FIMA 2014 (past event)
12 - 13 November, 2014
12 - 13 November, 2014 | QEII Conference Centre, London
Day 1
08:00 - 09:00 Coffee & Registration
• The roundtable of your choice
• The workshop of your choice
• The drop in clinics taking place during the day
Spaces are limited and on a first come/first served basis
09:00 - 09:05 Welcome to FIMA
Claire Barnes
DirectorFIMA
09:05 - 09:20 Chair’s Welcome Address
09:20 - 10:00 CDO Interview: How to successfully communicate and manage the expectations of your board
10:00 - 10:45 Keynote Panel: The role of Chief Data Officer – what is achievable in 2015 and how?
Lorraine Waters Group Deputy Chief Data Officer and Global Head of Data Governance HSBC
Diarmuid O'Donovan Chief Data Officer Legal & General Investment Management
Ken Napolitano Global Head of Sales, Enterprise Content and Distribution Bloomberg
Moderator:
Alan Paris Global Head of Financial Services Consulting & Global Account Manager Finan eClerx
ages. A company's data has value. However, to date, data assets have not been shown directly on company books, although it is sometimes there as goodwill or is partially reflected
in the price of the stock. How, as a community, do we value our arguably most profitable commodity Data, and what is the point of having a Chief Data Officer? Attend this keynote panel to discover the views of leading CDOs. Take their feedback to your board of directors and, who knows, perhaps your business will change its approach to the value of data.
• Identifying the main challenges facing the CDO
• Is CDO following in the footsteps of CIO
• Why should CDO be on the board of every financial institution?
• Relating data maturity to the role and practical goals of the CDO
• Some argue that CDO is an impossible job with an impossible task – true or false?
• Looking into the future role of CDO and data in business
Alan Paris
Global Head of Financial Services Consulting & Global Account Manager FinaneClerx
Stream A
10:45 - 11:25 Networking and Morning CoffeeStream B
10:45 - 11:25 DROP-IN CLINICS – Spend 15 minutes with an expert!Llew Nagle Head of Data Quality Deutsche Bank
Francis Gross Head of External Statistics, Directorate General Statistics European Central Bank
Emma Ede Head of Data Governance & Operations, Data Management, Investment Operation M&G Investment Management
Silvano Stagni Group Head of Marketing & Research Hatstand
Graham Downie Market Data Relationship Manager Standard Life
1. Data governance: Expert -Emma Ede, Head of Data Governance & Operations, Investment Operations, M&G Investments
2. Structured and unstructured data: Experts: Llew Nagle, Head of Data Quality & James Longstaff, VP, Data Architecture, Deutsche Bank
3. MiFid II Expert: Silvano Stagni, Group Head of Marketing & Research, Hatstand
4. Licensing of index data and commercial policies: - Graham Downie, Market Data Relationship Manager, Standard Life Investments
Francis Gross
Head of External Statistics, Directorate General StatisticsEuropean Central Bank
Emma Ede
Head of Data Governance & Operations, Data Management, Investment OperationM&G Investment Management
11:25 - 12:10 The Big Question Panel: The new managed utility model vs managed services – which is truly best for your business?
• What is the true difference between managed utility and managed services models?
• Evaluating the business benefit of managed utility – is it really impacting your P&L the way it is supposed to?
• Estimating and managing the risk of the utility model – can the first mover advantage bring you benefit?
• Using utilities for regulatory compliance – panacea for all headaches?
• What are the main challenges for data vendors and how are they adapting to the new environment?
12:10 - 13:20 Network Lunch
Stream A - Governance and Data Architecture
13:20 - 13:30 Chair's opening remarksStream B - Data Quality and Standard
13:20 - 13:30 Chair's opening remarksAlan Paris
Global Head of Financial Services Consulting & Global Account Manager FinaneClerx
Stream C - Regulations and Compliance
13:20 - 13:30 Chair's opening remarksStream D - Business Strategy
13:20 - 13:30 Chair's opening remarksStream A - Governance and Data Architecture
13:30 - 13:50 Creating a data governance strategy and process that effectively supports both back and front office needs• Debating the real and perceived role of data governance – does it make us any money?
• Setting clear achievable data governance goals – what is the point?
• Implementing an effective set of common rules – can everyone follow the same rules and should they?
• Getting your architects and IT to support your strategy – main challenges
Stream B - Data Quality and Standard
13:30 - 13:50 Dealing with the regulatory challenge to reduce risk and miximise efficiency: practical approach• What are you missing from data and how to use it more effectively?
• Do you need all the data you have?
• How is data changing our business behaviour and decisions?
• Are we relying too much on data?
• How will data change with the growing volumes – will we ever start ignoring it?
• What will your data and your data analytics capability look like in 10 years – can you even guess?
Stream C - Regulations and Compliance
13:30 - 13:50 Regulatory data management: 2014 helicopter viewDealing with this deluge with a page-by-page, regulation-by-regulation approach is becoming impossible as the G20 commitments become spread across many rulebooks. This means that firms trying to tackle the changes one-by-one will end up with sky-high implementation costs and conflicting priorities - unless they take action now to pull it all together.
What is needed in this space is a consolidated approach, which looks at how regulation as a whole aligns, by examining overlapping requirements for their lowest common denominators.
In our presentation, we cover 300,000 pages of regulatory reform via a top-down ‘helicopter view’ to see, not only the ‘here and now’, but the full landscape including:
► Trading: OTC (EMIR/DFA/equivalents); MiFID II/ MAR; MAD; AIFMD
► Risk: Basel III/ CRD IV; fund reporting; Solvency II
► Financial crime: FATCA, AMLD IV, Bribery Act, sanctions regimes
► Structural: Volker, Vickers, data protection, benchmarks, CRAs, accounting standards.
As we take you through what is being asked, we will point out the key ‘deltas’ between different global regulatory requirements and point out the key milestones – and landmines – on the road ahead.
If you want to know what the unknowns are in your 2014 operations, data and technology challenges, don’t miss this discussion.
Stream D - Business Strategy
13:30 - 13:50 Flash Panel: How can managed services add value to your business? Examining the real pros and consDavid Berry Market Data Global Sourcing IPUG COSSIOM FISD Exec Committee
Speakers:
Preetham Kamesh Head of Data Management Services Business Unit IGATE
Nigel Matthews Director Data Operations Strategy and Change Barclays
Sudhir Singh Chief Operating Officer, Capital Markets Business Genpact
Adam Devine VP Product Marketing & Partnerships Work Fusion
Stream A - Governance and Data Architecture
13:50 - 14:10 The customer approach to data: Integrating different data sets whilst increasing transparencyConnecting data sets will increase business value and help you discover interesting relationships amongst them. Most of your internal and external customers will expect true data interoperability nothing less.
Are you prepared for these requirements?
Are all of your data sets talking to each other and can you see them all on one picture?
The most likely answer is no. This is why you can’t miss the strategies and ideas from Jop Boonstra, who has been focusing on this mammoth task with great results and interesting insights.
• Identifying the goals of common data sets
• What are the customers’ needs and future needs?
• Establishing common standards for data sets – is it even possible?
• The challenge of aggregating data from multiple sources
• Rationalising data – do you need it all and why?
• Aligning your data sets strategy with existing architecture and IT capability
Jop Boonstra
Market & Static Data Services, Corporate and Investment BankingStandard Bank Group
Stream B - Data Quality and Standard
13:50 - 14:10 Leveraging Data Standards to Improve Data QualityBeing able to access high quality reference data is of significant importance to the financial industry not least in the context of ever evolving regulatory requirements. However views on what constitutes high quality can differ from one user to the other and is subject to interpretation. Developing and applying data standards can help to overcome these hurdles and can be used to facilitate consistency in interpreting the meaning of data.
SIX Financial Information has developed a prototype internally demonstrating the benefits of applying data standards to large volumes of reference data, which can also be measured through a set of corresponding KPIs. Further analysis of any inconsistencies with the standard can be used to define targeted measures to improve data quality in a sustainable way.
- The importance of data quality
- Different perspectives on data quality
- The role of data standards
- Real world examples of data standards
- Measuring consistency with the standard (KPIs)
- Deriving sustainable quality improvement measures
Stream C - Regulations and Compliance
13:50 - 14:10 Case Study: How to build and leverage a single, centralised data store to solve complex ongoing regulatory complianceRegulatory upheaval, converging compliance implementation deadlines and a strong focus on improving transparency, visibility and accuracy are creating a regulatory and data management ticking time-bomb for a lot of financial institutions.
During this session, you will learn how by leveraging a single, centralised data store you can satisfy up to 80% of regulatory data demands. Drawing on the experiences of recent client implementations, Fenergo’s Marc Murphy will share a best practice approach to leveraging the data and documentation already held in various repositories to solve multiple regulatory demands. You will learn about new data architecture practices within the information flow that effectively links the regulatory and data demands, such as:
• How to identify the data commonalities and calculate the small delta between multiple regulations such as KYC, AML, as well as classification and OTC derivative regulations such as FATCA, Dodd-Frank, EMIR, MiFID II, ASIC etc.;
• How 80% of the data and compliance requirements can be solved at the same time using the same team, budget, implementation programme;
• How incorporating a rules-driven approach to regulatory data management can determine the availability and delta of your data demands – i.e. the data and documentation artefacts that are currently available for re-use within your financial institution and those that remain outstanding for collection (the delta);
• How to implement a lifecycle approach to data and compliance management to ensure continued high quality data and compliance with all existing and emerging regulations.
Stream D - Business Strategy
13:50 - 14:10 Stream D continuedStream A - Governance and Data Architecture
14:10 - 15:00 Flash Panel: Combining off the shelf with in-house solutions – how do you get the best of both worlds?• Evaluating your current systems to assess the need for change – what do you need?
• Measuring risk of choosing off the shelf vs in-house solution
• Comparing costs vs value
• Integrating off the shelf solutions with business process
• Tweaking and customising off – the shelf solution to your business needs
• Measuring success – did you get 90% of what you needed?
Lakshmi Thyagarajan
Client Reference Data Business ArchitectCredit Suisse
Stream B - Data Quality and Standard
14:10 - 15:00 Flash Panel: Weighing costs vs benefits of managed utility modelSue Baldwin Head of 3rd Party Oversight J.P. Morgan
Catriona Baldwin EMEA Head of Client Data Change Credit Suisse
Adam Cottingham Vice President, Data Management Services SmartStream
Jonathan Clark Head of Financial Services Tech Mahindra
Moderator:
Alan Paris Global Head of Financial Services Consulting & Global Account Manager Finan eClerx
Catriona Baldwin
EMEA Head of Client Data ChangeCredit Suisse
Alan Paris
Global Head of Financial Services Consulting & Global Account Manager FinaneClerx
Stream C - Regulations and Compliance
14:10 - 15:00 Flash Panel: Assessing the strategic development and direction of Global LEIs – the true implications to your data businessFrancis Gross Head of External Statistics, Directorate General Statistics European Central Bank
Paul Janssens LEI Programme Director Swift
Colin Ware Industry & regulatory engagement group, Data systems and insight office Barclays
Gerard Hartsink Chair GLEIF
Anastasia Dokuchaeva Sales Specialist FactSet
Moderator:
Adam Markson Managing Director Accenture Finance & Risk Services
Francis Gross
Head of External Statistics, Directorate General StatisticsEuropean Central Bank
Adam Markson
Managing DirectorAccenture Finance & Risk Services
Stream D - Business Strategy
14:10 - 15:00 Drill Down RoundtablesTake this opportunity to have in-depth discussions with like-minded industry peers facing the same issues. There is no better chance to find out how others have overcome the roadblocks to data management and counterparty risk. You have come to FIMA with questions. Make sure you leave with the answers by taking advantage of this unique portion of the program.
Roundtable 1 – MiFID II
Moderated by: Silvano Stagni, Group Head of Marketing & Research, Hatstand
Roundtable 2 – Solvency II – key considerations for Asset Managers
Hosted by: Chris Johnson, Head of Product Management, Market Data Services, HSBC Securities Services
Roundtable 3 – AIFMD
Moderated by: PJ Di Giammarino, CEO, JWG Group
15:00 - 15:40 Afternoon Coffee & Networking
Stream A - Governance and Data Architecture
15:40 - 16:00 Integrating datasets and models in one platform• increase data transparency
• improve process efficiency and data quality
• minimise operational errors.
Stream B - Data Quality and Standard
15:40 - 16:00 Just the facts - How fact-based analysis can drive data governance, culture change and support BCBS 239 complianceIn this session you will learn :
• The importance of using a fact-based analytical approach to drive data governance
• How to overcome the challenges associated with establishing the necessary culture change
• Tactics to accelerate business buy-in and foster collaboration between business silos
Delegates will discover that deploying an effective data governance program is not as simple as just defining policies and procedures; it will only succeed with business engagement and collaboration.
Stream C - Regulations and Compliance
15:40 - 16:00 The convergence of KYC and reference dataA. processes differ between departments exposing regulatory, credit and counterparty risk;
B. communication between different parts of a firm about clients and counterparties is difficult;
C. upselling and cross-selling is difficult;
D. multiple, independent data silos lead to all sorts of errors.
This isn’t easy to fix. Onboarding data turns into reference data, and reference data changes all the time. Changes to reference data should be sent back to the compliance team, mainly to understand how the client or counterparty’s risk may have been changed. I’m going to show some data that illustrates why this is so important.
• KYC and Reference Data are Converging
• Reference data changes all the time; this effects risk levels
• Increased regulatory pressure to get this right
• What should be done?
Stream D - Business Strategy
15:40 - 16:00 Synergy Workshop: Designing and implementing a complete and meaningful representation of data lineageStream A - Governance and Data Architecture
16:00 - 16:55 Flash Panel: Redefining what practical data governance truly means to you and your businessJop Boonstra Market & Static Data Services, Corporate and Investment Banking Standard Bank Group
Peter Ku Head of Industry Consulting & Financial Services Strategist & Evangelist, N Informatica, LLC.
Roy Williamson Global Head of Sales Bloomberg Polarlake
Dennis Slattery CEO and Chief Data Architect EDMworks
Moderator:
Andre Kelekis Independent Consultant //
Jop Boonstra
Market & Static Data Services, Corporate and Investment BankingStandard Bank Group
Peter Ku
Head of Industry Consulting & Financial Services Strategist & Evangelist, NInformatica, LLC.
Roy Williamson
Global Head of SalesBloomberg Polarlake
Dennis Slattery
CEO and Chief Data ArchitectEDMworks
Stream B - Data Quality and Standard
16:00 - 16:55 Flash Panel: How can you best take advantage of data maturity in your business?• Identifying different levels of data maturity in financial institutions
• Evaluating the levels of maturity of your data across the business
• Building a pan-enterprise data maturity model – how to best take advantage of it?
• Benchmarking against different maturity models
• Looking at your data holistically
• Remodelling your data for the real world scenario - governance policies and procedures, ensuring customer centricity of your data capability
Alan Paris
Global Head of Financial Services Consulting & Global Account Manager FinaneClerx
Ewan McAllan
Head of Data Quality AssuranceHSBC Bank
Stream C - Regulations and Compliance
16:00 - 16:55 Flash Panel: Dealing with your regulatory challenges - is there a way to make it more manageable?Derek Drummond Business Analyst, Change Team Standard Life Investments
Sophie Rutherford Deputy Head of Risk & Control, Transaction Management Group, Markets & Inte RBS
Parag Pawar Practice Director, Banking and Financial Services Hexaware Technologies
Moderator:
Adam Markson Managing Director Accenture Finance & Risk Services
• Tackling the immediate needs while looking into the future
• Working with the regulators – can they make your life easier?
• Building on the existing infrastructure and platforms
Consolidating your regulatory burden
Sophie Rutherford
Deputy Head of Risk & Control, Transaction Management Group, Markets & InteRBS
Adam Markson
Managing DirectorAccenture Finance & Risk Services
Stream D - Business Strategy
16:00 - 16:55 Stream D continued16:55 - 17:30 Learn from another industry
Mastering the journey to a data-driven organization: bridging the gap between data, people and technology
FIMA 2014 is introducing a series of new formats, including several sessions dedicated to learning from another industry. These sessions are designed to bring you the most interesting and innovative data management strategies from other industries. You will find insight from colleagues in the public service, transport, retail, charity and other sectors, who are often using data in different ways than banks and asset managers. These case studies will be prepared especially with the FIMA 2014 delegates in mind, only giving you the best and most useful information, analysis and tools. Bring colleagues to attend all sessions that run in parallel and you will get the 100% value from the agenda.
Mastering the journey to a data-driven organization: bridging the gap between data, people and technology
Sometimes businesses with retort: ”I don’t think my company can jump into this yet.” They then rattle off three reasons why their organization is not ready for Big Data. Today there is no excuse for the average enterprise to delay the journey of turning the wealth of information surrounding their business into additional profit.
The 3 myths about data are, and most organisations defend their inaction with the following:
Myth No. 1: We Don’t Have 'Big' Data, Only 'Small' Data. - Most enterprises have a data management problem. - While a typical enterprise data warehouse may be in the 10 to 50 terabyte range, the objection that “our organization only has small amounts of data, not petabytes” overlooks a few key points.
Myth No. 2: We Don’t Have the Big Budgets Required for Big Data. - But there is open source software that provides at least a 10x price performance improvement.
Myth No. 3: We Don’t Have the Data Scientists Required for Big Data. - You don’t need data scientists to start realizing substantial value.
Take an unnamed cable operator with annual operating expenses of roughly 500 million dollars to cover maintenance, repairs and overhaul of its cable network including the associated call centres. If a single data scientist is able to reduce these operating expenses by only one percentage point, the data scientist will have more than paid for themselves. Sounds interesting? If you would like to hear about the experiences of data management and data governance in the world of telecommunications, as well as find out the ideas and the vision behind the next big change in data, then this talk is not to be missed!
Dr. Mazin Yousif
Chief Technology Officer and Vice President of ArchitectureT-Systems, International