Conference Sessions - September 9, 2016
| Friday September 9 8:00-11:30 |
Registration | ||||||||||||||||
| Friday September 9 8:00-9:00 |
Continental Breakfast - Sponsored by InvestTech Systems | ||||||||||||||||
| Friday September 9 8:50-9:00 |
Welcome | ||||||||||||||||
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| Friday September 9 9:00-9:30 |
KEYNOTE: Implementing Data Governance Strategies Jennifer Ippoliti, Firmwide Data Governance Lead, J.P. Morgan Chase's Chief Data Office In this Keynote, Jennifer Ippoliti will discuss key components to Implementing Data Governance Strategies in an Enterprise environment as well as core strategies every company must have as the heart of their Data Governance programs. Jennifer will discuss such topics as:
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| Friday September 9 9:30-10:00 |
KEYNOTE: What's the "D" in CDO? Where does data governance go from here? Conrad Chuang, Director Solutions Strategy, Orchestra Networks Over the past several years financial services firms have established new data governance programs and recruited Chief Data Officers (CDO) to lead them. These teams have been hard at work documenting and assessing their respective organization’s existing data landscape, reporting on the quality of data within their organization, and devising new strategies and policies for governance and control. As many CDO’s have observed, it seems as if the “D” has thus far been more about “documentation” than “data”. But now with the finish line on documentation for key initiatives in sight, what’s next for CDOs in the data governance landscape? In this keynote, Mr. Chuang provides case studies illustrating an expanded scope for data governance, including how organizations are building on their foundational achievements in defining and cataloging business metadata to pursue larger objectives in areas such as establishing linkage with reference and master data management, business rules management, big data catalogs, data quality and entitlements. Level of Audience: |
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| Friday September 9 10:00–10:30 |
Coffee Break and Exhibits Open | ||||||||||||||||
| 10:30 - 11:15 CONCURRENT SESSIONS | |||||||||||||||||
| Friday September 9 10:30-11:15
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The Principles of Data Management Michael Atkin, Managing Director, EDM Council Data management in the financial industry in the era of linked risk, BCBS 239 and global interconnectivity is fundamentally about the management of meaning. This presentation will highlight the core principles needed to manage meaning and define what is required to ensure trust and confidence that the data that promulgates across the entire financial system is harmonized, comparable and precise. Level of Audience: |
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| Friday September 9 10:30-11:15
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Lessons
Learned and Best Practices to Improve your Data Governance Process Risé Jacobs, SVP & CTO, Astoria Bank Albert Deluca, Applications Analyst, Astoria Bank Drawing on characterizations from popular TV shows, we will review a case study of the challenges we faced, setbacks we encountered, and successes we obtained in implementing a new Master Data Management and Data Governance program, and what steps can be taken to improve success. In particular we will focus on the differences between Information Systems (technical people) and Business Systems (non-technical people) and how to bridge the gap so that everyone can be effective right from the first meeting. Allowing all group members to describe and explain what they see as obstacles, as well as advantages, allows all participants to understand multiple perspectives and feel like equal stakeholders in the success of the project. Topics to include:
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| Friday September 9 10:30-11:15
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A Proven Data
Controls Framework for Regulatory Compliance in Financial Services Dan Meers, President, K2 Solutions Carl Gerber, Executive, K2 Solutions Data governance programs must provide a way to define, develop, deploy and continuously monitor data controls over regulatory data. Risk data is now highly regulated and the controls required to comply with this regulation are also applicable in critical anti-money laundering, information privacy and information security environments. Regulatory reporting requirements from Basel including value at risk models for capital adequacy, OCC, FDIC and FNRA requirements for loan loss reserve calculations, and enterprise risk management reporting for bank executives and regulators all rely on controlled data. We will share specific controls in a proven, industry award winning controls framework. Level of Audience: |
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| 11:30 - 12:00 DG SOLUTIONS | |||||||||||||||||
| Friday September 9 11:30–12:00
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The Data Conundrum: Creating Value and Satisfying Regulatory Demands at the Same Time Simon Hankinson, Global Financial Services Market Lead, Collibra We all know that our data is an incredibly valuable asset. But without good processes for governing and taking care of that data, we cannot unlock that value. Organizations need an approach that creates transparent, trustworthy, high quality data, and at the same time satisfies the growing regulatory requirements for data governance and management. Learn how leading organizations bring these two goals together, with a principled approach to taking care of their data. We will discuss how data governance processes created for BCBS 239, CCAR and other regulatory reporting increase the value and trustworthiness of data. Level of Audience: |
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| 11:30 - 12:00 DG SOLUTIONS | |||||||||||||||||
| Friday September 9 11:30–12:00
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High Performant Data Governance Drives the Value of MDM Dave Nolting, Data Governance Lead, Knowledgent Sean Murray, Data Governance Solution Partner, Knowledgent Knowledgent Informationists, Sean Murray and David Nolting, will be discussing how customers and product masters find their true value when applied across business lines through real-world points of view, and how to apply this technique effectively in large enterprises leveraging cutting edge technology solutions. Level of Audience: |
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| 11:30 - 12:00 DG SOLUTIONS | |||||||||||||||||
| Friday September 9 11:30–12:00
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The CDO Toolkit A Foundation for the Data Ecosystem Management Mark Apsey, Director, Financial Services, Global IDs Most organizations will need a core set of data management capabilities before they can extract value from their data ecosystems. Global IDs has packaged these foundational capabilities in the “CDO Toolkit”. This presentation will describe and demonstrate the components of the toolkit and explain its applicability to a variety of use cases. Level of Audience: |
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| 12:15 - 12:45 DG SOLUTIONS | |||||||||||||||||
| Friday September 9 12:15–12:45
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TopBraid EDG - Addressing the Evolving Data Governance Needs of Financial Services Enterprises Ankur Oberai, Product Manager, TopQuadrant Robert Coyne, CMO and VP of Prof. Services, TopQuadrant As the variety of data and technologies in use at the financial services organizations grows so does the diversity and scope of data governance necessary to ensure regulatory compliance and accuracy of business analytics and reports. Are your tools up to the job? In this short presentation we will give an overview and brief, illustrative demo of TopBraid Enterprise Data Governance (EDG). As a modular, extendable solution, it offers an integrated approach to governing many types of assets. Governance of "linked assets” makes enterprise data "meaningful". We will show some specific capabilities for managing technical, business and operational metadata, including:
Using standards-based graph technologies, TopBraid EDG supports governance across the ever growing numbers and types of assets – because connections are important! Level of Audience: |
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| 12:15 - 12:45 DG SOLUTIONS | |||||||||||||||||
| Friday September 9 12:15–12:45
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Data Governance: What's Important to the C-Suite? Jeff Shortis, Founder and CEO, Data3Sixty While data can be complex, how data is leveraged is a significant contributing factor to gaining a competitive advantage. Due to the nuanced details surrounding data, it can be difficult to have the ‘so what?’ conversations with the C-Level, ensuring that the message is delivered both in the right language and at the right level to be understood and actionable. Drawing from his firsthand experience and expertise as the former Chief Data Officer (CDO) for a Global Asset Management organization, Jeff Shortis, CEO of Data3Sixty, will discuss Data3Sixty’s approach to connecting data governance initiatives to the achievement of business capabilities which are well understood by the C-Level. Connecting the dots on how data governance can help move the meter on important strategic factors will ensure ongoing support and buy-in across your organization.
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| 12:15 - 12:45 DG SOLUTIONS | |||||||||||||||||
| Friday September 9 12:15–12:45
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Data Lineage from Cobol, DB2 and JCL Siddhartha Banerjee, VP of Worldwide Product Sales, Compact Solutions We will talk about our experience in implementing a major global bank's data governance program focusing on meeting data lineage and ancestry requirements. The projects involved proving dta lineage from Mainframe to Bid Data Cloudera. One of the key elements of this initiative was deriving end-to-end data lineage, providing the regulators capability to track data flows all the way from a Critical data element from Hadoop Distribution layer/data warehouse, staging area to the system of record in mainframe. What attendees will learn:
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| Friday September 9 12:45–2:00 |
Lunch and Exhibits Close at 2:00 | ||||||||||||||||
| 2:00 - 2:45 CONCURRENT SESSIONS | |||||||||||||||||
| Friday September 9 2:00–2:45
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A Window Into the Deep and Dark Web Mark Herschberg, Principal, White Knight Consulting The deep and dark web represents both a source of risk and the likely repository of your data post-breech. Learn about the different aspects of the deep and dark web and how they can impact your financial services organization. We’ll also look at what may happen once your data is available outside your organization Level of Audience: |
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| Friday September 9 2:00 –2:45
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Changing Finance Behaviors to Achieve Policy Adherence Carrie Fawcett, Finance Data Governance, TIAA This case study reviews TIAA’s approach to developing and establishing best practices within their Finance and Actuarial functions to implement Data Governance Policy and Standards. How do you turn a dryly worded policy document into a dynamic set of practices that will engage your organization, focus on changing behaviors, and ultimately improve the quality of your data? This session will review our approach to engaging our 650 employee finance and actuarial team and building out an operating model necessary to implement the critical components of our policies and standards. TIAA has stepped away from the traditional audit / command and control approach used for most policy rollouts and built a practice based approach that is flexible enough to integrate into operational processes or the SDLC. This presentation will cover:
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| Friday September 9 2:00–2:45
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Case Study on Data Governance in the Big Data Lake Peter Carr, Principal, CapTech Consulting Kristi Cunningham, VP Enterprise Data Management, Capital One Learn how Capital One developed a method for ingesting data in their Big Data Lake and still provided important data governance in the process. Learn about Capital One supported data stewards to implement data governance without stopping the ingestion of data into a Big Data environment. With the huge volumes of structured and unstructured data flowing into our Data Lake, implementing controls required for regulatory reporting while still providing data for analysis and exploration was a challenge. One of the key differentials that we have implemented is providing data context at the right stage of the process. Rather than applying complete context as data is first loaded into the lake, applying basic context early and detailed business context later (only when it is needed) can most effectively serve the needs of data consumers in a Big Data environment. Level of Audience: |
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| Friday September 9 2:45–3:00 |
Coffee Break | ||||||||||||||||
| 3:00 - 3:45 CONCURRENT SESSIONS | |||||||||||||||||
| Friday September 9 3:00–3:45
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Governance Maturity Drives Agile Delivery Lisa Brown, Director, Enterprise Data Stewardship, Fannie Mae Michael McKenzie, Data Steward, Fannie Mae Fannie Mae is a leading source of residential mortgage credit in the U.S. secondary market. In recent years the organization launched a large-scale implementation of enterprise level data governance, metadata management, and data quality capabilities to drive the delivery of a flexible, streamlined data architecture that meets the organization’s strategic goals. This transformation integrates a broad governance program and major architectural initiatives, and yields enterprise level agile delivery. In 2013 a comprehensive data management evaluation was conducted employing the Data Management Maturity Model (DMM) and a DMM re-assessment in 2016 validates the tangible achievements that a mature organization can deliver with engaged governance participation and a strong data management program. During this session you will learn about:
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| Friday September 9 3:00–3:45
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Blockchain for Recordkeeping Roberta Kowalishin, Director, PwC How are blockchain technologies starting to play a role in recordkeeping and enterprise content - to strengthen Governance, Risk Management, and Compliance functions that protect trade secrets, regulated records and privacy? One specific use case - long-term preservation of electronic records is a serious challenge without a widely accepted solution. 20% of records require retention of 10 years or more and keeping records for 25 years and beyond is common in insurance, utilities, finance and medicine/ pharmaceuticals. A signature embedded in a blockchain provides a compelling solution to this challenge. This presentation will discuss the long term records preservation use case and several other examples of blockchain for records implementations across enterprise, government records and relief fund processes. A framework for organizing recordkeeping technology approaches and risks and contrasting this approach with other uses of blockchain (smart contracts and cryptocurrencies) will be proposed. Level of Audience: |
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| Friday September 9 3:00–3:45
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Critical Data Elements: the Whole Story Ian Rowlands, VP of Product Marketing, ASG The continued growth of the data estate makes identification of critical data elements a key challenge. Knowing which elements are CDEs is a vital part of understanding how to prioritize data management efforts and how to allocate resources. What makes a data element a CDE? There's more than one way of looking at the question, and this session will explore the approaches. Next we'll look at how to understand where CDEs come from and what may happen as they flow through systems. Using CDEs successfully depends on understanding related quality and validity issues, and being able to react quickly to potential problems can impact business agility and profitability and contribute to risk mitigation. This session will cover:
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| 4:00
- 4:45 KEYNOTE PANEL |
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| Friday September 9 4:00–4:45
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KEYNOTE PANEL: Tips from the Trenches -
Lessons Learned from Successful Practitioners in Implementing Data Governance MODERATOR: Steven Zagoudis, CEO, MetaGovernance Solutions LLC PANELISTS: Risé Jacobs, SVP & CTO, Astoria Bank Lisa Brown, Director, Enterprise Data Stewardship, Fannie Mae Kristi Cunningham, VP Enterprise Data Management, Capital One Barbara Deemer, VP Financial Systems, Navient This panel will address the unique challenges of the financial sector in implementing data governance programs. Topics include:
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