Conference Sessions - September 13, 2012
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Welcome |
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| KEYNOTE: Enterprise Data Governance at Citi Eric Chacon, Global Head of Business Data Management, Citi Chief Data Office Citi's enterprise data governance program is a response to regulatory obligations and management imperatives that arose out of the Financial Crisis and our ongoing strategy to fully leverage business capabilities across silos and to achieve optimized economies of scale. We are two and a half years into our journey and have identified patterns we believe to be leading practices for business data governance in the financial services space. Our experience has also given us insight into the critical success factors for enterprise data governance including how we understand the business value of data and how to integrate data governance with existing disciplines of organization, process, and technical governance. |
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| KEYNOTE: Integrated Information Governance: The Measurable Value of Integrating Quality, Lifecycle and Data Security Karl Wehden, Information Governance Strategist, IBM In this session Karl will discuss successful implementations of Information Governance strategy, and explore some of the deeper relationships between Information Governance disciplines and how to leverage them in your organization. The discussion will focus on balancing the demands placed on Information Governance to create higher, measureable yields. The discussion will cover:
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| 10:45 - 11:15 CONCURRENT SESSIONS | ||||||||||||||||||||
Thursday
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Award Winning
Data Governance In this session, learn how Sallie Mae, the winner of the 2011 Data Governance Best Practice Award, deployed a strong Data Governance Program to solve enterprise boundary-spanning data issues by pulling together the pieces of the data puzzle. Attendees will learn:
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Thursday
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Legal Entity Identifiers: A Linchpin for Financial Data The financial industry, like many others, is powered by information and data. A number of government agencies, quasi-government agencies, and private companies collect, process, use, and distribute information about a variety of players in the financial world. While the subjects of the data (balance sheet items or counterparty information, for example) may vary dramatically by agency and use, they all describe a particular financial institution or legal entity. Yet a standard way to uniquely identify one financial entity from another does not currently exist. A Social Security number distinguishes one John Smith from another John Smith, but at present no single identifier distinguishes one First National Bank from another. Several private companies have developed proprietary identifiers created for their own purposes but none of those identifiers are industry-wide, universal, available without restriction, or strictly focused on identifying a specific institution. Since September of 2011 the Financial Stability Board has been working to assist in the creation of Legal Entity Identifiers (LEI) as an international numbering system. The LEI is being designed to address the need for unique and unambiguous identification of entities globally. The papers “Creating a Linchpin for Financial Data: Toward a Universal Legal Entity Identifier” and “Legal Entity Identifier: What Else Do You Need to Know” map out key characteristics for an LEI system. The discussion will cover the need for an LEI system, key characteristics of the system and suggested reference data, current status of the international project, and expectations for the future. |
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| 11:25 - 11:55 CONCURRENT SESSIONS | ||||||||||||||||||||
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The Future of Data Governance Why - How - What Sean Kimball, Chief Architect and Chief of Data Strategy, MetLife Investments This session will focus on MetLife Investment’s Data Governance Program. Topics that will be discussed:
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Thursday
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Governance Artifacts that Add
Value to Financial Companies Robert S. Seiner, President/Publisher, KIK Consulting & Educational Services and The Data Administration Newsletter (TDAN.com) Financial companies implementing Data and Information Governance programs are using artifacts that are byproducts of their programs to formalize, manage and communicate the most important aspects of their programs. These artifacts, developed internally, are quickly becoming the face of Governance to their organizations and are becoming the backbone of demonstrating value specifically for the Financial industry. This session will feature Case Studies from the Financial Services Industry while sharing several artifacts and their development process. Lastly this session will demonstrate how these tools are adding value to these companies. Expect to walk out of this session with several new ideas for adding to your Governance Tool Kit. |
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| 12:15
- 12:45 DATA GOVERNANCE SOLUTIONS |
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Thursday
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LEIXREF - A Methodology for Cross-Referencing LEIs with Enterprise Data Assets Arka Mukherjee, Founder and CEO, Global IDs In order to adopt and utlize LEIs, financial institutions will need to cross-reference their existing IDs with LEIs. This can be challenging for those institutions that have complex data landscapes, where core reference data (for legal entities, customers, accounts etc) is distributed across thousands of databases. This presentation will describe a systematic, automated, software-based approach to integrating LEIs with enterprise data. |
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Thursday
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Data Governance in Financial Services: Managing People, Process and Systems towards Regulatory Compliance Growing regulatory compliance pressures is one of the main drivers for Data Governance within the FSI. The most effective and proactive manner in dealing with current, planned, and any future regulation is an improved and structured way of dealing with your data and increasing your data maturity level. This includes harmonizing both people, processes and technology. In this session you will learn how to automate your data governance program, taking away the pain of stakeholder coordination through software supported Data Stewardship Management. |
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| 2:00 - 2:30 CONCURRENT SESSIONS | ||||||||||||||||||||
Thursday
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Using
Data Governance Principles to Deliver Trustworthy Financial Information Sometimes Data Governance must take root in a tactical initiative in order to thrive. At ING, this initiative was a data warehouse project challenged with getting controlled, reconciled and timely information to its business users. Kenneth Viciana, Head of Data Management at ING Investment Management, will describe how he used data governance principles to deliver trustworthy financial and accounting information to ING. |
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Thursday
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The Effects of Regulations on Data Governance in
Financial Services Regulation, both in the US and outside of it, has begun to focus on data management, and is presenting new challenges for data governance in the financial sector. Regulators are now extremely interested in issues relating to data, and have begun to specify rules around data quality, data policies, data semantics and other areas. Furthermore, a shift from regulatory reporting to oversight means that regulators can ask for data, rather than summary reports. To accommodate this new regulatory approach data governance in financial services will have to change. This presentation examines what is involved in this change. The difficulties of going from legislation or regulation to actual controls in data environments is discussed, along with the need to accommodate regulation coming from outside the US. The principal areas of regulatory focus are examined and the capabilities that data governance must create are described. Unfortunately, existing capabilities (such as for data quality) cannot always be leveraged to address these new areas, and in many cases the capabilities needed are completely new. Attendees will learn:
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| 2:40 - 3:10 CONCURRENT SESSIONS | ||||||||||||||||||||
Thursday
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Analytics: Governance of the Transformation of Data to Dollars Data is the ultimate intangible asset: worthless is raw form, yet priceless when used well. Financial services companies depend on analytics to transform troves of data into business advantage, insight, and profits. Yet the ugly secret is that most analytics project fail to achieve their full potential, leaving millions of dollars in potential profits on the table. Based on more than 15 years helping financial services firms unlock new profits using analytics, technology, and process enhancements, Jaime Fitzgerald will discuss best practices in governing what he calls the Data to Dollars Value Chain, the journey from raw data to concrete business impact. This presentation will feature battle-tested frameworks, best-practices, and processes you can use to improve results of analytics projects, functions, and investments. The content will be illustrated using case studies from retail banking, brokerage, credit card, and insurance clients. |
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Thursday
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Using
EDM Council’s Financial Industry Business Ontology (FIBO) for Effective Data
Management Frank Lemieux, VP Financial Services Solutions, Adaptive, Inc. The Enterprise Data Management Council (EDMC) has selected a standards-based semantic repository to support their Financial Industry Business Ontology (FIBO) initiative. The focus of this program is to standardize the terms, definitions and relationships for all reference and market data entities and attributes used by the financial services industry for business processing, investment decisions, scenario modeling, risk management, portfolio valuation and reporting. In this presentation, you will learn how financial services organizations can leverage ontologies such as FIBO to establish a core set of rigorous business rules for relating and managing the information assets that exist in their current business and technology environments. |
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| 3:35
- 4:05 DATA GOVERNANCE SOLUTIONS |
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Thursday
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Maximize your Information Governance Investment & Accelerate ROI Michael Martin, Information Governance Practice Director, BTRG The average data breach will cost and organization $6.75 Million. The risk of doing nothing far exceeds the cost of implementing data privacy and security policies. IBM Premier Business Partner, BTRG, will discuss the best practices for implementing actionable information governance policies. BTRG employs a solution-driven approach by building and implementing information governance from the ground-up, versus the top-down approach which appoints data stewards and an information governance council. The solution driven, build from the ground-up approach, has proven to be far more successful in sustaining continuous information governance policies and procedures. To support BTRG’s solution-driven approach, we will highlight a recently completed information governance project where BTRG implemented the Data Masking Factory™. The Data Masking Factory™ is an IBM recognized and awarded solution that economically masks data, enterprise-wide, for a fraction of the cost of traditional data masking solutions. This project completed 2 weeks ahead of schedule, 40 percent under budget, privatized 18 applications in 14 weeks while providing the customer with $22 Billion worth of data protection. Objectives:
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Thursday
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Achieving Agility in the Financial Services Geoff Malafsky, CEO, Phasic Systems Inc Corporate data systems are plagued by redundant and low-quality data preventing effective data governance, data consolidation, Master Data Management, and data standardization. The biggest obstacle to successful data governance is the inability to determine the true meaning of data elements in a business context so standardized definitions and business rules can be created and used across business groups. Traditional Approaches are impractical for enterprise scale deployment because they require too much time, money and effort. Businesses need an Agile approach to match design and development time with accurate, common, consistent data on the timescale of business decisions and operations. This presentation will focus on the following:
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| 4:20 - 5:00 | ||||||||||||||||||||
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KEYNOTE PANEL: Challenges of Data Governance in the Financial Sector This keynote panel will address the unique and demanding challenges that the financial sector faces with implementing data governance. Topics include:
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