Tutorials - October 5, 2017
| Thursday October 5 7:45-4:30 |
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| Thursday October 5 7:45-9:00 |
Continental Breakfast | ||||||||||||||
| 8:45 - 11:30 MORNING TUTORIALS | |||||||||||||||
| Thursday October 5 8:45-11:30
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T1: Successful
Data Stewardship in Financial Services David Plotkin, Director of Metadata Services, MUFG More and more companies in financial services are coming to terms with the fact that they need to have a data stewardship function in order to be effective in collecting metadata (including definitions, derivations, and data quality rules), MDM, and data quality. A lot has been said and spoken about why stewardship is important, but HOW do you do it and be effective with limited resources (in the “real world”)? This presentation details how a to set up a data stewardship in the financial sector, how to run it, the details of managing the stewardship committee, recruiting help from IT for technical stewards, what the duties of the data stewards are, and what decisions they have to make. In addition, it covers how to staff projects for stewardship and funnel the information from projects back into the overall stewardship process. You will learn:
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| Thursday October 5 8:45-11:30
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T2: Data Governance in a Box for DFAST and CCAR Compliance Sunil Soares, Founder and Managing Partner, Information Asset This tutorial will review an end-to-end approach to operationalize data governance for DFAST and CCAR compliance. Topics include:
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| Thursday October 5 8:45-11:30
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T3: Successful Data Governance for Data Lakes in Finance Malcolm Chisholm, Chief Innovator Officer, First San Francisco Partners
Data Lakes are becoming increasingly common in financial services companies, and they present a new level of challenges for Data Governance. Data Governance is essential for the success of a Data Lake, but must overcome a number of challenges. For instance, financial services companies have to a wide diversity of data that must be cataloged within the Data Lake, and must protect private and confidential data. This tutorial describes the tasks that a Data Governance function must perform for a Data Lake in finance, and the capabilities that Data Governance must develop to the requisite level of maturity. Particular attention is paid to Data Acquisition of financial data, Data Preparation (“Wrangling”) and the needs of analytical models. The relationships that Data Governance must establish with a wide range of units are described including relationships with Legal, Procurement, Risk, Compliance, Privacy, IT Security, Data Scientists, Data Architecture, and more. Overall, Data Lakes in financial institutions are driving Data Governance to play a coordinating and harmonizing role, which can be considered as a new way of working for Data Governance. Attendees will learn:
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| 11:45 - 12:15 DG SOLUTIONS | |||||||||||||||
| Thursday October 5 11:45–12:15
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Semantic Data Governance for Regulatory Compliance Ralph Hodgson, CTO, TopQuadrant Across industry sectors, understanding, assessing and reporting for regulatory compliance is both a priority and a challenge for many organizations. Data-related laws, such as HIPAA, BASEL and GDPR, require an understanding of the sources, flows and destinations of data. Based on W3C semantic standards, TopBraid Enterprise Data Governance (TopBraid EDG) provides a solution that uses and confirms the power of semantics to map data landscapes. Based on cases of use from the financial sector we will show how to consolidate, organize and manage metadata and relationships for compliance assessment. Using GDPR compliance for illustration, we will demonstrate how TopBraid EDG addresses the problems in regulatory compliance by using models (standards-based ontologies) to:
Key capabilities of the solution include: query and visualization to navigate data dependencies; and rules on the data to infer what regulatory obligations are applicable. We will report on a data lineage methodology and best practices inspired by customer projects. Level of Audience: |
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| Thursday October 5 11:45–12:15
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Creating Business Value through Data Governance Oren Borenstein, Director, TD Ameritrade Mark Fox, Strategy and Data Governance Solution Partner, Knowledgent Mitigating firm-wide risk and driving business value through the creation of a data governance capability is not a small feat, but has become even more important as data creates the path forward for new business strategies. We will discuss how TDA evolved their data governance program and accelerated internal auditing for regulatory implications by learning from the past and leveraging best practices. The session will discuss:
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| Thursday October 5 11:45–12:15
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Data Governance and Data Quality: Two Sides of the Same Coin Keith Kohl, VP Product Management, Trillium Software Data Governance and Data Quality are intrinsically linked, and as the strategic importance of data grows in an organization, the intersection of these practices grows in importance too. This session will outline the connections and dependencies between Data Governance and Data Quality, and provide a practical approach for combining the two to deliver to the business data that is accurate, trusted and fit for purpose. Examples of how to use data governance tools with leading data quality solutions like Trillium Software will be presented. Learning Objectives:
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| Thursday October 5 12:15–1:30 |
Lunch and Exhibits | ||||||||||||||
| 1:30 - 4:15 AFTERNOON TUTORIALS | |||||||||||||||
| Thursday October 5 1:30–4:15
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T4: Governance Artifacts for Financial Organizations Robert S. Seiner, President/Publisher, KIK Consulting/TDAN.com When building a Data Governance program for a financial organization, there are two different ways to collect and use the metadata that moves the organization toward formalized accountability. Organizations can purchase or use software tools that are currently available on the market or they can build tools internally specific to their programs requirements. It is less expensive to start by building your own tools. In this session with Bob Seiner, he will share several governance artifacts (tools that you can develop yourself) that are specifically focused on the needs of a financial organization. These artifacts can be used to enact stewards, engage them in governed processes, and communicate and enforce compliance and privacy rules. Attend this session and you will walk away with tangible tools to move your data governance program forward. In this session, Bob will share:
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| Thursday October 5 1:30–4:15
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T5: Successfully Meeting the Challenge of the New Global Data Protection Regulation
(GDPR) Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners A sweeping, new privacy regulation arrives May 25, 2018. Will you be ready for it? The General Data Protection Regulation (GDPR) impacts all companies that do business in the EU, including many financial services companies domiciled in the US. GDPR replaces the previous Data Protection Directive (95/46/EC), and extends the protections for individuals’ personal data. Significant fines may be levied for noncompliance. This tutorial describes the steps an organization affected by GDPR must take in the time remaining to assure compliance. These steps require the coordination of multiple enterprise capabilities such as Information Security, Internal Audit, Privacy, and Legal. The role of Data Governance in coordinating the required activities is described. Attendees to the tutorial will be provided with insight and approaches for:
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| Thursday October 5 1:30–4:15
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T6: How to Develop Data Quality and Data Governance Metrics Barbara Deemer, VP Financial Systems, Navient Michele Koch, Director, Enterprise Data Intelligence, Navient Warren Buffett said "Beware of geeks bearing formulas". Good advice to live by but most of us implementing Data Governance and Data Quality Programs need to be geeks some of the time in order to develop formulas to derive metrics to market and sustain our programs. This tutorial will provide a detailed, step-by step account of Navient’s successful approach to developing program metrics associated with their award winning enterprise Data Governance and Data Quality Programs. It will also cover deriving business value metrics by quantifying the impacts to generating revenue and avoiding costs. Topics that will be covered include:
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| Thursday October 5 4:30–5:00 |
KEYNOTE: Making the Case for Integrated Data Governance For many financial services organizations, Data Governance programs have been tactically focused on complying with changing regulations such as BCBS 239 and GDPR. Brian Vaske (CEO, ITI Data), Abhijit Shinde (Director of Solution Delivery, ITI Data), Marvin Reynolds (Director of Solution Delivery in EMEA) and Conrad Chuang (Director of Solutions Strategy, Orchestra Networks) will make the case for thinking more strategically about Data Governance and its integration with other key areas in data architecture; and how an organization can effectively approach implementation and meet regulatory goals and objectives. Level of Audience: |
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| 5:00
- 6:30 EXHIBITS AND RECEPTION |
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