Conference Sessions
December 3, 2019
Tuesday December 3 7:00–6:00 |
Registration | ||||
Tuesday December 3 7:00–8:30 |
Breakfast sponsored by University of Maryland MIM Program | ||||
7:45 - 8:30 | |||||
Tuesday |
Lessons Learned in Data Stewardship from Successful Practitioners The Data Governance Professionals Organization (DGPO) Annual Winter Meeting The Data Governance Professionals Organization One of the many questions the Data Governance Professionals Organization (DGPO) receives from members is ‘What are some of the Data Governance best practices? In this session, members of the DGPO Board will do a deep dive into Data Governance Best Practices in Data Stewardship. The following topics will be discussed:
Join us on December 3rd and meet and network with DGPO members and conference attendees and learn about some of the top Data Governance Best Practices for Stewardship from seasoned practitioners. We will also discuss the benefits of membership, progress to date, and future plans for the DGPO. Since the founding of the DGPO in 2011 the group has grown to over 15,000 list members, 1500 members representing over 300 companies and 16 countries. Level of Audience |
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8:40 - 8:45 | |||||
Tuesday |
Welcome
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8:45 - 9:30 KEYNOTE | |||||
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KEYNOTE: Is Corporate Data Literacy a New Mission for Data Governance? Ho-Chun Ho, Global Head of Data Governance and Management, JLL Data literacy has been an established subject in education and library science for quite some time; it is coming to the commercia space and corporate world. Today corporate data literacy is like a conversation piece in board rooms; we hear that term and receive project proposals from vendors and consultants. We are told that data literacy is the prerequisite to successful digital transformation in any corporation. Is data the new corporate language? Who in your organization should be data literate? How do you make them data literate? Should you start a Data University or Data Academy to achieve corporate data literacy? What role should the data governance people play? How do you measure data literacy? This presentation will demystify the hype, limits and merits of data literacy. Hochun will share his data governance experience of improving JLL’s and its clients’ maturity level in achieving better communication and decision making through the benefits of better data. He will provide proven approaches and emphasis for your data literacy journey. Level of Audience: |
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9:30 - 10:00 KEYNOTE | |||||
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KEYNOTE: Accelerate Your Path to AI by Utilizing DataOps Scott Buckles, North American Sales Executive, IBM Business Analytics, Data Science, and Data Governance Solutions Susan Yamin, Enterprise Data Governance Technology VP, U.S. Bank In today's transformative times, organizations are aspiring to incorporate AI however lack the steps needed to move forward. By implementing a strategic DataOps approach, you are able to successfully align data aspirations with business value to ensure line of business leaders are trusting their data. Transitioning from a reactionary situation to a strategic initiative, DataOps is the ultimate blueprint for data automation and accelerating your journey to AI. Join us to hear firsthand how your company can turn your data aspirations into a reality with DataOps. Level of Audience: |
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10:30 - 11:15 CONCURRENT SESSIONS | |||||
Tuesday
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Vanguard’s
Enterprise Data Governance Journey Winner of the 2017 Data Governance Best Practice Award Kirk Nemshick, Head of Data Management – Center of Excellence, Vanguard Vanguard received the DGPO Data Governance Best Practice Award in 2017 in recognition of the business value and technical excellence they have achieved in the design and implementation of an outstanding data governance program. Key Elements of that framework will be reviewed, as well as the next steps in the journey of bringing the framework into the practice within a data management organization. Key highlights include:
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Data Empathy-How to Win in Health Care Kevin Mooney, Senior Director, Enterprise Data Governance, Cleveland Clinic Josna Koshy, Product Manager Enterprise Data Governance, Cleveland Clinic While Data Governance has a long-standing body of practice and knowledge in other industries like banking and finance, it is less mature in other sectors, especially in Healthcare. As a result of this lower maturity, there is a tendency to not know the right strategy to structure and set up a Data Governance program. At the Cleveland Clinic, historically, our mission is to get the right data to the right people at the right time, while keeping sensitive data safe and secure. There is nothing more sacred in healthcare than Patient Information and its care and governance is mandatory. This session will educate the audience on how to overcome these challenges by covering the below topics:
In this session, we will also share how having members from diverse career backgrounds on our Data Governance team help complement each other’s skills and lead us to a more successful Data Governance program.. This session will be useful to anyone who is just embarking on setting up an Enterprise Data Governance program within their Organization or is looking to take their implementation to the next level by leveraging industry best practices. Level of Audience: |
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Tuesday
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Data Governance, the Long and Winding Road to Implementation Bill Dornback, Sr. Mgr, Business Intelligence, Seattle Genetics Jennifer Yoakum, BI Analyst, Seattle Genetics Come join us as we share Seattle Genetics’ journey for implementing Data Governance from the ground up in a biotech company. We started with a green field and worked to implement a data governance community along with educating the organization on process and roles and responsibilities. This will also be an opportunity to share opportunities and challenges that we all face on our Data Governance Journey. Topics include:
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Tuesday |
How We are Moving from Chaos to Community with our Data Art Steele, Enterprise Data Governance and Quality Lead, Grange Insurance Organizations can feel like the wild west with the lack of Data Governance. This can be especially true when the Sheriff is not empowered and that is how it has always been, or it is just easier to do it the old way. Presenter Art Steele will discuss how to go from the wild west of old, to a community of new using a set of best practices to help improve the data in your organization. By speaking a common language and creating an environment for data collaboration, Grange Insurance influenced change behavior education on data. This allowed for data empowerment throughout the enterprise that brought once siloed departments into a community of data sharing. By the end of the presentation, attendees should walk away with some new methods to change up the old ways of doing things within their own organizations. Attendees will learn:
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3 Steps to Turning CCPA & Data Privacy into Personalized Customer Experiences Mark Rowan, Head of Global Sales, Prolifics Jean-Michel Franco, Senior Director of Product Marketing, Talend Your company’s success lies in your capacity to keep your customers’ trust while offering them a personalized experience. With the right Data Privacy framework and technology for your data governance project you will maintain compliance and prosper. CCPA isn’t the first privacy regulation to impact virtually every organization that does business in the United States – it’s simply the one starting in 2020. As these regulations continue to expand and change, what if there was a way to turn compliance into your advantage? Attend this session and learn how a strong, carefully considered data governance program can help you stay ahead of new regulations like CCPA, and also enhance customer experiences with trusted data. Learn how a 3-step approach can help you:
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11:25 - 11:55 Sponsored Sessions | |||||
Tuesday |
Harmonizing Data Management and Data Governance Andrew McGovern, Senior Pre-Sales Consultant, erwin, Inc. Organizations won’t succeed at data governance if they fail at data management. But manually cataloging and documenting operational systems, processes and the associated data at rest and in motion has been time-consuming and prone to errors. Join us for this session to see how the erwin Data Intelligence Suite, as part of the erwin EDGE platform, combines data management and data governance in an automated, metadata-driven approach so organizations can:
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Turning AI Aspirations Into Outcomes Matt Crittenden, Lead Governance Architect, North America Information Governance Practice, IBM Mark Hensley, Lead Governance Architect, North America Information Governance Practice, IBM AI is all the rage right now. Most organizations feel it’s the key to getting business value from their data. However, the problem is, which data and can you trust it? We believe that there is no AI without IA - Information Architecture. IBM can help your organization take the first steps to AI by automating the creation of a “Trusted Data Layer” via our ML infused Watson Knowledge Catalog. Join us to learn the value of Business Ready Data and get a sneak peak of the latest and greatest that is coming from IBM. . Level of Audience: |
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Data Discovery & Intelligence: The Key to Unlocking Synergies in Data Governance, Privacy and Security Dan Sholler, Senior Director of Product Marketing, BigID Business understanding of the value of data governance programs is growing. But in practice these programs are often held back because the scale of the effort is unappreciated, and they are riddled with conflicting goals. Data professionals are chartered with unlocking the value of data, and at the same time enforcing rules about its use. While these objectives are seemingly at odds, it is possible to harness these challenges and enable them to reinforce one another. It turns out that many data governance problems arise because of limitations on what data is governed, and what we know about that data. Learn how to build a foundation of data intelligence, and a data registry complete with the correct contextual information about the data. This in turn can drive simultaneously reinforcing governance, privacy and security management efforts. This presentation will discuss how leading organizations have tackled issues such as data lake governance, CCPA, and document security synergistically:
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1:00 - 1:45 CONCURRENT SESSIONS | |||||
Tuesday
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Award
Winning Practices in Data Governance from Dun and Bradstreet Winner of the 2018 Data Governance Best Practice Award Lisa Baughman, North American Data Governance Leader, Dun and Bradstreet This presentation will showcase a number of best practices in Data Governance put into practice in the Data Governance program at Dun and Bradstreet (D&B) that won the prestigious DGPO Data Governance Best Practice Award. One such practice is Data Stewardship - the establishment of a network of individuals across the enterprise who champion Data Governance in their area of the business and communicate back to central Data Governance issues that need to be addressed. Closely related to this is the practice of using RACI matrices to distribute Data Governance accountabilities, and this too is explained. Data Classification is another best practice that has been implemented in order to categorize data elements for particular governance needs. Finally, this presentation will explain the mechanisms to policy compliance. Attendees will learn:
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Tuesday
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When Top-Down Data Governance is Not an Option Rachini Moosavi, Exec. Director Data Solutions & Governance, UNC Health Care Sonya Jordan, Data Governance Consultant, UNC Health Care Best practice research says that Data Governance works best when enforced from the top of the organizational hierarchy down to the front-line. But what happens when DG is essential to an organization's analytics journey, yet the organization’s culture isn’t top-down? UNCHCS stumbled through the process of finding the right answers to this question. You will learn about the following approaches UNCHCS took to kick-start Data Governance:
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How to Include Data Remediation in Your Data Quality Management Lifecycle Chris Davis. Data Governance Manager, Alliance Data In this session you will learn why Alliance Data implemented a data quality management lifecycle and provide ideas as to how you can develop data quality remediation to address your information quality concerns. This presentation will walk you through the steps and processes of our data quality management lifecycle including:
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Tuesday
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Keeping up with the Chaos - The Evolution of Data Governance at FIS Alexis Suer, Leader, Big Data Governance, FIS Kash Mehdi, Data Governance Domain Expert, Informatica In the world of enterprise data governance, culture changes are inevitable. Compound the complexity of starting your program with the calamity from multiple mergers and acquisitions and you get organizational chaos. During this informative session, we’ll explore not only what it takes to launch your enterprise data governance program but also how to navigate change, build momentum, and develop a sustainable framework for success, even in a highly dynamic environment. During the session, you’ll discover how Worldpay established and persisted its four pillars to governed data in the ever-changing environment at the world’s leading payment processing company, while evolving their data governance operating model. You’ll hear how the team at FIS:
This is a can’t miss session for anyone dealing with changes, establishing a new program, or looking to build and sustain momentum with their enterprise data governance program. Level of Audience: |
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CCPA & Targeted Data Discovery: Automating Consumer Rights Scott Bendzlowicz, Solution Engineer, OneTrust Global privacy laws like the CCPA and GDPR have changed the way organizations are responding to data subject and consumer rights requests. With the increased number of data breaches, companies across all industries face increased challenges when asked to respond to consumer requests for personal data. In this session, we’ll dive deep into more efficient ways to discover consumer data across IT ecosystems with the help of targeted data discovery, ultimately fulfilling and automating consumer data requests and adhering to global privacy regulations. Level of Audience: |
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2:00 - 2:30 KEYNOTE | |||||
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Data Intelligence: Empowering the Citizen Analyst to Realize True Business Value Danny Sandwell, Director, Product Marketing, erwin, Inc. The intersection of three technological advances 1) exploding data production, 2) scalable big data computation, and 3) the accessibility of advanced analytics, machine learning and artificial intelligence – have established a fertile environment for data innovation. As such, we’ve seen the rise of the “citizen analyst” who brings business acumen and subject-matter expertise closer to discovering strategic and tactical data-driven insights. But the opaqueness, complexity and siloed nature of enterprise data has hindered this role, increasing the risk of failure and swelling the time and effort to realize true business benefits. As with any complex mission, the key to achieving your objectives is sound, actionable intelligence. In the case of empowering the citizen analyst, shared enterprise data assets must be made available to a broad set of data consumers in a governed way. This governed data intelligence includes:
In this session, we’ll look at the key elements for successful and sustainable data intelligence through the lens of traditional intelligence practices. Level of Audience: |
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The Revolution of Policy Based Access Control: Controlling who can Access your Data Daniel Brudner, VP of Sales Engineering, PlainID There is an increasing risk, both financial and reputational, that is a call to action for many businesses to take back full control of data authorization and governance. As the complexity of digitalization and new found data science capabilities drives greater demand for data democratization, the complexity and diversity of data consumers and the data assets and resources they need to consume is also changing. The challenge of course, is how to significantly improve data accessibility, without compromising usability, remaining compliant and still operate an effective and efficient governance process that is transparent and actively monitoring the consumption of data and information resources across the business ecosystem. In this session, you will learn:
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A Comprehensive Enterprise Data Model is Foundational to Successful Data Governance Kevin Schofield, President, ADRM Software, Inc While many focus on processes and roles when planning data governance and stewardship programs, too often not enough attention is paid to the data that is to be governed. This talk will explain why the speaker's experience has lead him to the conclusion that a comprehensive and detailed enterprise data model is foundational for organizations who want to ensure the success of their data governance and stewardship programs. Defining and establishing data governance processes and roles is important, but without clear and precise communication about the data that is being governed and the scope of responsibility of individual data stewards, there is significant risk that data governance efforts will not achieve the desired benefits. This talk will highlight some of the ways in which a comprehensive enterprise data model can improve and accelerate data governance initiatives including:
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Toll Gate for Data Governance Kash Mehdi, Data Governance Domain Expert, Informatica For organizations looking to embark on a data-driven digital transformation journey, an enterprise data governance program is like a toll gate. To be successful moving data to the cloud or a new system, an enterprise data governance program will enable:
All four dimensions above form the toll gate for data governance. Once met, data gets the green light and transformed in its journey to digital transformation. Level of Audience: |
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Leveraging Your Data to Turn CCPA & Data Privacy into Long-Term Business Value Mark Chapman, Pre-Sales Manager and Senior Solutions Architect, Talend Ron Davis, Data Governance Practice Director, Prolifics Are you challenged with establishing and driving the momentum of data governance within your organization? How strong are your procedures and data access to face regulations like GDPR, next CCPA, and the ones that will come after? The industries approaches are changing to include Data Governance Program or Data Quality while gaining insight. Prolifics and Talend will demonstrate how to set up your company data leveraging Machine Learning (ML), Artificial Intelligence (AI) and a modern platform solution to drive your business more efficiently. They will share their proven methodology for simplifying your data governance implementation and equipping your data consumers with the high-quality information they need. Level of Audience: |
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A Deeper Dive into the World's Most Widely Used Privacy Management Software Josh Kraeger, Privacy Consultant, OneTrust Compliance with modern privacy and security laws requires knowing and understanding your data. However, to take a compliant and accountable position to these laws, companies must take it a step further – they need to consider the context of business process, systems, and third-party data processing to tell the full story. Join OneTrust’s demonstration, focused on the next layer above data governance, that is critical for complying with laws like the CCPA, GDPR, Brazil’s LGPD, and more. This product presentation will focus on the internal governance, documentation and recordkeeping requirements of these laws. We’ll also reveal how understanding those important aspects helps better equip and enable companies to deal with Consumer Requests, managing customer preference data, and creating a more seamless and trustworthy digital experience for consumers. Level of Audience: |
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Algorithmic Transparency - Data Governance to Support an AI World Matt McGivern, Managing Director, Protiviti As Artificial Intelligence (AI) use cases continue to expand into automating decisions impacting consumers. As that occurs there is an increasing call to provide transparency into these decisions, looking to ensure bias isn’t coded into the algorithms. Data Governance will play a pivotal role in demystifying AI, offering details on sources of data driving decisions, defending calculation methodologies, and providing details on how these details are factored into final outcomes for use cases. In this session we will offer a review of concepts for Algorithmic transparency, discuss data governance considerations, and provide thoughts on what to build into your existing data governance programs. Level of Audience: |
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4:30 - 4:45 ROOM CHANGE | |||||
4:45 - 5:30 CONCURRENT SESSIONS | |||||
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The Practical Application of Data Governance at a $35b Financial
Institution Brian Paull, Director Credit Risk and Data Mgmt, First Citizens Mike Russell, Enterprise Data Manager, First Citizens Follow First Citizens Bank through their journey standing up a data governance infrastructure. Learn about mistakes, success stories, and how they view the next phase of their evolution as a data centric organization. This is a practical discussion of how theory meets reality in the world of budget constraints, regulatory pressure, and sporadic organizational support. It is not THE answer to standing up a data governance infrastructure; it is one bank’s real-world experience. This case study will include:
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Introducing a Data Governance Program - What Helped, What Didn’t
and Avoiding Our Mistakes Ryan Brochez, Enterprise Data Architect, Royal College of Physicians and Surgeons of Canada This presentation will share lessons learned from introducing a Data Governance program at the Royal College of Physicians and Surgeons of Canada. The presenter led the establishment of a Data Governance Office and has coordinated the program from its inception to its current state of operations. This session is intended for small to mid-sized organizations who want to implement a Data Governance program from scratch. Posing eight strategic questions the presenter will share lessons learned on what did or did not help meet challenges many organizations will also face establishing and implementing their own Data Governance program.
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Case
Study: Distributed Data Stewardship for Contact Records in a CRM System Mike Ostrander, AVP Data Governance, Vizient Inc Vizient is the nation's leading health care performance improvement company, and as a member-owned, member-driven healthcare improvement company, it is critical for us to know our members. Like other B2B companies, our needs went beyond address validation and householding, so we couldn’t solve this with just technology. As part of a data cleanup project in Vizient's existing enterprise CRM, we successfully implemented a program of Contact Data Governance and Stewardship. In this case study, we will cover:
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Tuesday
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Where Are You on the Governance Journey? Let's Figure it out Together Mark Lynch, Information Governance Practice Leader, IBM Brian Mayer, Information Governance Practice Leader, IBM Join us for an interactive, hands-on session to see where your organization is today on the governance journey and determine the gap to the enterprise governance goal. During this session, we will walk through a gap analysis in which you can rate where your organization is on the governance journey. You will walk away with an assessment of your organization ’s governance state and thoughts on how to fill the gaps. Level of Audience: |
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5:30 - 7:30 RECEPTION AND EXHIBITS | |||||
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