Conference Sessions
December 5, 2017
| Tuesday December 5 7:00–6:00 |
Registration | ||||||||||||||
| Tuesday December 5 7:00–8:30 |
Continental Breakfast | ||||||||||||||
| 7:45 - 8:30 | |||||||||||||||
Tuesday |
A Deep Dive into Data Governance Roles and Responsibilities The Data Governance Professionals Organization (DGPO) Annual Winter Meeting How should the data governance organization be structured? What are the roles needed? Who should ultimately be responsible for data governance and data quality? What does a data steward do? If one were to ask for a list of the most frequently asked questions about Data Governance, it would be topped with several organizational, people-related questions. While many with an outside-in view of data governance think that data is the hard part, the truth is once you are knee-deep with your sleeves rolled-up, you realize that the human side of data governance can prove to be far more challenging. Don’t take this the wrong way – the data piece is no walk in the park, but figuring out the “who” elements of data governance can madden even the toughest of data governance veterans. Whether you are just starting your data governance journey or are an experienced data governance professional networking and learning from your peers is invaluable to your success. Join DGPO members as we take a deep dive into the organizational side of Data Governance. This session is open to all attendees. You do not need to be a DGPO member to attend this session. |
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| 8:40 - 8:45 | |||||||||||||||
Tuesday |
Welcome
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| 8:45 - 9:15 KEYNOTE | |||||||||||||||
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KEYNOTE: Emerging Trends in Data Sovereignty, Big Data
and the Internet of Things Sunil Soares, Founder & Managing Partner, Information Asset U.S. data governance programs cannot be successful without considering emerging trends. Data Sovereignty regulations around the world have placed an increasing focus on citizen data privacy. While many U.S. data governance programs may not be immediately impacted by regulations such as the European Union GDPR, U.S. regulators will become more active in this area. At the same time, Big Data and the Internet of Things are providing ever increasing opportunities to data scientists to derive new insights. However, data governance programs need to also consider how metadata management, data stewardship and data quality will add value in this new world. Level of Audience: |
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| 9:15 - 9:45 KEYNOTE | |||||||||||||||
Tuesday
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KEYNOTE: What Did Your Data Do Last Night? Scott Buckles, Vice President, IBM Analytics Caitlin Halferty, Client Engagement Executive, IBM Chief Data Office It’s almost paradoxical that enterprises possessing incredible stores of unique data are often not prepared to take advantage of those valuable assets – resulting in negative or reduced ROI from the data, incorrect or biased decision making, risk of potential compliance or security violations, and lost opportunities to gain competitive advantage.
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 9:45 - 10:15 COFFEE BREAK |
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| 10:15 - 11:00 CONCURRENT SESSIONS | |||||||||||||||
Tuesday
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Using Business Value to Drive Information Governance Decisions with Information Governance Cloud Tyler Warden, VP of Product Solutions, BackOffice Associates Learn how using a business value lead approach to Information Governance activities can enable both initial delivery as well as long term investment in Data Governance and Data Stewardship activities.
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Tuesday
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Operationalizing Data Governance Quickly at Quicken Loans Maggie Hubble, Director, Data Governance, Quicken Loans In this session you will learn hear tips and lessons on how to quickly implement Data Governance Topics include:
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Tuesday
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GDPR: The "Thermo Nuclear" Change in Data Ownership Evan Levy, VP, Data Management Services, SAS Traditionally, the laws and guidelines for consumer data protection and security has varied across different countries and even different industries. However, the European Union’s 2015 Global Data Protection Regulation (GDPR) dramatically changed the landscape (and concept) of consumer data ownership and protection. With this landmark legislation, data ownership was taken away from the business entities that had purchased and accumulated the data and given back to the individual consumer. The EU also defined a significant number of guidelines and responsibilities that companies must follow if they choose to retain and use consumer data. While the concepts of data ownership, data rights, and usage consent are easily understood, their impact to consumer business can be quite significant. While most business people think little about their company’s ability to retain consumer interaction history, support cross-sell / upsell strategies, and monetize their data assets– such activities may be significantly hampered by the requirements identified within GPDR. During this session, topics to be addressed include:
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| 11:00 - 11:10 ROOM CHANGE |
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| 11:10 - 11:40 DATA GOVERNANCE SOLUTIONS | |||||||||||||||
Tuesday |
Classifying the Data Ecosystem (for GDPR) Dr. Arka Mukherjee, Founder and CEO, Global IDs Inc. All organizations that store data pertaining to EU Citizens are required to comply with the General Data Protection Regulation (GDPR) by May 2018. To do so, organizations need to first locate the relevant data across their data ecosystem and then trace its flow across the IT environment. Dr. Mukherjee will cover how Global IDs’ software helps large enterprises comply with GDPR regulatory requirements by automating Data Classification of their Sensitive Data. Level of Audience: |
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Tuesday |
Governance Can Lead to Operational Efficiency and Satisfy the "Need for Speed" with the Data Stewardship Platform Matt Wagnon, Senior Director Global Product Strategy, BackOffice Associates See how your organization can start viewing Governance as an enabler and not controlling and restrictive to the business. Discover the benefits of the Data Stewardship Platform’s Policy execution and monitoring capabilities.
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Tuesday |
The Data Rules that Make your Data Rule! Derek Hardison, Manager, Pre-Sales Support, SAS You’ve done the dirty work with or without SAS® Data Management capabilities. Your data is in good shape, and you’re ready to move your business forward. Customer data matched and complete? Check. Product information well-defined and consistent? Check. Now what? How do you maintain that high level of quality and make your data work for you? With SAS® Data Governance, you can put the necessary processes in place to more effectively manage all of your data assets and critical information. And you can boost collaboration between business and IT so everyone in your organization is on the same page. In this session, we will show you how to store business terms and related technical metadata in the business glossary, visualize relationships and lineage, and monitor health issues from within the same web browser. Level of Audience: |
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| 11:40 - 12:45 Lunch AND Roundtables |
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| 12:45 - 1:30 CONCURRENT SESSIONS | |||||||||||||||
Tuesday
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Creating
a Sustainable Mature Data Centric Environment in State Government Virginia Hambric, Project Manager, State of Michigan Rob Surber, Director, Enterprise Portfolio Management Office, State of Michigan Governor Snyder’s vision of citizen centric government is built on a foundation of data governance, recognition of data as a state asset, using data to improve the quality of service delivery, promoting a “share first” environment, and leveraging enterprise data related services. Creating a sustainable mature data centric environment across 22 state departments requires not only efficient and effective technology solutions, but also and equally important, collaboration, governance, data driven decision making, relevant metrics, and a solid foundation of data centric standard processes. Key success factors for Michigan’s progress in realizing the Governor’s vision of citizen centric government include:
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Tuesday
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Mission Impossible? How Business and IT Can Partner to Craft and
Implement a Cohesive Data Strategy Erik Ferrone, Senior Manager, Finance and Actuarial Data Governance, TIAA Have you embarked on your mission without a shared understanding of what needs to be accomplished or why? Do Business and IT have a shared strategy from which to work, or is each operating according to their own tactical playbook? Being successful in Data Governance and Data Management without a shared Data Strategy can make things seem impossible, but there is a better way! A shared and cohesive Data Strategy can serve as a guidepost for making clear, timely decisions, which link to business goals and objectives, as well as IT best practices for Data Architecture. This session will provide answers to the following questions, and more:
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Tuesday
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Supporting Agile Development with Data Governance Leadership Ted Curran, Senior Director, Chief Data Governance Officer, UPMC Insurance Services Division There is a huge movement for companies moving from traditional software development models including waterfall to Agile. Data Governance is a key component of a successful transition to Agile for development. Ensuring clearly quantifiable goals (e.g. measured quality, productivity, stakeholder satisfaction) and then measuring and living up to these objectives is a key value component. Guidance such as database design conventions, policies and procedures needs, modeling style guidelines, data naming conventions, and report design guidelines get adopted when people see the value versus frustration of everyone doing their own thing, making integration/consistency difficult and resources wasted. The session will focus on tactics, strategies and different scenarios on how a Data Governance leader can effectively support the Agile process and add value to the organization. Topics include:
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| 1:30 - 1:40 ROOM CHANGE |
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| 1:40 - 2:10 DATA GOVERNANCE SOLUTIONS |
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Tuesday |
Delivering Business Value by "Putting Data Governance to Work" Ralph Hodgson, CTO, TopQuadrant To deliver value, data governance should be driven by a business perspective (organization, policies, rules) while supported by technical processes and tools (e.g., data discovery and quality, metadata ingestion). Effective data governance requires integration of top-down and bottom-up approaches. We will demonstrate how TopBraid Enterprise Data Governance (EDG) lets organizations choose their own priorities for “putting data governance to work” to build a pragmatic data governance lifecycle with end-to-end support. For some, a starting point may be in defining stakeholders, roles and processes. Others, may jump right into collecting metadata and profiling data sources. Many will do a little of both and iterate. TopBraid EDG delivers a comprehensive, agile and practical solution for the day-to-day needs of stakeholders. It ensures that all assets can be traced to organizational goals and policies for data governance, through capabilities that include:
With our extensive expertise in the field of knowledge graphs, our focus is on helping organizations better understand, connect and use all enterprise assets. Level of Audience: |
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Tuesday |
New Data Landscapes Offer New Governance Challenges! Don Loden, Director, Data and Analytics Practice, Protiviti Drawing on real-world use cases and best practices from numerous implementations, learn how to leverage technology to tackle challenges that arise on topics that are front and center for organizations like real-time data and data lakes. Empower your organization to better manage data and metadata in real time. Get expert advice to develop a governance strategy, including selecting terms and quality metrics to measure, setting thresholds for scorecards, and measuring data quality over time. Level of Audience: |
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Tuesday |
Turning Your Data into a Competitive Advantage Maggi Sowko, Director, Project Management. DATUM Is your organization looking to associate data with business priorities so you have a better understanding of performance and value? Linking policies to business value, goals and objectives, is not only important, but is essential if you want to prioritize how you approach data governance and the implementation of relevant policies. Join us to learn how your organization can connect your data to your most important goals and objectives and measure the impact to drive strategic decision making and get a leg up on the competition. In this session learn how to prioritize the data based on your business value and:
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| 2:10 - 2:20 ROOM CHANGE |
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| 2:20 - 3:05 CONCURRENT SESSIONS |
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Best
Practices for Data Classification at Dun and Bradstreet Lisa Baughman, North America Data Governance Leader, Dun & Bradstreet This session will cover the data classification process from beginning to end. It is based on the best practices in use by Enterprise Data Governance and Data Stewardship at Dun and Bradstreet, a leading provider of business credit data. Data Sensitivity Classifications will be used as a working example. We will start by explaining the importance of data classifications and walk through the types and levels of classifications required to meet your organization’s needs. Next, we’ll review the culture change associated with making the data classification process part of your organization’s business as usual. Helping data stewards perform data classifications will be covered. We’ll also touch on ensuring you are prepared for global data differences between sensitive and personal data. Lastly, we’ll touch on ensuring appropriate data handling controls are in place based on the classifications assigned to your data. Level of Audience: |
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Tuesday
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Data Quality as a Commodity Service of Data Governance Jo Sannes, Lead Data Governance Advisor, JLL Peter Serff, Partner, Centennial Data Group Jonathan Stevens, Managing Partner, Centennial Data Group At JLL, we manage the data used by our corporate clients, globally and across diverse industries. The data must be accurate, thorough, consistent, reliable and widely understood. We implemented the LightHouse Program, a central data quality engine and a global rule catalog, that delivers configurable data quality scorecards and allows for distributed rule development to help engage the organization in data governance activities. It leverages and monitors board-approved critical data elements, standard reference data and related mappings, and the data standards supported by global data stewardship programs. In this session, we will demonstrate the effectiveness of reusable scorecards, the client onboarding model, standard operating models and the integration to the data helpdesk. This Data Quality Lighthouse Program enables us to offer data governance as a commodity service to our clients. We believe this is an innovation of data governance that is unique and promising. Level of Audience: |
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Tuesday
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What Does It Say on your Business Card? How Are You (re)defining Information Governance? Brian Mayer, Information Governance, IBM Mark Lynch, Information Governance Practice Leader, IBM Are your data quality and information governance efforts keeping up with the rapid pace of business today? Are your Analytics and Big Data initiatives being fully optimized? During this session, we will focus on how you can redefine and regenerate the people, process and technology that you have in place today in order for your analytics to succeed tomorrow. You will hear about:
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| 3:05 - 4:00 ICE CREAM RECEPTION AND EXHIBITS OPEN |
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| 4:00 - 4:45 CONCURRENT SESSIONS | |||||||||||||||
Tuesday |
How an Organization Leveraged the Data Debt Metric to Sustain
Data Governance John Ladley, President, Chief Delivery Officer, First San Francisco Partners Gwen Thomas, Corporate Data Advocate, International Finance Corporation "Data debt" is a term taken from the Agile development world and the concept of "technology debt." As a concept and metric, it can reveal the huge costs incurred when delaying doing the "right things" with data and information. This session highlights International Finance Corporation/World Bank Group’s successes in leveraging the data debt concept. It will offer suggestions on how you can apply this powerful metric to sustain your enterprise information management or data governance program. Level of Audience |
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Tuesday |
From Glossary to Governance Shannon Fuller, Director Data Governance, Carolinas Healthcare System This session will focus on establishing and utilizing a Business Glossary/Catalog to drive your Governance Program., by establishing definitions and standards for the data available, so that we know what we have, where it sits and that it is of high quality. We will discuss:
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| 4:45 - 6:45 RECEPTION AND EXHIBITS | |||||||||||||||
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