FIMA Welcome Address

Chairman's Opening Address

Keynote Presentation: Optimizing Your Data Management Strategy To Drive Your Business & Push Industry Initiatives Forward

Andrew Nicholson Global Head of Reference Data & Reconciliations Credit Suisse (Singapore)

• Uncovering best practices for the deployment of processes
• Managing vendor feeds and integrating data throughout your firm
  
• Understanding the technology challenges of keeping data clean
  
• Examining ways to move consolidation & industry standardization forward

DataBook

Steve French COO Avox/Deutsche Borse

Ken’s session will show evidence of how community based internet models can be incorporated in data maintenance programs to help improve data quality and reduce costly risks associated with incorrect or out of date content.

• Industry challenges
• Successful community based models • The tragic flaw…of all data offerings
• Combining new with old
• The new data community

Kickoff of Interactive Roundtables

The roundtables at FIMA Asia are designed to be a continuation of the day’s content – providing you with an informal opportunity to brainstorm about what you’ve learned and what you need to know. Each 20 minute session will be focused on a specific theme within reference data management and hosted by a table moderator.

Sponsors of the roundtables currently include:

*If you are interested in sponsoring/hosting a roundtable, email Jarrett Spagnoli at jspagnoli@wbresearch.com.

Panel Discussion: Reference Data Quality As A Business Enabler – Linking Greater Quality With Revenue Enhancement

	Robert Ball Director Barclays Capital (Singapore)
	Richard Houghton Global Head of Business Development RBS (Singapore)
	Gordon Koppin Acxiom (Singapore)

• Policy vs. Execution: Measuring data in line with business objectives
• Using data quality to reinforce value add of data departments to the business
• Re-branding data operations as the foundation for the success of your entire business
• Including your data staff in the planning process and getting them to engage the upstream users

Establishing A Framework For Managing Data Quality And Reducing Risk

• Examining strategies to ensure that your data quality is established at the source
• Deciding what level of granularity you’d the data that you bring into your warehouse to be
• Making the decision to de-centralize
• Setting the right architecture into place
• Putting controls on all of your outputs
• Choosing and working with external partners that enable your model’s success

Panel Discussion: Beyond Basel – Exceeding The Regulatory Agenda

Ahmet Yetis Executive Director JP Morgan Securities

• Gaining an understanding of the importance of the data that supports risk and compliance
• What is wrong with the data they are currently getting
• Examining the need for an enterprise-wide data model to manage risk
• Understanding what processes should be automated
• Establishing data governance policies
• Coping with increasing levels of regulation
• Creating an efficient, effective and adaptable data infrastructure that is capable of meeting current and future regulatory requirements

Reference Data Challenges In Asia

John Sproat Executive Director, Morgan Stanley (Japan)

• Coping with rapid business expansion in Asia and Legal Entity Data integration
  
• New regulators & new regulations (FIEL, Anti Money Laundering in India & China)
  
• Managing the business and providing the right ROI for integration

End of Conference Day One