DAY 2: Operational, Technology & Business Issues

8:00 Continental Breakfast & Registration Continental Breakfast & Registration

8:30 Welcoming Remarks Heath Clendenning Executive Director FIMA 2012

8:35 Chairperson’s Opening Address Chairperson’s Opening Address

8:50 Exploring The Current State Of Data Management At BNY Mellon Amy G. Harkins, Senior Vice President , BNY Mellon Asset Servicing, BNY Mellon FIMA, which has been running since 2004, represents a singular point where the underlying symptoms that contributed to the failure of the financial system meet – transparency, timeliness, and comprehensiveness of data. In order to better manage and reduce risk, financial institutions need to improve the quality of their data, and improve the tools and processes that they use to manage it. Amy is a strong supporter of FIMA and has helped push the reference data industry forward. She will kick off this year’s conference with insights into the journey of data transformation at BNY Mellon. Amy G. Harkins Senior Vice President , BNY Mellon Asset Servicing, BNY Mellon Amy G. Harkins is the Managing Director and Senior Vice President at BNY Mellon. Her direct responsibilities are to provide a central utility for Account Opening, Reconciliation, Tax, Income and Control for all client types and all systems globally. Services include account set up, collection of market and tax related documentation, data security administration, exception management processing, id [read more]

9:25 Executive Presentation Kelvin Dickenson, Senior Product Director, D&B Global Risk Management Solutions, Dun & Bradstreet This presentation will review the importance of a collaborative relationship with data providers to ensure robust, accurate and up to date legal entity profiles on clients, counterparties and issuers. Kelvin Dickenson Senior Product Director, D&B Global Risk Management Solutions, Dun & Bradstreet Kelvin Dickenson is the Senior Product Director for D&B’s Enterprise Risk and Compliance solutions. His role is to ensure unparalleled data quality and business insight enabled by a single pristine view of clients and counterparties for financial institutions: maintain accurate counterparty data to determine risk exposure and minimize financial loss; increase the efficiency of thei [read more]

10:00 Panel Discussion: Achievable EnterpriseData Management Tactics To Implement Today Norman Brower, Executive Director of Enterprise Data Group, Morgan Stanley Tony Brownlee, Managing Director of Data Solutions, Kingland Systems Kay Vicino, Senior Vice President, Global Data Management & Reconcilliations, Northern Trust Corporation Philippe Chambadal, Chief Executive Officer, SmartStream We could all use a little good news from time to time. EDM poses so many wonderful possibilities for your team; however the hurdles in front of you may loom large. This panel will breakdown some tactical management solutions to help your EDM goals along. Due to the open format, this is the best opportunity to ask all the questions you can. Discussing how EDM is developing at Northern Trust Corporation, Morgan Stanley and Credit Suisse A focus on how process improvements can benefit your EDM goals Leveraging your existing enterprise infrastructure to streamline reference data operations Examining how to create uniform workflows that go across business lines Looking closely at gaps in technology, risk and organizational buy-in Norman Brower Executive Director of Enterprise Data Group, Morgan Stanley Tony Brownlee Managing Director of Data Solutions, Kingland Systems Kay Vicino Senior Vice President, Global Data Management & Reconcilliations, Northern Trust Corporation Philippe Chambadal Chief Executive Officer, SmartStream Philippe Chambadal is the CEO of SmartStream Technologies, leading its acquisition in 2007. Philippe has held many senior management positions in software and hi-tech firms over the past 15 years. He was the Founder & CEO of MetaMatrix, the leading data services platform purchased by Red Hat and was EVP at FAME Software, a Warburg Pincus portfolio company - subsequently acquired by [read more]

10:35 Refreshment Break & Opportunity To View The Solutions Zone Refreshment Break & Opportunity To View The Solutions Zone

11:15 Reference Data Integration: A Strategy For The Future Barry Smith, Adjunct Professor of Computer Science, University of Buffalo Creating and maintaining effective reference data within a single organization is difficult. To achieve the same ends where multiple organizations are involved is well nigh impossible. Yet these ends have been achieved in some areas, and some examples of success stories. This session will summarize the lessons learned from existing attempts to advance data integration in the financial domain – including metadata registries, data dictionaries, information exchange models, and ontologies – and will conclude by sketching is a viable strategy for the future, a strategy that is marked by the following features: It should be easy for all committed organizations to adopt It should provide benefits which will incentivize adoption, for example in enhancing retrieval and analysis of data It should not add significant storage and processing burdens It should allow for incremental adoption at different speeds by different organizations It should preserve existing data in their original form Barry Smith Adjunct Professor of Computer Science, University of Buffalo Barry Smith is a leader in the field of ontology research and development and the creator of ontology resources used by over 100 organizations for purposes of data integration and analysis. He is Director of the National Center for Ontological Research and Professor in the Departments of Philosophy, Computer Science and Neurology in the University at Buffalo. His research has been funded by the Na [read more]

11:50 Develop Your Plan To Integrate Data For Finance & Risk: The Dodd-Frank Impact Hagen Feuchter, Senior Industry Consultant, Teradata Many companies’ decision support environments have evolved from a dependency on isolated data repositories tasked for a single purpose. Initially, these repositories likely met the basic needs they were designed to solve. However, as business needs and regulatory requirements have demanded new analysis, the resulting distributed architectures and their inherent data complexity have presented significant challenges for IT organizations to keep pace. So what is the appropriate strategy to enable future analysis, while reducing costs associated with a disparate architecture? In this presentation we’ll discuss a systematic approach to developing a “Roadmap to Integrate Your Finance & Risk Data”. The presentation will highlight 4 key areas to consider while developing your roadmap: 4 Key Considerations in Developing a Successful Roadmap: Relentless Focus on Delivering Business Value Stick to the Integrated Data Strategy Integration is not a theoretical construct Each new project adds to the integrated whole, working toward an integrated information asset Build for Flexibility and Change Organize data with acknowledgement that business requirements will change - often Avoid “death by requirements” – perfect is the enemy of good enough Proven Conceptual Architecture Hagen Feuchter Senior Industry Consultant, Teradata Hagen Feuchter is a Senior Industry Consultant for Teradata. His expertise is in the application of data management and analytics for financial institutions, with specific emphasis on risk and return management decisions. Hagen has supported many of the top US North American banks with their risk, governance and compliance challenges as well as profitability and performance management. He has deve [read more]

12:25 Innovative Use Of Third Party Data For Counterparty Data Maintenance David Goldberg, Managing Director & Head of Enterprise Client Data Management , BNY Mellon In the rapidly changing world we live in, corporate actions such as acquisitions and divestitures dictate a critical need for financial institutions to have up-todate information on their client’s organization (i.e. legal) structure, in particular for accurate and timely exposure aggregation. This case study will demonstrate how BNY Mellon implemented an on-going pro-active data maintenance program utilizing “golden source” data from an expert third party data vendor to significantly improve data quality and to achieve operational efficiency gains. The presentation will focus how BNY Mellon established different levels of data maintenance based on the significance/risk of its client relationships and the resulting benefits achieved from its data maintenance program. Major program components: Priority Entity Monitoring Hierarchy Refresh Capability Examples of specific data quality benefits from the program The AML/KYC Compliance Impact Preparing for the new global LEI Standard David Goldberg Managing Director & Head of Enterprise Client Data Management , BNY Mellon

1:00 Lunch For All Attendees Lunch For All Attendees

Track A: Business, Operations & Data Str...Track B: IT, Data Architecture & Integra... 2:00 Chairperson’s Afternoon Address Track A: Business, Operations & Data Strategy Chairperson’s Afternoon Address 2:00 Chairperson’s Afternoon Address Track B: IT, Data Architecture & Integration Chairperson’s Afternoon Address

Track A: Business, Operations & Data Str...Track B: IT, Data Architecture & Integra... 2:10 Approximating Six Sigma On A Zero Sigma Budget Track A: Business, Operations & Data Strategy Tim Ryan, Vice President & Head of Performance Measurement, Hartford Investment Management This session presents the author’s tool introduced in his Spring 2007 Journal of Performance Measurement article entitled “First-time-right Ratio: Measuring the Measurers”. This presentation shows how to efficiently and approximately measure the accuracy of your vital reporting in a Six-Sigma like (or lite) way. This is important for knowledge and information conveyors who must know the accuracy of their output but yet do not have a team the size of their staff to determine the accuracy of what their staff is producing (or otherwise do not have a corporate Six Sigma program to rely upon). This session will: Provide an overview of Six Sigma Indicate why academic grading fails to reflect accuracy & success in volumes Present the First-Time-Right (FTR) Ratio in a transparent, simple, practical report Demonstrate how the FTR Ratio provides much of the core benefits of Six Sigma - just on a Zero Sigma Budget Tim Ryan Vice President & Head of Performance Measurement, Hartford Investment Management Timothy P. Ryan, CIPMis a Vice President and Head of Performance Measurement at Hartford Investment Management Company. In this role, Mr. Ryan is department head responsible for GIPS® compliance, return calculation, composite maintenance, peer ranking, and performance attribution support for this $150 Billion plus asset manager. Previously, Mr. Ryan spent seven plus years at Fidel [read more] 2:10 Architectural Patterns For Successful Reference Data Management Track B: IT, Data Architecture & Integration Malcolm Chisholm, Principal, AskGet.com The environments in which reference data is managed are moving from a collection of independent silos to fully architected environments. Architectural patterns are being deliberately imposed across each environment and at the level of the applications. This presentation reviews architectural patterns that have direct bearing on the success of reference data environments. Antipatterns that have deleterious effects are discussed also, as well as how architecture can be governed in reference data environments. Architectural patterns that are used in reference data environments Rationalizing each pattern; including benefits and constraints Providing examples of anti-patterns that add to problems in reference data environments Managing patterns and governing their implementation in reference data environments Malcolm Chisholm Principal, AskGet.com Malcolm Chisholm has over 25 years experience in data management, and has worked in a variety of sectors, including finance, insurance, manufacturing, government, defense and intelligence, pharmaceuticals, and retail. He is an independent consultant specializing in data governance, master/reference data management, metadata engineering, business rules management/execution, data architecture and de [read more]

Track A: Business, Operations & Data Str...Track B: IT, Data Architecture & Integra... 2:45 Panel Discussion: The Potential Marriage Of Big Data & Financial Markets Track A: Business, Operations & Data Strategy Dan Defend, Data Quality Manager, Yahoo Matt Meinel, VP Market Development Informatica Ultra Messaging, Informatica Alexander Szalay, Department of Physics & Astronomy, Johns Hopkins University John Randles, Chief Executive Officer, PolarLake Modern computing is increasingly revolving around massive amounts of data. From physical sciences to numerical simulations to high throughput genomics and homeland security and finance, we are soon dealing with Petabytes if not Exabytes of data. This new, data-centric computing requires a new look at computing architectures and strategies. This panel will revisit Amdahl's Law establishing the relation between CPU and I/O in a balanced computer system, and use this to analyze current computing architectures and workloads. It will discuss how existing hardware can be used to build systems that are much closer to an ideal Amdahl machine. Also it will also explore strategies of interacting with very large amounts of data, and compare various large scale data analysis platforms. Data is starting to dominate computing Scalability challenge is coming, we need to get off the current scaling laws Paradigm shift in computing is coming, non-incremental changes needed We need new architectures, new algorithms, a whole new approach Dan Defend Data Quality Manager, Yahoo Dan Defend earned his Masters in Computer Science from University of Illinois. He has experience at Motorola as an Engineering Manager first in Unix OS and then in embedded cell phone software where he also led analysis and data-driven improvement using Digital Six Sigma methodology. He is currently leading the Data Quality program at Yahoo! where significant improvements are underway involving ce [read more] Matt Meinel VP Market Development Informatica Ultra Messaging, Informatica Alexander Szalay Department of Physics & Astronomy, Johns Hopkins University John Randles Chief Executive Officer, PolarLake John Randles is chief executive officer of PolarLake. John joined PolarLake from Siebel Systems, where he was CTO Banking and responsible for the Retail Banking business across the Americas and EMEA. Prior to joining Siebel, John was CTO of Eontec, a world leader in component-based banking systems, which was acquired by Siebel Systems in 2004. John also led Eontec’s business in North America and h [read more] 2:45 Creation Of An Independent Root Cause Team For Reference Data Track B: IT, Data Architecture & Integration Howard Halberstein, VP, Head of Platform Optimization, Infrastructure Services Group, Deutsche Bank International Limited Complexity causes growth of dependency maps in reference data, shared services such as file transfer, FIX and Risk Engines and market data. In addition, an increased use of virtual resources (Cloud, VMware, Thin Provisioning Storage) and the inevitable rise of silos/islands of IT groups within a large organization. Infrastructure says its not my server Developers say it's not my code Business says its not my trader Left to find an answer to "why did this happen", each group will quickly point at the other 2 groups instinctively. That is why a group of subject matter experts whose only objective is to discover, prepare, and present the evidence to these three groups on what has happened/or is currently happening is no longer a nice idea, rather a must have. Howard Halberstein VP, Head of Platform Optimization, Infrastructure Services Group, Deutsche Bank International Limited

Track A: Business, Operations & Data Str...Track B: IT, Data Architecture & Integra... 3:20 Hedge Funds’ Use Of Reference Data Track A: Business, Operations & Data Strategy Steven Maybaum, Manager, Front Office & Architecture, Caxton Associates LLC Even though most hedge funds have fewer users and disparate IT applications than investment banks, they still have a need for clean and accurate data to support their business goals. Aside from supporting his firm’s growth, Steven is also actively working to reduce his firm’s risk. Attend this session to hear about some of the unique challenges for managing reference data from a hedge fund perspective. Steven Maybaum Manager, Front Office & Architecture, Caxton Associates LLC 3:20 Integrated Asset Management Data – An Enterprise Data Modeling Approach Track B: IT, Data Architecture & Integration Krishnan Vaidyanathan, Vice President of Data Modeling Management, Fidelity Investments We are a collection of multiple Investment advisors traditionally split across asset classes and investment capability lines. We were chartered with rethinking our data strategy to create a data environment that is global, can support multiple asset classes and can multiple investment advisors. We used Enterprise Data Modeling as a core framework to build this Common Data Environment. Subject Areas were modeled and built by Key Initiatives gradually. Enterprise Data Modeling governance ensured the eventual development of an Integrated Data Model that is now live, functioning and supporting multiple applications. This Common Data Environment has become a foundation for Asset Management’s technology blueprint. Centralized, Integrated Operational Data Store Common Enterprise Data Model and reusable data access patterns Single view of asset management data across advisors Enables comprehensive issuer/counter party risk view Improved Data Quality Reduced technology support and operations costs Krishnan Vaidyanathan Vice President of Data Modeling Management, Fidelity Investments

3:55 Refreshment Break & Opportunity To View The Solutions Zone Refreshment Break & Opportunity To View The Solutions Zone

4:25 Industry Survey Outcomes - The State of the Reference Data Market in 2012 Fred Cohen, Global Head, Capital Markets & Investment Banking, iGate Patni With an array of new regulation and a challenging economic environment, firms are under immense pressure to improve data management processes and mitigate risk. iGATE Patni has commissioned an industry-wide survey to assess the latest trends and priorities across the reference data industry. We would be sharing the results and discuss everything you need to know going into 2012. How will the budgets of 2012 look? What are the main business challenges firms face in today’s market? What projects will firms be prioritizing in the next 6-12 months? What needs to be done to meet regulatory requirements? Fred Cohen Global Head, Capital Markets & Investment Banking, iGate Patni Fred Cohen is Group Vice-President and Global Head of iGATE Patni's Capital Markets and Investment Banking practice. With over 25 years’ experience in the financial markets, Fred has held senior management positions with high-profile employers such as Lehman Brothers, State Street, Thomson Financial and DST; he also has extensive experience managing very large scale financial projects.

5:00 Panel Discussion: Best Practices For Efficient And Streamlined Client On-Boarding Alexander Abramov, Vice President of IT Risk Management, JPMorgan Chase & Co. Peter Serenita, Global Head of Entity Reference Data, Global Banking and Markets, COBAM, HSBC Although customer satisfaction is heavily influenced by the client onboarding process, it remains to be a challenge for most data managers. It often remains a manual and labor-intensive process prone to delays which can lead to trade failures and ultimately loss of revenue. Onboarding with broker-dealers and agent banks can span several days to several weeks. On some occasions, the onboarding process months. There still isn’t a standard and efficient counterparty onboarding and static data infrastructure. At the same time there is a major need to standardize the steps in the process, the messaging format and communication mediums to deliver a robust, scalable and efficient infrastructure. Join this panel to debate the issue and to find solutions for your business and for the industry. Maintenance of new and existing clients across a variety of teams including sales, relationship managers, operations, compliance, documentation, tax, credit and legal Integrate compliance controls into the client onboarding process Deliver Know Your Customer Create and maintain full transparency Implementing and maintaining enterprise-wide standards Alexander Abramov Vice President of IT Risk Management, JPMorgan Chase & Co. Alexander E. Abramov previously served as a National Practice Leader at Ernst & Young, where he was responsible for design of IT Compliance Programs for the pharmaceutical clients. Mr. Abramov also was an IT Audit Manager at Ernst & Young. Prior to E&Y, he was a Head of IT Application Development at Bristol-Myers Squibb. Mr. Abramov is a Certified In [read more] Peter Serenita Global Head of Entity Reference Data, Global Banking and Markets, COBAM, HSBC

5:35 FIMA 2012 Cocktail Reception After a day filled with constructive discussion, case studies and critical information for your data management operations, RELAX, UNWIND and make new friends and contacts at the Networking Cocktail Party! Take advantage of this opportunity to network with the industry’s brightest and most forward thinking leaders in a relaxed and informal atmosphere. Bring plenty of business cards and expand your reference data network!

7:00 End Of Day Two End Of Day Two