DAY 2: 8:05
8:40
TUESDAY, MARCH 22 OPERATIONAL, RISK & BUSINESS ISSUES (PART 1)
Continental Breakfast, Conference Registration & Opportunity To View The Solutions Zone
10:45 Refreshment Break & Opportunity To View The
Welcoming Remarks
11:25 Panel Discussion: Exploring The Current State Of
Jarrett Spagnoli Executive Director FIMA 2011 8:45
Chairperson’s Opening Address
9:00
Improving Reference Data Quality Through Six Sigma
Solutions Zone Data Management John Bottega Chief Data Officer – Markets Division Federal Reserve Bank of New York Amy G. Harkins Senior Vice President, BNY Mellon Asset Servicing BNY Mellon
Sean Howell Vice President, Data Management Services Fidelity Investments Enterprise data quality programs are inherently risky because they are long running and span several business functions. Applying Six Sigma methodologies can help you better manage your EDM environment by using techniques to identify root cause and focus on end-to-end process to determine the highest priorities for improvement. Sean will outline how his team applies Six Sigma methodologies and tools to increase data quality and improve processes across their business. • • • • •
9:35
Removing waste and increasing efficiencies Managing through facts (Providing evidentiary proof) Utilizing objective tools to help set priorities Establish ongoing success measures Creating a common language across your firm
New Consumer-Centric Business Models; Getting Clients The Data They Need Dale Richards President, North America First Derivatives This session will focus on global trends in data management to consumer-centric “business models” from leadership skills, product orientation, architecture, organizational issues, philosophy, technology / delivery methods, data transformation, agility and key drivers. • • •
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Data needs of consumers are divergent and specialized One-size fits all is not an option, it never was Use of data as competitive business differentiator means that needs differ by function, content, biz rules, format, source, level of enrichment, timeliness, purpose, quality, etc Data management is not about forcing clients to use “approved” data, it’s about getting them the data they want
10:10 Establishing An Integrated Data Framework For
Managing Risk Duane C. Good Head of Risk Systems & Projects HSBC Most financial institutions are heightening their focus on managing risk. HSBC has created an integrated organization for managing risk, responsible for the data infrastructure that supports risk. Duane is focused on creating an enterprise level function for managing data and risk. In this session, he’ll discuss how they are going about achieving that single, consolidated view of risk. •
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Defining your problem – what are the challenges to data integration within your firm? Building a roadmap for getting a single, consolidated view of risk across your firm Creating a data infrastructure as your key first step to managing risk on an enterprise level Bringing customer data together into an integrated data warehouse
Nick Helton Global Head of Security Reference Data Northern Trust Rick Wilson VP of Sales Trillium Software The financial industry has been shaken by the credit and mortgage fallout. Behind the scenes, data management executives could have predicted this. So where do we go from here? Right now no one has great, clean data. But it is all about “staying the course”. Being committed, remaining tactical, continuing to build support and educating, internally and externally. This panel takes a look at where we’ve come from and where we should be going. •
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How have data management priorities shifted as a result of the heightened focus on risk? Are budgets still being scrutinized? - How are you being smart with your resources? - How are you reducing expenses but continuing to produce high quality data that satisfies your internal users and your regulatory reporting efforts around exposure? What further scrutiny has come about from the regulatory bodies? Assessing who is really driving data management initiatives - Does the risk management side drive data improvement or does the trading (business) side drive improvement? Examining the evolving role of data governance and stewardship - Who owns the data and why? - How can data executives assert their governance priorities? Looking at potential cost reductions with outsourcing and offshoring Data management predictions: Where will we be in 3 years?
12:00 The Data Management Regulatory State Of Affairs Mike Atkin Managing Director EDM Council The newly created Office of Financial Research has crafted legislation that will fundamentally change the practice of data management in the financial industry. As this legislation shifts from framework to implementation, financial institutions and solution/service providers will need to evolve. Join Mike Atkin as he’ll unveil the data management “State of Affairs” at FIMA 2011. He’ll discuss where we are, how we got here, and where we’re heading. 12:35 Morning Roundtable Discussions These tables are designed to be a continuation of the day’s content – we’ll break the tables into specific topic areas – you can participate in the table that seems most relevant to your challenges. Please visit www.fima2011.com for updates on table themes and hosts.
Call: 1.888.482.6012 or 1.646.200.7530 Fax: 1.646.200.7535 Email: fima@wbresearch.com Visit: www.fima2011.com