2011 Agenda – Day Two

8:00 Coffee & Registration Coffee & Registration

8:30 Chair’s Welcome Address Prof Dave Cliff, Department of Computer Science, University of Bristol Chair’s Welcome Address Prof Dave Cliff Department of Computer Science, University of Bristol Dave Cliff has held faculty posts in three UK universities and at MIT in the US. During 1998-2005 Professor Cliff worked in industry, as a Department Scientist for Hewlett-Packard Laboratories, where he led a major research interaction with the London Stock Exchange; and then as a Director/Trader in the Complex Risk Group at Deutsche Bank’s London foreign exchange (FX) trading floor. Since 2005 he [read more]

8:45 Looking At The Future Of Technology In The World, In Banking & In Your Job: What Is Next? Prof Dave Cliff, Department of Computer Science, University of Bristol For more than 20 years, Dave's research work has concentrated on complex adaptive systems, and for more than 15 years he has specialized in applying his research to market systems. His research became widely known when he invented an autonomous adaptive algorithmic trading system that learned from its experience in the marketplace, and released the algorithm as open-source in 1997; in 2001 Dave's algorithm was shown by IBM researchers to consistently beat human traders in experimental versions of financial-market auction systems, something that resulted in worldwide media coverage, and that helped to establish academic research in automated trading. Join this keynote address to hear which next big technological invention is going to change your world. Prof Dave Cliff Department of Computer Science, University of Bristol Dave Cliff has held faculty posts in three UK universities and at MIT in the US. During 1998-2005 Professor Cliff worked in industry, as a Department Scientist for Hewlett-Packard Laboratories, where he led a major research interaction with the London Stock Exchange; and then as a Director/Trader in the Complex Risk Group at Deutsche Bank’s London foreign exchange (FX) trading floor. Since 2005 he [read more]

9:15 Panel Discussion: Preventing The Next Big Problem In The Financial World: How Should Data Be Used & Why Sally Scutt, Deputy CEO, British Bankers Association Francis Gross, Head of External Statistics, Directorate General Statistics, European Central Bank John Bottega, Vice President, Chief Data Officer, Federal Reserve Bank of New York Tom Dalglish, Chief Information Architect, Bank Of America Merrill Lynch The world’s financial regulators and countries governments are busy thinking about separating retail and investment banking, setting higher equity requirements, and forcing firms to devise resolution plans so they can dismantle them when they fail. Will these measures prevent runs on financial markets like those that caused the financial crisis in 2007-2008? Hopefully they will. But will they protect your business and ensure minimum exposure in case of any type of collapse? Who knows? As ever, the answer is likely to be in the data your business holds; particularly in its accuracy and availability. Join this high level strategic panel discussion to hear different views on the role of data in managing a stable and competitive financial market. Give your views to your colleagues and regulators. Find out what is being done on a macro level to build the all important immunity from financial meltdown. • The changing data requirements in your organisation • What are the major gaps in data provision and use? • Building a robust data strategy that will protect your business • Staying ahead of others – new ideas, latest strategies• Standards and their role in building financially stable markets• Looking into the future role of data in the world’s capital markets Sally Scutt Deputy CEO, British Bankers Association Sally Scutt is Deputy Chief Executive of the British Bankers’ Association where she has responsibility for the key policy areas of capital adequacy and prudential regulation, capital markets and market infrastructure, corporate governance, accounting standards and financial crime.Sally is a member of the European Banking Federation’s Executive Committee, as well as its Banking Supervision Committe [read more] Francis Gross Head of External Statistics, Directorate General Statistics, European Central Bank Download Matthew Cox's presentation on "Effective Data Standardisation across Financial Services: Utility and other Approaches"November 2010 Francis’ Division, located within the Directorate General Statistics of the ECB, is responsible for the external statistics of the euro area (balance of payments, international investment position, foreig [read more] 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] Tom Dalglish Chief Information Architect, Bank Of America Merrill Lynch

9:45 New Ideas For Measuring Data Quality: Using Different Criteria For Different Users Sue Baldwin, Global Head of Vendor Management, JP Morgan Some need it fast, some need it 100% accurate and some need it very short and concise. In fact data quality turns out to be far from a simple concept. As your internal customers become more demanding, both in terms of their requirements as well speed of delivery, you need to adapt quickly. All data is not good for all users. Join this presentation to hear how they manage the change in data requirement at JP Morgan. Find out what strategies can be adopted to measure data quality and how this correlates with the real user requirements. Hear from Sue Baldwin, who will give you her views on: • Building strategies for data requirement audits• Measuring quality from the user view point• Working with vendors to provide your users with exactly what they need, rather than what is being offered to everyone else• Improving data quality – what are they key criteria?• Building a flexible and diverse data quality strategy to be able to adapt to new requirements and customer needs 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]

10:15 Coffee & Networking No session description available.

10.45 Latent Risk in Low-Risk Entities Steven Goldstein, Chairman and Chief Executive Officer, Alacra Alacra recently conducted research into how banks risk-rank customers and counterparties during the on-boarding/KYC process, and how those entities are re-visited over time. While much ongoing attention is paid to the relatively low number of high-risk entities, higher volumes of medium and low-risk entities are, for a variety of reasons, often ignored. Applying a sub-optimal process with limited resources to a large number of accounts is a recipe for risk-based disaster– financial, legal, regulatory or reputational. Steve Goldstein, co-founder and CEO of Alacra, a pioneer in data alignment, concordance, and risk alerting, will discuss insights gathered from surveying the on-boarding and re-screening processes of many global top-tier financial institutions. Steven Goldstein Chairman and Chief Executive Officer, Alacra Steven Goldstein is Co-founder, Chairman and Chief Executive Officer of Alacra. Formerly, Mr. Goldstein was Vice President of Strategic Planning for Knight-Ridder's Business Information Services division. In that role he was responsible for Knight-Ridder's acquisition of Technimetrics and its pre-IPO investment in Netscape Communications. Mr. Goldstein previously held a range of sales and marketin [read more]

11.15 Confronting The Complexities Of Financial Regulation With A Customer Centric Approach; Applying IPL’s Master Data Management And Data Governance Process Chis Bradley, Business Consulting Director , IPL Martin Campbell, Information Architect, National Australia Group (Clydesdale Bank) Master Data Management (MDM) and Data Governance are critical elements in the future planning for UK Financial Services regulation such as Basel II, Anti-Money Laundering and Mifid, amongst others. The challenges faced by Clydesdale Bank, part of the National Australia Group (NAG), in how to structure their data frameworks and processes are not unique, but their approach to resolving them was. With a customer centric move towards legislation compliance, NAG have enacted a ten year Information Management roadmap to create accurate, reliable and sustainable information within a secure, ‘single source of truth’ data environment. In doing so they have identified a number of opportunities to improve customer service approaches and comply with stringent UK regulation through the use of MDM and Data Governance with the help of IPL. Chis Bradley Business Consulting Director , IPL Chris has spent almost 30 years in the Information management field, working for blue-chip organisations in Data Management Strategy, Master Data Management, Metadata Management, Data Warehouse and Business Intelligence. Graduating in 1979 Chris worked for the MoD(Navy), Volvo, Thorn EMI (as Head of Information Management), Readers Digest Inc (as UK CIO), and Coopers and Lybrand Management Consult [read more] Martin Campbell Information Architect, National Australia Group (Clydesdale Bank)

11:45 Panel Discussion: Different Approaches To The Changing Data Pricing Models: Are You Getting a Good Deal? John Visti Madsen, Independent Market Data Consultant, David Berry, IPUG Executive, IPUG Deborah McAdams, Data Sourcing, UBS Global Asset Management Sue Baldwin, Global Head of Vendor Management, JP Morgan Every data manager and vendor manager likes to discus their relationship with the vendors, often blaming them for overcharging, not providing a good deal and not offering enough to the customer. But does all responsibility lie with the vendor? The thinking has been changing among the data managers towards building a collaborative and open relationship with the vendors. If you want a good deal and a good service, then working with your providers will get you a lot further than arguing with them about prices and SLA’s. Join this panel discussion to find out how your colleagues at UBS, JP Morgan and Saxo Bank have been tackling the issue. Learn about new experiences of working with vendors. Hear what the vendors have to say and build you vendor management strategy on the proven results of others. Find out about: • New strategies for improving vendor relationship management• Measuring and evaluating if you are getting a good deal • Listening to vendor’s concerns and challenges• Building a strong relationship with a vendor based on the requirements of your users• Educating your vendors about your requirement and any changes in the business 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] David Berry IPUG Executive, IPUG In December 2008, David joined UBS AG and is Director in Market Data & Commissions Global Sourcing. He was previously Head of Procurement & Cost Control at Royal Bank of Canada Capital Markets Europe from May to Nov 2008. From 2006 to 2008 he was Global Head of Market Data at Barclays Capital. From 2001 to 2006 he was Global Head of Market Data for Société Générale [read more] Deborah McAdams Data Sourcing, UBS Global Asset Management 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]

12:15 Panel Discussion: Developing A Strategy Painless & Effective Client On-Boarding Lorrain Olson, Head of Client Onboarding, EMEA, RBS GBM Malcolm Chisholm, President, AskGet Lorraine Waters, Global Head of Referenece Data Management, RBS GBM Tamsin Bury, Director, Client On-Boarding, Deutsche Bank Many of your colleagues described client on-boarding as being right in the firing line, with everyone shooting at you. Does that describe your current role in client on-boarding? This panel discussion will address one of the hottest issues in the industry, focusing on how you could change your data management strategies to make the process more effective and efficient. Join some of the industry experts from Deutsche Bank and RBS to hear their views on building and improving your client on-boarding processes. Get to grips with: • Assessing key challenges in client on-boarding: looking at all parts of organisation• Looking at the data requirements for effective client on-boarding• Building a flexible strategy to ensure quality data provided for each case • Data accessibility, quality and delivery • Changing processes, architecture and structure of data to improve client on-boarding practices Lorrain Olson Head of Client Onboarding, EMEA, RBS GBM Malcolm Chisholm President, AskGet 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] 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] Tamsin Bury Director, Client On-Boarding, Deutsche Bank

12:50 Networking Lunch Networking Lunch

Data Strategy As Business EnablerData Quality Strategies – The Business...Data Architecture Strategies: What Wor... 13:45 Case Study: Practical Ideas For Managing Costs Of Data Acquisition & Achieving Full Cost Transparency Data Strategy As Business Enabler Matthew Cox, Head of Securities Data, BNY Mellon This session is a follow on case study from the morning panel on vendor management. The cost of data is going up together with your data requirements. Should and could it be going down instead? What can you do to reduce costs and improve efficiency. Get answers to all these questions from Matthew Cox who Matthew Cox Head of Securities Data, BNY Mellon Matt Cox is a Managing Director based within the Asset Servicing business of BNY Mellon. Based in London, he is responsible for global projects and overall strategy as they relate to the company’s Global Securities Data Management Utility. Included in his responsibilities are all regulatory, client and internal driven projects as well as overseeing the group’s Global Best Practice initiative which [read more] 13:45 Designing & Deploying a Truly Enterprise-wide Data Quality Program Data Quality Strategies – The Business Imperative Don Gray, Head of Data Quality, Citi Don Gray, Global Head of Data Quality for Citi, will discuss how he developed and is deploying a standard data quality operating model in one of the world’s largest companies. Topics will include framework design, creating relevance and urgency, governance, socialization, and the tools and techniques that will bring power and permanence to the program. Don Gray Head of Data Quality, Citi Don Gray is the Global Head of Data Quality for Citi. In this role he is responsible for the design, implementation, and ongoing execution of Citi’s data quality program worldwide. The program encompasses data quality framework, tools, professional development, operating model, measurement and reporting, issues management and resolution, and continuous improvement. Prior to his current role, Mr. G [read more] 13:45 Room 101 Data Nightmares: Exploring The Boundaries Of Business & IT In Data Management Data Architecture Strategies: What Works & What Doesn’t? Naomi Clarke, Manager, BT Pension Scheme Management Naomi Clarke is an independent consultant specialising in data management and process transformation. With over 25 years experience in the finance sector, she works with clients at board and senior level to maximise value from the data they hold and improve the way work gets done. Over the course of her career, she has advised many well-known names in the City on diverse assignments including setting up data management functions, building operational risk and governance frameworks, designing business operating models and due diligence of external acquisitions or suppliers. She has recently been working with one of the largest pension funds and a major data vendor. Naomi is currently designing a company governance structure and the processes and procedures necessary for it to run its business. This impacts the whole business across the board - how the work gets done, who is needed to do it and the systems, infrastructure and data that underpin its effectiveness. She has also set up a data management function for one of the largest hedge funds which covered data associated with many thousands of instruments of every variety, including exotic derivatives, in every geographic location worldwide and a wide variety of funds and legal entities. I have also recently finished mentoring the senior data architect behind a new data vendor product and, before then, a review of the activities of an £8 billion asset manager. We asked Naomi where she saw the future of financial data management going and what it would be driven by? Her answer was this: “Given the current economic environment we are working in, the immediate future will be driven by cost and value for money. There will be less tolerance for multiple overlapping data sources and poor data quality. Clients, especially buy-side firms, will become more demanding consumers and will look to reduce their operational risk and processing headaches. This could provide opportunities for managed services to provide quality data on demand and drive standardisation. Another theme will be making the most of what you have already - it is perfectly possible to get better data quality through emphasising the “management” and putting robust processes and controls in place at minimal extra cost compared to new systems implementations. Naomi Clarke Manager, BT Pension Scheme Management "Naomi Clarke is an independent consultant specialising in data management and process transformation. With over 25 years experience in the finance sector, she works with clients at board and senior level to maximise value from the data they hold and improve the way work gets done.Over the course of her career, she has advised many well-known names in the City on diverse assignments including sett [read more]

Data Strategy As Business EnablerData Quality Strategies – The Business...Data Architecture Strategies: What Wor... 14:30 Achieving True Value From Your Data Strategy Data Strategy As Business Enabler Olivier Rose, Head of Projects & International Data Management, Societe Generale Join this session to hear a real life case study on growing value of your data strategy. Different parts of your business are increasingly growing their data requirements and data use. Your customer base is expanding and with it is growing the value of your data strategy. Find out from Olivier Rose how he is managing the change and building the value of data management: Measuring the value of data management to your business and to each user  Designing data use process to satisfy the different user requirements addressing the data quality challenge  Structuring SLA’s  Keeping flexible at minimum costs  Measuring change and improvement Olivier Rose Head of Projects & International Data Management, Societe Generale 14:30 Panel Discussion: Reviewing The Principles & Basis Of Your Data Quality & Data Governance Strategies Data Quality Strategies – The Business Imperative Amaury de Ternay, Partner, Asatys Consulting Llew Nagle, Instrument Data - Head of Consumer Service Management, Deutsche Bank Colin Rickard, Business Development Director, DataFlux Europe Panel Discussion: Reviewing The Principles & Basis Of Your Data Quality & Data Governance Strategies Amaury de Ternay Partner, Asatys Consulting Llew Nagle Instrument Data - Head of Consumer Service Management, Deutsche Bank Colin Rickard Business Development Director, DataFlux Europe 14:30 Panel Discussion: Justifying Your Technology Enhancements: Knowing What You Need & Showing The Business Benefit To The Management Data Architecture Strategies: What Works & What Doesn’t? Liam Davis, Senior Vice President, Head of Market Data, GTS Securities & Fund Services, Citi Nick Skinner, Vice President, Global Data Management, Operations & Technology, Northern Trust Having heard from Prof. Dave Cliff all about the future of technology and how it is impacting and driving progress in the world, join this session to discuss the practical realities. It is true, someone else will always have faster computers, bigger servers, smarter data management and tagging tools. Banks spend millions on upgrading, improving and renewing their systems. The question is not if you need to invest in technology, but how to do it smartly and without waste. This panel discussion is designed to give you the questions you should be asking when the next technology investment is in discussion, and to give you the strategies for choosing the right solution. You don’t need every magic trick on the market, you only need those that are going to make a difference to your particular data strategy. So what are they? How can you tell? Auditing your IT investments vs return  Taking a big picture look at investing in technology – what is the next big trend?  Cloud – good, bad or simply a must?  Integrating your IT investments with the overall strategy of your business  Avoiding silos – how much do they cost and what do you do to get rid of them?  Finding stuff you don’t need – what is not giving you ROI?  Measuring results – is your technology investment strategy on the right track? Liam Davis Senior Vice President, Head of Market Data, GTS Securities & Fund Services, Citi Nick Skinner Vice President, Global Data Management, Operations & Technology, Northern Trust

15:15 Afternoon Coffee & Networking Afternoon Coffee & Networking

Data Strategy As Business EnablerData Quality Strategies – The Business...Data Architecture Strategies: What Wor... 16:00 Panel Discussion: Driving Value From Data Management: Servicing External & Internal Customers With Quality Timely Data Data Strategy As Business Enabler Chris Johnson, Head of Product Management, Market Data Services, , HSBC Securities Services Sean Taylor, Director, Financial Intermediaries, Deutsche Bank Olivier Rose, Head of Projects & International Data Management, Societe Generale 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] Sean Taylor Director, Financial Intermediaries, Deutsche Bank Olivier Rose Head of Projects & International Data Management, Societe Generale 16:00 The Life Of Data: How To Make Sure You Know Your Data, Its History, Its Life & Its Future Data Quality Strategies – The Business Imperative Michael McMorrow, Enterprise Data Warehouse Manager, AIB Mike McMorrow has recently conducted a study of data in his bank, following the birth, life and death of data. This is a case study showing the results and interesting ideas this study produced. Join Mike to hear his views on the life of data and how it impacts the profitability of your business. His views are unusual and you are bound to get new ideas and practical tips to take back to the office. Learn about: Outlining the key goals of following the life of data  Designing a strong data monitoring strategy  Different data evaluation criteria  Making valuable conclusions from your findings – what does it actually tell you?  Changing the life of your data to make it more valuable and more useful Michael McMorrow Enterprise Data Warehouse Manager, AIB Download Michael McMurrow presentation on "Enriching Data Quality in Your Organisation"November 2010 16:00 Practical Ideas On Cost Savings In Data Management Data Architecture Strategies: What Works & What Doesn’t? Amaury de Ternay, Partner, Asatys Consulting This final session will give you practical tips, and easy to implement strategies for saving money in data management. Next time your management asks you to do more with less, you will have some great ideas up your sleeve to use. Amaury de Ternay will bring his vast experience of managing complex projects in a financial institution together with some unorthodox ideas on how to structure your enterprise to seriously cut the costs without cutting the quality. Plenty of real-life examples will give you an edge you need. Amaury de Ternay Partner, Asatys Consulting

16:45 End of Conference End of Conference