2011 Agenda – Day One

8.00 Coffee & Registration Coffee & Registration

8:30 Chair’s Welcome Address Marc Zimmerman, Global Head, Capgemini Financial Services, Business Information Management, Cap Gemini Marc Zimmerman leads Cap Gemini’s Global Financial Services Industry Business Information Management Practice. As a member of the Capgemini Financial Services GBU Leadership Team, he currently oversees a staff of 13 direct reports and more than 1,100 specially-skilled information and risk management resources worldwide, which is almost 4 times larger than the team that he inherited when he first joined the firm. In 2010 alone, his business grew globally by more than 86% over the prior year based on his leadership team’s commitment to deliver the FS market’s most responsive business-led, technology-enabled information management solutions. Prior to joining Capgemini, Zimmerman led a private equity-backed strategy consultancy that provided data mastery and related operational management solutions to leading investment banks, insurance companies and other financial institutions. As an industry expert in strategic information management and asset management and accounting technologies, Marc’s lengthy experience and expertise in the engineering and deployment of complex transactions for both global tier one FS clients and his own organization, make him an ideal chairman and moderator for this morning’s high profile plenary session. Marc Zimmerman Global Head, Capgemini Financial Services, Business Information Management, Cap Gemini Marc Zimmerman is Vice President and Global Head of Capgemini’s Financial Services Business Information Management practice. The global practice comprises over 700 financial services domain and technology specialists, including recognized industry leaders and subject matter experts. The practice also houses a Global Risk Center of Excellence that delivers unparalleled expertise in the development [read more]

8:45 Understanding The Role Of Quality Data In A Financial Institution: A View From The Board Robert Barnes, Managing Director Equities UBS & CEO, UBS MTF Your C-level executives understand the value and importance of data. Your boss is fully behind your plans to improve and change your reference data strategy. But what does this actually mean in practice? How do the different parts of your organization use and depend on reference data? You may know what your direct internal customers need, but do you know how data gets around your organization, and who uses it to make decisions? Join this presentation to hear from Robert Barnes, who is responsible for the UBS’s equities business as well as for its MTF. Robert’s experience as trader, business development executive, and his having been Chairman 2004-2009 of the Securities Trading Committee of the London Investment Banking Association /AFME and FSA's Capital Markets Senior Practitioner Committee, gives him a unique perspective on data and its strategic value. Find out how Robert sees the development of the role of data in a bank in an exchange, and in a buy side institution. Take new ideas back to your office to implement changes and move your data strategy to the next level. Robert Barnes Managing Director Equities UBS & CEO, UBS MTF BA Harvard, PhD Cambridge. Joined the proprietary trading team at Swiss Bank Corporation in 1994, gained experience 'downstairs' on the Liffe derivatives floor as a yellow jacket and 'upstairs' trading special situations via brokers. Currently, Managing Director, Equities responsible for Market Structures at UBS Investment Bank and Chief Executive of UBS MTF. Chairman 2004-2009 of the Securities T [read more]

9:30 Taking The Industry Towards Common Standards: Current Developments & The Impact Of Legal Entity Identifiers On Your Strategy Aurel Schubert, Director General Statistics, European Central Bank What will be the format of the legal entity identifier (LEI)? How will the European Central Bank and the OFR normalize rules and practices? Who will be the custodian of the LEI? What will be the impact of a common identifier? Will a utility be provided to allow you to pull out reference data? What is the impact of having data reside within a utility your firm cannot control? Should the burden of correct counterparty data be placed on the counterparty itself? The ECB has been at the forefront of introducing the concept of an international Reference Data Utility that could deliver high-quality, standardised reference data for regulators, policy-makers, the public and the industry. Find out the strategy behind the business model and organisational premises that could allow the task to be performed by a very small international operational entity. The goal is to organise the competitive processes of the data industry to ensure that reference data on a given item will be produced and maintained once only, thus eliminating the current cacophony of redundant, often contradictory data coming in through multiple “data dialects”. Join this keynote address to learn the details and have your questions answered. All you can do now is prepare the foundation for the new LEI in your business. The point is to get it right, so that it doesn’t end up costing you millions, when standards are introduced. Learn about: Proposed LEI formats Strategy for rules and LEI practices LEI custody and governance Managing LEI and working with the custodian Managing counterparty data Impact on your business and how you can prepare now Aurel Schubert Director General Statistics, European Central Bank

10:15 Networking & Morning Coffee Networking & Morning Coffee

11:00 Sustaining The Quality Of Your Data Erol Mustafa, Partner, Ernst & Young The vast majority of organisations have launched significant data quality programmes, either as standalone projects or as part of broader transformation programmes within their organisations. Whilst many of these programmes have been launched with ambitious business cases and significant investment levels, many have experienced challenges in the transition to sustainable outcomes. The longer term objective for organisations is to move the effective management of data into a business as usual activity, with relevant infrastructure, organisation, accountability and change management disciplines. This presentation will set out the strategic components and tactical roadmap for organisations to move successfully towards transforming their data management capabilities and to delivering 'data quality as a service'. Erol Mustafa Partner, Ernst & Young Erol Mustafa is a Partner with Ernst & Young based in London, with more than 20 years experience. He leads Ernst & Young's EMEIA Financial Services Information Management and Analytics team, with extensive experience in data management, data quality and data analytics. Erol is a frequent contributor to thought leadership on information management, IT risk management [read more]

11:30 The Current & Future Role Of Legal Entity Identifiers: Modelling Data For Credit Risk Transparency & Management Mike Atkin, Managing Director, EDM Council Julia Sutton, Director, Head of Customer Data, Deutsche Bank John Bottega, Vice President, Chief Data Officer, Federal Reserve Bank of New York Sven Bossu, LEI Implementation Lead, SWIFT Fred Cohen, Group Vice President (Capital Markets & Investment Banking), iGate Patni Sven Bossu, LEI Implementation Lead, SWIFT Business processes and ICT systems are not good at handling “data dialects”, so their growth has seen the emergence of costly “data cleansing” activities, conducted both by users and by specialised companies. THe collision between “data dialects” hampers automation and drives cost up. Low data quality at source impacts the whole downstream value chain, creating excess costs and quality losses all along, hampering internal transparency of organisations and increasing their operational risk. The market itself will not be able to deliver the such needed LEI, so how will the industry cope? Join this panel discussion, give your views and concerns, debate and hear the proposed solutions. Overview of current progress on LEI globally Assessing the key challenges on route to achieving a fully standardized reference data world Building standards across nations and across financial insitutions Assessing how LEI are likely to impact and help manage risk, and improve transparency What will LEI mean to your reference data strategy and how you could prepare? Expediting the LEI adoption – what can you and your organization do to help speed up the process? Mike Atkin Managing Director, EDM Council Mike has been a professional facilitator and financial information industry advocate for over 20 years. He is currently the Managing Director for the Enterprise Data Management Council – a business forum for financial institutions, data originators and vendors on the strategy and tactics of managing data as an enterprise-wide asset. Mike is an active participant in standards initiatives and has be [read more] Julia Sutton Director, Head of Customer Data, Deutsche Bank John Bottega Vice President, Chief Data Officer, Federal Reserve Bank of New York John Bottega is Vice President and Chief Data Office for the MARKETS Division of the Federal Reserve Bank of New York (FRBNY). John joined the Bank in February of 2009, responsible for driving and implementing the MARKETS Division Data Management strategy, as it satisfies its responsibilities in supporting financial stability, markets analysis and markets monitoring. In this role, John has been re [read more] Sven Bossu LEI Implementation Lead, SWIFT Fred Cohen Group Vice President (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’ of 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. Sven Bossu LEI Implementation Lead, SWIFT Sven Bossu is a member of SWIFT’s Marketing management team in the securities and treasury area. Based at SWIFT’s headquarters in Belgium, he is spearheading SWIFT’s implementation programme for the new Legal Entity Identifier (LEI). Sven joined SWIFT in 2008 to lead the funds industry’s migration to SWIFT’s strategic, ISO 20022-based solution for standardising and automating communications around [read more]

12:20 Making Decisions, Taking On Challenges & Changing The Way Your Organisation Is Run – What Data Can Do For You & What You Can Do For Data? Baroness Eliza Manningham-Buller, Former Head, MI5 Intelligence and security operations around the world rely on one and only one thing – information, data and its analysis. Every time a disaster is prevented, lives are saved or an important event goes without problems, it is the triumph of those who collected, evaluated and analysed data effectively and correctly. Baroness Eliza Manningham-Buller had to deal with thousands of pieces of data every day. Unlike in films, in real life data comes in different forms, often messy, often at the wrong time and you could never know for certain if it is true quality data. Hundreds and hundreds of data management professionals are involved on all levels in managing this data, sorting it, organizing it, making it available to those on the ground. Life and death decisions are made on the basis of available data. Just the responsibility each of those data managers in MI5 has on a daily basis makes the task unthinkable. So how did they cope? 9/11 and all the events that followed? State visits? The security of the government? War against terror? Keeping London safe? The list of questions and possible problems was growing by the hour. Join Lady Eliza to hear her story. Ask her questions, find out how she slept at night and coped with the challenges. Here are some of the questions we will be asking her after her talk: What are the key competence criteria that you would use to recruit a real life agent? How would you describe the recruitment advantages/disadvantages of the two comparative locations Cheltenham (GCHQ) and London for MI5's workforce? Does MI5 offshore or outsource any data management functions? What types of data management quality techniques are used to ensure that the identity of individuals is beyond doubt? Can you think of any ways we could leverage Spooks's high profile data analyst role to create a degree of kudos for such roles in the world of finance? Baroness Eliza Manningham-Buller Former Head, MI5 Eliza Manningham-Buller headed Britain’s Security Service (MI5) from 2002 to 2007, leading the organisation though substantial change in the wake of 9/11 and the growing threat from Al-Qaeda. During her time at the helm MI5 doubled in size, opened eight new offices and altered its approach to the professional development of staff with the establishment of a training academy. Earlier in her career, [read more]

13:00 Networking Lunch Having heard the plenary presentations you will have a choice of 3 topical conference streams in the afternoon. They are designed for 3 different type of data management professional, giving you a chance to bring a team of colleagues to the conference. The goal is to address all important aspects of data management, focusing on your challenges, new ideas and interesting solutions to problems you and your colleagues face on a daily basis. Choose the most appropriate to your job function session and make sure your colleagues join the other two streams.

Data Strategy As Business EnablerData Quality Strategies - The Business...Data Architecture Strategies: What Wor... Chaired by: Erol Mustafa, Ernst & Young Data Strategy As Business Enabler Erol Mustafa, Partner, Ernst & Young No session description available. Erol Mustafa Partner, Ernst & Young Erol Mustafa is a Partner with Ernst & Young based in London, with more than 20 years experience. He leads Ernst & Young's EMEIA Financial Services Information Management and Analytics team, with extensive experience in data management, data quality and data analytics. Erol is a frequent contributor to thought leadership on information management, IT risk management [read more] Data Quality Strategies - The Business Imperative Data Architecture Strategies: What Works & What Doesn’t? No session description available.

Data Strategy As Business EnablerData Quality Strategies – The Business...Data Architecture Strategies: What Wor... 14:00 Creating A Centre Of Data Management Excellence: How Does It Change Your P&L? Data Strategy As Business Enabler Lorraine Waters, Global Head of Referenece Data Management, RBS GBM Lorraine Waters is responsible for covering client, instrument, end of day pricing, common and organisational data. She manages a team of 250 people with global management based in London driving strategy, policy and change. Regional managers located in the main trading hubs of London, NY and Singapore providing business support, change management and issue escalation. The majority of the processing and people are based in the low-cost, offshore locations including Chennai (India), Newcastle under Lyme (N. England) and Salt Lake City (US) providing support across all time zones. Lorraine and her team have recently implemented a strategic source for instrument data (Helios) and have plans to further automate counterparty and SSI data, improving STP and data quality and consistency. They have also successfully developed a single source for calendar data and have rolling it out to over 30 systems so far. Lorraine is especially proud to have set up a dedicated Data Quality & Control team who are currently aligning standards, policies and metrics globally. Join Lorraine to hear a case study presentation focused on: Key opportunities for a centralized data function Developing a strategy that will improve the most important KPIs – what actually matters? Outsourcing/offshoring – new ideas and strategies Building a single source of calendar data Managing people in different locations with different tasks Keeping control central Tackling the data quality challenges Measuring results – what does “centre for excellence” actually mean in practice? Lorraine Waters Global Head of Referenece Data Management, RBS GBM As Global Head of Reference Data Management, Lorraine is responsible for managing the day-to-day global reference data operations of RBS GBM and has accountability for driving the reference data strategy, developing the operating model and ensuring global alignment to policy and controls. Reference Data at RBS GBM includes Client, Market, Common and Organisational reference data.Prior to this appo [read more] 14:00 Operational Failures: How Is Bad Data Impacting Your P&L? Data Quality Strategies – The Business Imperative Darren Purcell, Director, CUISP Global Services Amaury de Ternay, Partner, Asatys Consulting Diarmuid O'Donovan, Head of Instrument Data Management, UBS Global Asset Management Jon Asprey, Vice President of Strategic Consulting, Trillium Software Everyone enjoys reporting about their contribution to cost savings and profit growth. Most of the presentations in this conference will be about success and ideas contributing to it. Not this panel.Have you actually calculated how much bad data and poor strategies are costing your business? Do you know their impact on the bottom line? Join this panel discussion to find out the bitter truth about bad data, who owns that cost and how you can get rid of it. Find out about: Ideas for identifying quality of your data Evaluating the cost of bad data acquisition How far does bad data spread? Measuring the impact of bad data on data management and other parts of the business? Impact on the bottom line Darren Purcell Director, CUISP Global Services Amaury de Ternay Partner, Asatys Consulting Diarmuid O'Donovan Head of Instrument Data Management, UBS Global Asset Management Jon Asprey Vice President of Strategic Consulting, Trillium Software Jon has over 12 years experience in information management and data analysis, and has worked with both global consultancies and software vendors for many international clients. Initially working within direct marketing operations, assisting clients to build a single customer view and optimise customer analytics, Jon developed a detailed understanding of managing disparate data systems. Most recent [read more] 14:00 Bringing Value To Society And To Financial World: Evaluating The Value Effective Data Management Brings To Global Risk Management & Stability Data Architecture Strategies: What Works & What Doesn’t? Jean-Pierre Zigrand, Department of Finance, London School of Economics Jean-Pierre Zigrand Department of Finance, London School of Economics JP is is a Reader in Finance in the Finance Department of the London School of Economics. Dr Zigrand's research interests are in the areas of derivatives markets, asset pricing, financial market regulation, and financial intermediation, and he is a frequent invited speaker at international conferences. Dr Zigrand is a consultant to the Asset Pricing and Portfolio Management, the Regulation and Fin [read more]

Data Strategy As Business EnablerData Quality Strategies – The Business...Data Architecture Strategies: What Wor... 14:35 Accelerating Data Integration Projects Through Metadata Management Data Strategy As Business Enabler Wolfgang Emmerich, CEO, Zuhlke Engineering Tony Smith, Executive Director, JP Morgan Chase This is a joint case study of a large-scale data-intensive integration project at JPMC’s Worldwide-Security Services Division. The goal was to accelerate through systematic metadata management. The speakers will show you the challenges faced during the building and maintenance stage of the data integration project. They will explain the concept of metadata management and demonstrate how it alleviated some of the substantial difficulties in the project. You will get the details on the use of data dictionaries, data lineage and systematic change impact analyses across system boundaries. The final part of the presentation will show you the financial return on investment in metadata management. Setting the goals for data integration project at JPMC Tackling the challenges in connection with the global scale of the project Developing the core strategy and building the architecture for the project Using metadata to tackle significant problems and issues Using dictionaries, data lineage and systematic change impact analyses Looking at the impact on P&L – results, forecasts and future benefits Wolfgang Emmerich CEO, Zuhlke Engineering Tony Smith Executive Director, JP Morgan Chase 14:35 Next Generation Data Management Data Quality Strategies – The Business Imperative Sally Hinds, Global Head of Enterprise Data Management, Thomson Reuters Gavin Kaimowitz, Global Head of Product Management for Enterprise Data Management (EDM) , Thomson Reuters So now that the ‘C’ level in organisations understand the importance of effective data management and have funded the necessary programmes to achieve this, how can we achieve the next generation of data management? This session will explore what next generation capabilities will need to look like to enable data management teams to become a true data business ‘within the business’. Engaging with the business in a proactive way, with the flexibility to deliver to their rapidly changing demands Providing a data service model with different ‘tariffs’ for different types of service delivered Becoming a ‘profit centre’ so you have enough money to reinvest in continuous improvement Enabling users to have flexible ways to receive cleansed data across the enterprise Building a strategy based on flexibility and transparency : across both the business and technology areas Sally Hinds Global Head of Enterprise Data Management, Thomson Reuters Gavin Kaimowitz Global Head of Product Management for Enterprise Data Management (EDM) , Thomson Reuters Gavin is the Global Head of Product Management for Enterprise Data Management (EDM) at Thomson Reuters, and is responsible for the building of the next generation data management platform and related propositions. He leads a team of cross industry experts, providing thought leadership and best practices. Gavin and his team are also responsible for the management of a feed handler factory who are d [read more] 14:35 Spanning the Silos - Practical Approaches to Data Management at the Enterprise Level Data Architecture Strategies: What Works & What Doesn’t? Stephen Engdahl, Senior Vice President, Product Strategy, GoldenSource Corporation Centralized or federated? Single or multiple gold copy? This session will introduce the primary architectural options for data management at the enterprise level, including points firms will need to consider as they select the right architecture for their operation. Some examples will be provided of how firms have been able to achieve success with various approaches. Stephen Engdahl Senior Vice President, Product Strategy, GoldenSource Corporation

Data Strategy As Business EnablerData Quality Strategies – The Business...Data Architecture Strategies: What Wor... 15:10 Panel Discussion: Identifying Your Customers & Their Data Needs: Giving The Customer What They Want When They Want Data Strategy As Business Enabler David Thomas, Global Reference Data, Barclays Capital Tom Barkes, Head Of Product And Pricing Reference Data, Goldman Sachs Tom Dalglish, Chief Information Architect, Bank Of America Merrill Lynch John Randles, CEO, PolarLake Are your internal and external customers getting the data they want and in the format they prefer? Are you guessing about their needs or have you actually surveyed your customers? Different organizations approach this challenge in very different ways. They share one thing in common. The customer must get what they need, in the right format and most importantly on time. Join this panel discussion to hear how the views on customer servicing have changed together with the customer requirements. Find out how you can deal with the increasing diversity of customer needs without sending your costs through the roof. Build on the experience of others and get new ideas to implement back in the office. Identifying the different customer needs for data Building your data services based on diversity Tackling the data quality issue Avoiding doubling up on data acquisition and packaging Golden copy vs raw data – does everyone need it? Measuring the quality of your data services – are you giving them what they want? David Thomas Global Reference Data, Barclays Capital David Thomas joined Barclays Capital in January 2010 and is the Global Head of Client Data. He has over 10 years of Data experience across both Client and Product Data and has previously worked in both Run-the-Bank and Change-the-Bank roles at Citigroup, UBS and ABN Amro. Since joining BarCap, David has driven expansion of the Client Data services into other areas of the Barclays Group - Barclays [read more] Tom Barkes Head Of Product And Pricing Reference Data, Goldman Sachs Tom Dalglish Chief Information Architect, Bank Of America Merrill Lynch John Randles CEO, 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] 15:10 Panel Discussion: The Management of Index Data and Benchmarks in Investment Management Firms: Steps to Process Maturity Data Quality Strategies – The Business Imperative Gary Pringle, Vice President, Global Pricing Operations, Worldwide Securities Services, J.P.Morgan Ltd Steve Cheng, SVP, Global Head of Data Management Solutions, RIMES Technologies Steve Cheng is the solution manager for RIMES Benchmark Data Solution (BDS). BDS is a fully managed benchmark data service for buy-side firms offering unrivalled breadth and depth of coverage, aggregation of multiple data sources, comprehensive data validation and issue management, flexible and fully customisable functionality, all supported with award winning service. Steve has extensive experience in the financial information and software industry gained in a number of senior global product marketing and business strategy positions at Reuters, Datastream and DST Global Solutions. Steve’s focus is on data management and buy-side software and services; ranging from historical financial information, investment management systems, data feed delivery and OTC derivatives trade processing. Join Steve for a panel discussion focussed on: · The driver for increasing use of index and benchmark data in buy-side firms · Impact of this growth on buy-side organisations: cost, business agility, operational effectiveness · The key issues in managing index data and benchmarks · Current market practice and operating platforms · The need for a disciplined approach to data management. Peter Ellis from Investit will be available during the session to take part in the Q&A following the panel discussion. Gary Pringle Vice President, Global Pricing Operations, Worldwide Securities Services, J.P.Morgan Ltd 24 years in investment administration industry, 17 years with JP Morgan and 7 years previously with Royal Bank of Scotland. Experience in market & reference data, operational risk management, Fund valuations and operations management. Current responsibilities include development of asset pricing solutions for WSS clients and strategic build of JP Morgan pricing platform. Member of [read more] Steve Cheng SVP, Global Head of Data Management Solutions, RIMES Technologies 15:10 Achieving Cost Savings & Efficiency By Taking Advantage Of Internal Data & IT Synergies: How To Minimise Doubling Up Of Costs & IT Risk Data Architecture Strategies: What Works & What Doesn’t? Steven Carter, Head of Data Management, Baring Asset Management Peter Okeefe, Programme Manager | STRIDE - Financial Reporting, Deutsche Bank Steven Cannon, Reference Data Group Head, Interactive Brokers Every data and IT architect in every business talks about the burden and cost of technology silos. Disintegrated systems that are unable to talk to each other are costing you millions every day. Given that data is consumed by practically all parts of your business, you are least able to afford disintegration. Many financial institutions spend millions on consultants and technology experts to get to the bottom of internal synergies and to achieve true interoperability and collaborative data use. This session is designed to give you new ideas on how to effectively exploit what you already have in your business, without having to invest millions in new integration projects, expensive IT superstructures and high maintenance costs. Join some of the leading practitioners to find out how they took a fresh look at their data architecture and saved lots as a result: developing an audit strategy across the business what type of synergies are you looking for? Counting the cost and extent of your internal silos Building an integration strategy, business case and implementation plan Measuring ongoing and final results – what should you be achieving? Steven Carter Head of Data Management, Baring Asset Management Currently Head of Data Management at Barings Asset Management. Over 17 years experience within the asset management industry within both operations and IT. Previous rolls with Aberdeen Asset Management (2007 - 2011) and Deutsche Asset Management (1994 – 2007).   Strong experience of data management, data governance, change management, business transformation, team leadership, top-level stakeholder [read more] Peter Okeefe Programme Manager | STRIDE - Financial Reporting, Deutsche Bank Steven Cannon Reference Data Group Head, Interactive Brokers

15:50 Afternoon Coffee & Networking Afternoon Coffee & Networking

Data Strategy As Business EnablerData Quality Strategies – The Business...Data Architecture Strategies: What Wor... 16:20 Achieving Considerable Cost Savings & Efficiencies Through Internal Synergies Data Strategy As Business Enabler Patrick Labbe, Market Data , Natixis Liam Davis, Senior Vice President, Head of Market Data, GTS Securities & Fund Services, Citi Peter Okeefe, Programme Manager | STRIDE - Financial Reporting, Deutsche Bank Peter Okeefe is currently involved in a project with a goal of cost savings. He is looking at the different parts of the Deutsche Bank’s data strategy to identify where efforts are doubling up and how different parts of the business can share data, analysis and provision tools. Internal synergies are often disregarded due to IT silos and constraints, pre-established business processes and often challenges in persuading teams to work together. Join Peter to find out how he got on at Deutsche Bank, take away some ideas and lessons learnt, implement them back in your office:  Identifying key areas for collaboration and interoperability  Managing and changing the silo approach  Developing a cost savings plan and sticking to it  Ensuring that all teams are bought into the plan  Measuring results – did you actually save anything? Patrick Labbe Market Data , Natixis From 2004 to 2011, Patrick worked on four different mergers, now Natixis, where he was responsible for all aspects of Market Data. Specific projects included audit, cost optimisation, merging of contracts and MDSL optimisation. Prior to joining Natixis, Patrick was a Market Data Consultant at CGI and at IXIS CIB. Based in Paris, Patrick is now a Market Data Consultant at TeamTrade and part of the [read more] Liam Davis Senior Vice President, Head of Market Data, GTS Securities & Fund Services, Citi Peter Okeefe Programme Manager | STRIDE - Financial Reporting, Deutsche Bank 16:20 Panel Discussion: The Value Of Different Data Quality Strategies: Golden Copy Vs Raw Data Approach Data Quality Strategies – The Business Imperative Philippe Rozental, Head of Asset Servicing, SGSS Philippe Chambadal, CEO, SmartStream DClear Llew Nagle, Instrument Data - Head of Consumer Service Management, Deutsche Bank Is there a single version of the truth? Or should we focus not on the truth but on fitness to use? Some data managers and experts regard the single Version of the Truth as meaningless and pointless. Some see raw data as the answer to the challenge. Capturing data, and storing it in a form that supports a shared view of the business and agreed-upon business rules and definitions, might create a data repository that adds value. What do you think? Join this panel discussion to debate the Golden copy question.  Identifying why golden copy is the best and possible arguments against it  What happens with golden copy in your business?  Using raw data – who are those users and who do they prefer it?  Building a shared view of data, where each user receives the information they need in the format that best enables them to make effective decisions Philippe Rozental Head of Asset Servicing, SGSS Philippe Rozental is Asset Servicing Manager at Société Générale Securities Services (SGSS). He is based in Paris and is responsible of the following activities: pricing of OTC and structured derivatives, performance, risk & OTC Middle Office. Prior to joining SGSS in 2005, Philippe Rozental was a consultant at McKinsey and Co and AT Kearney. He was specialised in Financial service [read more] Philippe Chambadal CEO, SmartStream DClear Llew Nagle Instrument Data - Head of Consumer Service Management, Deutsche Bank 16:20 Building Your Data Architecture To Cope With The Current & Future Regulatory Compliance Requirements Data Architecture Strategies: What Works & What Doesn’t? David McVicar, Senior Architect, JP Morgan Post crisis financial regulation has been the driving force behind massive changes in every financial institution. Unlike many, data managers are probably coping with more regulatory compliance challenges than others. After all, it is widely accepted, that we had the data to prevent Lehman’s collapse, we just didn’t know we had it and we didn’t use it accordingly. How long did it take your organisation to figure out your exposure and outstanding contracts with Lehman’s after the collapse happened? Some took days, some took weeks, some even took months. It should have been hours. Join this session to hear new ideas on how to structure your data management architecture to be fully compliant with the current regulation and to be absolutely sure your system will cope with whatever is thrown at it by the outside world. David McVicar Senior Architect, JP Morgan

Data Strategy As Business EnablerData Quality Strategies – The Business Imperative 16:50 Impact of the LEI Utility – Regulatory & Operational Consequences For Your Business Data Strategy As Business Enabler Ken Price, CEO, Avox Now that a solution provider has been recommended by the industry, what are the regulatory, commercial and operational consequences? Ken Price CEO, Avox Ken Price is the CEO and a co-founder of Avox. He has worked closely with senior executives at financial institutions around the world to develop what was initially perceived as a radical solution to ongoing reference data problems. Prior to starting Avox, Ken held global sales management and general management roles with the enterprise risk management software vendor Algorithmics and the derivati [read more] 16:50 Effective Use Of Data Governance And The Practical Realities Of Using Non Structured Data In Financial Data Management Data Quality Strategies – The Business Imperative David Kemp, Executive Director of Legal Policy, Autonomy No session description available. David Kemp Executive Director of Legal Policy, Autonomy

16:50 Panel Discussion: The Breakpoints of Big Data Data Architecture Strategies: What Works & What Doesn’t? Jorge Lopez, Product Strategy & Marketing Data Integration, Syncsort Steven Totman, Business Unit Executive Data Integration, Syncsort Hal Lavender, Head of Technology Practice of Data Architecture, Cognizant Jorge Lopez Product Strategy & Marketing Data Integration, Syncsort With over 12 years of experience in Business Intelligence and Data Integration, Jorge A. Lopez is responsible for data integration product marketing and strategy at Syncsort. Prior to joining Syncsort, Mr. Lopez was a Senior Product Manager at MicroStrategy, where he oversaw the technical direction of key business intelligenNo bce products and lead performance and scalability initiatives. Mr. Lope [read more] Steven Totman Business Unit Executive Data Integration, Syncsort Steve Totman is the EMEA Business Unit Executive for Syncsort, with business and technical strategy responsibilities for Syncsort DMExpress data integration software. With over fourteen years of experience in the software and data integration industries, his career has focused on implementing large-scale data integration systems within fortune 500 companies worldwide, with particular expertise in [read more] Hal Lavender Head of Technology Practice of Data Architecture, Cognizant Head of Cognizant Technology’s US Practice of Data Architecture. His work experience includes over 25 years including CIO of a Top Insurance company, Chief Architect for one of the top Insurance Companies in the World and VP of the World’s largest Mutual Fund Company. Hal has Master’s degrees in Business, Computer Science and Program Management along with an undergraduate degree in Electrical Engi [read more]

Data Strategy As Business EnablerData Quality Strategies – The Business...Data Architecture Strategies: What Wor... 17:20 Overcoming Key Challenges In Managing Client On-Boarding Data: Opportunities & Efficiency Ideas Data Strategy As Business Enabler Chris Beevor, Regional Head EMEA - Client Onboarding, UBS Investment Bank Julia Sutton, Director, Head of Customer Data, Deutsche Bank Henrik Liliendahl Sorensen, Head of Data Quality, Although customer satisfaction is heavily influenced by the client on-boarding process, it remains to be a challenge for most data managers. It often remains a manual and labour-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. This leads to wide variances in the time it takes to onboard funds and set up client static data. One reason for this large gap could be the regional differences in content and requirements. The industry clearly needs to normalise these regional differences and establish global standards. At the same time there is a major need to standardise 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 Chris Beevor Regional Head EMEA - Client Onboarding, UBS Investment Bank Check out Chris Beevor's views on the market ahead of FIMA 2011 here Julia Sutton Director, Head of Customer Data, Deutsche Bank Henrik Liliendahl Sorensen Head of Data Quality, 17:20 Corporate Actions: The Role Of Data Quality In Risk Management Data Quality Strategies – The Business Imperative Gerard Crispie, EIM, Principal Consultant, Steria Sue Baldwin, Global Head of Vendor Management, JP Morgan Steven Cannon, Reference Data Group Head, Interactive Brokers Peter Ku, Director Product Marketing, Financial Services, Informatica Obtaining high-quality, timely and accurate corporate action information continues to be one of the biggest challenges confronting investment managers, broker-dealers, hedge funds and custodians today. This panel discussion is designed to discuss two key issues: 1. strategies for effective corporate actions data management 2. the impact of corporate actions on risk management and transparency  The current and future role of corporate action data in a financial institution  Obtaining and managing quality data  Managing quality throughout the life of data  Data dissemination – giving the users what they need  Building a flexible and transparent corporate actions data retreival system  Avoiding stove pipes and silos – interoperability and integration Gerard Crispie EIM, Principal Consultant, Steria Sue Baldwin Global Head of Vendor Management, JP Morgan Leading the centralisation of all external vendor related activity across JPMorgan Worldwide Securities Services (WSS) with priority for Market Data. Driving the value propositions across WSS, to provide best practice, quality and value for money using a standard vendor model for Market Data. Previously Head of Operations & Technology for ICICI Bank covering Retail, Investment and [read more] Steven Cannon Reference Data Group Head, Interactive Brokers Peter Ku Director Product Marketing, Financial Services, Informatica Peter is responsible for marketing Informatica’s data integration, data quality, master data management and governance solutions to the banking and capital markets industry. Mr. Ku has over 6 years in consumer credit risk and fraud management experience with Providian Bancorp and Visa International and over 10 years marketing data integration, data governance, data quality, business intelligence, [read more] 17:20 Assessing Business Benefits & ROI of Using Data Utility Data Architecture Strategies: What Works & What Doesn’t? Liam Davis, Senior Vice President, Head of Market Data, GTS Securities & Fund Services, Citi Liam Davis Senior Vice President, Head of Market Data, GTS Securities & Fund Services, Citi

17:50 Panel Discussion: Taking The Data Management Profession To The Next Level – Growing Skill Sets & Developing Talent Chris Johnson, Head of Product Management, Market Data Services, , HSBC Securities Services John Visti Madsen, Independent Market Data Consultant, Julian Dorado, Head of Data Management, M&G Gary Pringle, Vice President, Global Pricing Operations, Worldwide Securities Services, J.P.Morgan Ltd Diarmuid O'Donovan, Head of Instrument Data Management, UBS Global Asset Management Every single member of the FIMA 2011 advisory board feels that the data management profession needs to raise its profile and attract even more new talent. The question is – how to do it? This panel discussion is perhaps the most popular among both experienced and new data managers attending the event. We have designed the panel specifically to give you the different viewpoints of different data management generations. If you are at a director level or just started your career in data management, you are likely to face the recruitment and talent challenge sooner or later. What about your own career? Are you on the right path? How should the industry cooperate to change the perceptions about data management and to attract new talent? Join this debate followed by drinks and networking in the exhibit hall. Tackling the challenge of attracting grade A talent to your department Developing data managers to retain the best The data management career – different viewpoints Looking to other industries to attract new data management challenge Growing the flexibility of your data management skill set Chris Johnson Head of Product Management, Market Data Services, , HSBC Securities Services Chris joined HSBC Securities Services in August 2006 and is the Head of Product Management, Market Data Services.  Chris was previously at Threadneedle Investments where he was Head of Investment Information Services.  Before then he was a Director at UBS managing the business content aspects of their data management programme.  Chris started work in the city with Laurie, Milbank stockbrokers, in [read more] John Visti Madsen Independent Market Data Consultant, John Visti Madsen has eight years experience from the financial information industry, both on the vendor and consumer side. He started his career as a data analyst with SIX Telekurs. From there he moved on to VP Financial information. In 2007 he joined Saxo Bank and has up until recently been holding the position of Head of Market Data Sourcing and Strategy, looking after Saxo Bank´s Global data c [read more] Julian Dorado Head of Data Management, M&G Gary Pringle Vice President, Global Pricing Operations, Worldwide Securities Services, J.P.Morgan Ltd 24 years in investment administration industry, 17 years with JP Morgan and 7 years previously with Royal Bank of Scotland. Experience in market & reference data, operational risk management, Fund valuations and operations management. Current responsibilities include development of asset pricing solutions for WSS clients and strategic build of JP Morgan pricing platform. Member of [read more] Diarmuid O'Donovan Head of Instrument Data Management, UBS Global Asset Management

18:20 Drinks Reception Drinks Reception FIMA 2011 is the only place in the world to attract over 300 senior reference data professionals  representing banks, asset management and insurance firms globally. Each year the conference offers delegates not only an outstanding chance to learn about the latest strategies and solutions in the world of financial data management, but also to network, catch up with old friends and see colleagues from the other side of the world. Hundreds of data management professionals see FIMA as their annual meeting place. It is not just a conference, it is an industry event, that has been recognised by thousands of our participants. Delegates from as far as Australia and south America make their way to FIMA, because they see the value it offers both in terms of learning as well as networking. You simply can’t afford to miss this most important day in the reference data management community!