Conference Sessions - September 30, 2014
| Tuesday September 30 8:00-11:30 |
Registration | ||||||||||||||||
| Tuesday September 30 8:00-9:00 |
Continental Breakfast | ||||||||||||||||
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| Tuesday September 30 8:50-9:00 |
Welcome | ||||||||||||||||
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| Tuesday September 30 9:00-9:45 |
CDO Panel: Be Careful What You Ask For Moderator: Michael Atkin, Managing Director, EDM Council Panelists: John Fleming, Head of Data Governance, Bank of New York Mellon Corporation Ludwig D'Angelo, Executive Director, JP Morgan Chase & Co Executive Director John Bottega, Former CDO, Bank of America and Federal Reserve Bank of NY, Currently Senior Advisor, EDM Council Data management is a new reality for financial services companies. There is regulatory pressure for stress testing. There are new rules designed to promote global financial stability. There are many legacy repositories and a plethora of functions to unravel. There are social and political barriers to overcome. There are real IT challenges and execution gaps to address. Data ownership and accountability are hard to implement. The executive in charge of all this turmoil, process and policy is the Chief Data Officer. This panel of seasoned CDOs will share the inner truths and the “scars across the back” lessons about what is really required to implement a data control environment within dynamic organizations. Level of Audience: |
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| Tuesday September 30 9:45–10:15 |
KEYNOTE: Role of Reference Data Management in Data Governance Jeff Gentry, Director, Enterprise Data Governance, TD Ameritrade Conrad Chuang, Director for Product Marketing, Orchestra Networks Reference data management provides a data governance capability similar to the general ledger for financial management. You can live without it, but it’s hard to balance the books. It provides a means to govern how we classify, differentiate, reference, and analyze “things” represented by our data. Bringing together reference data into a single environment for governance and stewardship improves consistent use of the data, improves the quality of regulatory data, improves the results of analytics, improves interactions with our clients, and reduces the costs of data management. In a nutshell, it improves business outcomes. This address will provide concrete patterns for successful reference data management, and aspirational goals for ongoing value generation, covering the following topics:
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| Tuesday September 30 10:15–10:45 |
Coffee Break and Exhibits Open | ||||||||||||||||
| 10:45 - 11:30 CONCURRENT SESSIONS | |||||||||||||||||
| Tuesday September 30 10:45-11:30
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Operationalizing, Maturing and Sustaining a Data
Governance & Information Quality Organization: Achieving Measurable
Business Value Monica Richter, Senior VP, Standard and Poor’s Standard & Poor's Data Strategy and Operations (DSO) organization was formed in 2005 and immediately challenged the tradition of a two silo'd IT / business model. Since its inception, the DSO has grown to an organization capable of governing the data needs of S&P's worldwide ratings business, while achieving significant, measurable business value. The three pillars of the DSO (Data Stewardship, Data Operations and Data Assurance) have built strong partnerships with IT and the business. How did they do it? What was the basis of the DSO's success? How have they consistently matured the organization and ensured attainment of the intended business value? In this session, we'll cover:
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| Tuesday September 30 10:45-11:30
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Governance Risk and Compliance Robert S. Seiner, President/Publisher, KIK Consulting / TDAN.com The target of many a Data Governance Program is to nail their regulatory and compliance requirements first to appease the government and industry regulators before doing anything else. Risk Management, as a practice, is already in place in most organizations under a variety of names. Even though most organizations do not consider Risk Management the same thing as Data Governance, the similarities abound. Compliance is not optional. Nothing about Regulatory and Compliance mentions optional. Governance is not optional either. The session will cover:
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| Tuesday September 30 10:45-11:30
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Business Driven Data
Governance – Led by Business in Partnership with Technology Peter Kapur, Director Data Governance, Quality and Analytics, The Depository Trust and Clearing Corporation (DTCC) We will discuss several initiatives in DTCC that were successful using the principles of creating Lean but inclusive Governance Structures that are Business driven in partnership with Technology. At DTCC, we apply business value criteria to determine what business area or data needs to be managed beyond a localized view. The Data Governance Council and Data Governance Advisory are Business led but inclusive of all functional areas of the company and cater to stakeholder needs. The DTCC approach:
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| 11:40 - 12:10 DG SOLUTIONS | |||||||||||||||||
| Tuesday September 30 11:40–12:10
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Regulation and Data Governance: Rolling out the Data Stewardship Organization Stan Christiaens, Co-Founder and Operational Director, Collibra The current regulatory climate in financial services has become very demanding: more regulations by more regulatory bodies asking for much more data points at a much higher frequency. Common sense regulations like BCBS239 go to the core of the data management challenge: are we treating our data assets well, and can we monitor the level of control? Smart firms understand how much data drives business, and how the business drives data. These firms seize the regulatory climate as an opportunity: mature the data organization to drive strategic differentiation. In this session we will show how firms at the leading edge are effectively building out their Business Data Authority, an organization around data with leadership (Chief Data Officer) and operational roles (Data Governance Manager, Data Stewards), and how they are using Collibra’s Data Governance Center as a technology enabler to help drive those changes throughout the organization. Level of Audience: |
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| Tuesday September 30 11:40–12:10
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Insurance Domain Success Story Michael Davis, Data Quality Center of Excellence Engineering Lead, Cigna Sid Banerjee, Sales and Business Development, Compact Solutions The large insurance company’s Data Governance program focused initial efforts on improving the understanding of data between business and technical users. One of the key elements of this initiative was end-to-end data lineage, allowing users to track data flows all the way from a BI report to the warehouse to the ETL to the source system of records. What attendees will learn from this session: The approach used to deploy an Enterprise Data Governance program and technology, based on deep understanding of the computer systems and data flows, to truly understand how does data flows and how it has been derived from the sources. We will showcase end-to-end lineage from Cognos, Informatica, and SQL scripts. Level of Audience: |
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| 12:20 - 12:50 DG SOLUTIONS | |||||||||||||||||
| Tuesday September 30 12:20–12:50
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Reference Data Management in the Financial Enterprise Conrad Chuang, Director for Product Marketing, Orchestra Networks The oft-quoted verse “For the want of a nail the shoe was lost” highlights how seemingly small things can have an outsized impact. In the Financial Services enterprise, no “small thing” is as important or frequently overlooked as the reference data that is used to provide the fundamental classifications that are foundational to operational efficiency, risk data aggregation, and reporting. In this session, Conrad Chuang will describe the scope of reference data in the financial services enterprise, the criticality of effectively governing shared reference data as an enterprise asset, and provide a brief demonstration of how Orchestra Networks’ EBX5 software is being used to provide effective governance and control of enterprise reference data, including business glossary, authoring, workflow, versioning, and hierarchy management capabilities. Level of Audience: |
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| Tuesday September 30 12:20–12:50
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How Fact-based Analysis Can Drive Data Governance, Culture Change and Support BCBS 239 Compliance Jon Asprey, VP Strategic Consulting, Trillium Software With BCBS 239 looming, one-third of recently surveyed banks said they would not meet the January 2016 deadline. Regulators are expecting financial institutions to have a robust data governance process in place as part of their risk management framework. Forward-thinking firms will develop sustainable processes to not only meet the regulators’ requirements but also to drive tangible business benefits including reductions in cost, improvements in customer service, and improved operational efficiencies. In this session you will learn:
Attendees 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. Level of Audience: |
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| Tuesday September 30 12:50–2:00 |
Lunch - Exhibits Close at 2:00 | ||||||||||||||||
| 2:00 - 2:45 CONCURRENT SESSIONS | |||||||||||||||||
| Tuesday September 30 2:00–2:45
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A Day in the Life of a Chief Data Steward Barbara Deemer, Chief Data Steward, Navient As the winner of the first annual Stewardship Award, Barbara Deemer has been successful as the Chief Data Steward of Sallie Mae for the last 4 years. Attend this session to hear her practical advice and lessons learned. Topics to be covered include:
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| Tuesday September 30 2:00 –2:45
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Basel Regulation: Data Management is Risk Management Bhaskar Kuppusamy, Managing Partner, Aikya Incorporated The recent CCAR results have highlighted that the capital buffers are "necessary but not sufficient" conditions for a financial institution to be resilient and pass the Basel compliance tests. In this presentation we take a holistic view of Basel III components and demonstrate how data governance and data quality are integral to risk management, compliance, and CCAR. Topics include:
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| Tuesday September 30 2:00–2:45
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The Financial Industry Business Ontology and What it Can Provide to Your Data Management Program David Kowalski, Founder, MIDAS Advisory Services LLC As the global financial landscape grows increasingly inter-connected and mutually dependant, the need for regulators to rapidly assess the health of the market is becoming increasingly complex. They, in turn, are demanding that large financial institutions exhibit a deeper-than-ever understanding of where their data is stored, exactly what it means and how they can rapidly aggregate it to assess potential stress situations. In trying to respond to these demands, traditional data management environments are starting to be stretched to a breaking point. The Financial Industry Business Ontology (FIBO) is intended to support institutions both by providing standardized definitions of instruments and parties within the financial space and by leveraging the power of semantically enabled data stores to facilitate the aggregation of data across disparate sources and to provide a degree of assurance that that data is being used in accordance with pre-defined business rules. This talk will provide a brief overview of what we mean by semantic data stores and what they can provide. We'll then move on to discuss the current state of FIBO, talk about what it might take to implement it in your institution and examine some of the benefits that such an implementation can provide not only in your regulatory compliance efforts but within your data management program in general. No prior knowledge of semantics is required. Level of Audience: |
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| Tuesday September 30 2:45–3:00 |
Coffee Break | ||||||||||||||||
| 3:00 - 3:45 CONCURRENT SESSIONS | |||||||||||||||||
| Tuesday September 30 3:00–3:45
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Data Governance and Analytics: Governing the Transformation of Data into Dollars Jaime Fitzgerald, Founder and Managing Partner, Fitzgerald Analytics When data is used well, the results are game-changing. Yet the ugly secret is that most efforts to “compete on analytics” fail to achieve their full potential, leaving millions of dollars in potential profits on the table. The majority of these failures can be avoided through better governance of the ways in which data is acquired, managed, analyzed, and used. This presentation will focus on 5 key reasons analytics projects fail and the governance best practices that address these root causes to enable more successful analytic initiatives. The presentation will include examples from the presenter's 17 years of experience advising financial services firms in their use of data and analytics to improve results. Level of Audience: |
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| Tuesday September 30 3:00–3:45
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Data Governance and Data Management Capacities Needed for
BCBS 239 Malcolm Chisholm, President, AskGet Inc BCBS 239 is a global regulation that has very specific implications for the financial services industry. Although it applies to global systemically important banks, and companies they outsource to, it is likely to be the regulatory foundation for the entire industry going forward. This presentation examines each of the 14 principles in the regulation, and what data management and data governance capabilities are required to implement them. More detailed specifics have been provided by BCBS beyond the 14 principles, and these are reviewed also. The data management and governance challenges to implementing the principles is also examined, particularly in regard to the current state of data management. The importance of the results of the BCBS's 2013 survey of the state of the industry is also analyzed. Attendees will learn:
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| Tuesday September 30 3:00–3:45
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Two Perspectives: Risk
Reduction and Value Delivery Dan Meers, President, K2 Solutions Michael Nicosia, VP, F&A Strategy, Planning & Data Governance, TIAA-CREF Data Governance programs typically have a primary focus, such as value delivery for business impact, or policy compliance for regulatory relief, how do these compare, must they be completely distinct? Financial institutions are maturing their initial data governance and quality programs, some have committed to permanent business functions and others have multiple projects under a programmatic umbrella, what outcomes do these target? Specific methods, reasoning and outcomes are compared and contrasted to highlight the impact of targeting data governance to reduce risk or increase value delivery. The continuum between compliance and value is very broad so we use examples to highlight the differences as well as similarities. Level of Audience: |
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| 4:00
- 4:45 KEYNOTE PANEL |
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| Tuesday September 30 4:00–4:45
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KEYNOTE PANEL: Tips from the Trenches - Lessons Learned from Successful Practitioners in Implementing Data Governance MODERATOR: Jaime Fitzgerald, Founder and Managing Partner, Fitzgerald Analytics PANELISTS: Michele Koch, Director, Enterprise Data Management, Navient Monica Richter, Senior VP, Standard and Poor’s Michael Nicosia, VP, F&A Strategy, Planning & Data Governance, TIAA-CREF This panel will address the unique challenges of the financial sector in implementing data governance programs. Topics include:
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