a price on the value of networking and brainstorming. Our roundtable discussions allow the attendees to be more candid about they challenges they face, and give them the opportunity to walk away with fresh ideas for coping with them.
New Speakers: Over 23 brand new participants on the agenda means even if you've attended the show before, you'll take away brand new perspectives and fresh ideas.
Workshop On Data Quality & Metrics: How are you improving your data if you don't have the means to measure improvements? Establishing metrics and defining targets is critical to your success â€“ attend a full day dedicated to improving your data quality.