Conference Sessions - June 5, 2019
| Wednesday June 5 7:30–8:30 |
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Zen with Len What Does Zen Have to do With Data Governance. The Answer is "Everything". Find Out Why Kensho Len Silverston Meditation, Qigong (moving meditation), and Talking Meditation (The what, why and how of meditation) Prepare yourself and your mind for the day so you can make the most of it! Come invigorate yourself, reduce stress, develop your mind, and learn about and practice meditation. Len Silverston, who is not only a data management, data governance, and data modeling thought leader, but is also a fully ordained Zen priest and spiritual teacher, will provide this brief overview of what meditation is, why it is important, how to meditate, and lead a sitting meditation and moving meditation (Qigong) session. Some ask, ‘What does Zen have to do with data governance’. The answer is ‘everything’. Find out why. This will be an enlightening, wonderful session to start your day in a relaxed and receptive state of mind! Level of Audience:All Levels |
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| 8:30
- 9:15 CONCURRENT SESSIONS |
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Wednesday
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Grow Enterprise Information Governance through Strategic
Programs Jenna Zhou, Sr. Consultant, Dell Technologies Steven Carlson, Director, IT Information Governance, Dell Technologies Establishing and growing enterprise information governance is very challenging in many companies due to its complexity and cross functional nature. Many people see the value of the enterprise information governance, however, at the same time they struggling to quantify the value, especially the direct benefits for a solid business case to keep investing and growing enterprise information governance into the future. This presentation summarizes the work done in the last three years. During the presentation, we will share our practical experiences in establishing and growing enterprise information governance through strategic programs such as Workday Migration, EMC Integration, Customer Experience, and most recently the GDPR readiness program. Through this presentation, the audience will learn:
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Wednesday
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5 Reasons Why a Project Manager Could Be Your "Silver
Bullet" for Early-Stage Data Governance Challenges Tim Musgrove, CTO, Callisto Media Publishing Zuad Oropeza, Senior Project Manager, Callisto Media Publishing It's well known that many organizations struggle to implement Data Governance programs in the early stages the first six to eighteen months. In our view, many early problems relate to the lack of an experienced technical project manager being formally assigned to the program and this is true even when a "Data Governance Coordinator" with other relevant experience (such as having been a Data Analyst, BI specialist or DBA) is already assigned to the program. Namely, there are five problems common to early-stage DG initiatives that we think are completely solvable by an experienced Project Manager who is given the right mandate. These are:
We explain why the strengths of a seasoned technology Project Manager are ideally suited to fixing or preventing all five of these problems. For each one, we provide specific examples from our real-world case studies. Level of AudienceIntroductory |
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Wednesday
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Tips from the Trenches - If I Knew Then What I Know Now Practitioners Panel Moderator: Len Silverston, President, Universal Data Models Panelists: Cynthia Parsons, Consultant, IT Data & Analytics, Nationwide Insurance Jayne Dutra, Data Governance Program Manager, Multnomah County Jimm Johnson, Data Governance Program Manager, Scripps Health Kevin Shannon, Global Head of Enterprise Data Governance, Dun & Bradstreet In this session, successful practitioners with mature data governance programs will discuss their experiences and lessons learned in implementing and sustaining data governance and data quality programs Topics include:
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Pitching the Big Picture Lance Tucker, Associate Director of Technology Decision Support, Application, and Architecture Services, Boston College Identifying and cataloging the systems of record for a sizable organization can be a daunting task. Universities are challenged with supporting common administrative functions across disparate departmental leaderships. Ideas on tooling and data collection practices differs. Customization is common. taff disagree on how best to serve their units. A complex system evolves. Determining application redundancies is a manual effort as is locating sensitive assets. For one year we worked on cataloging over five hundreds sets of information and developing metadata around the types of information that support our business processes.
This presentation will cover our answers to these questions and how this was an effective tool to introducing our constituents to information governance. When we started our information governance effort (3
years ago) we dove right into terms and metadata. This proved to be a tough
sell to our functional users. I wish we had taken a look at the big picture
first. This is proving to be a much easier approach to engaging and
collaborating with our business partners. Level of Audience |
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Wednesday
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Sensitive Data Management: The Convergence of Enterprise Data Management, Privacy, Cybersecurity and Technology Sunil Soares, Founder & Managing Partner, Information Asset Sensitive Data Management is an emerging discipline that reflects the convergence of Enterprise Data Management, Privacy, Cybersecurity and Technology. In this session, Sunil Soares will cover the following topics:
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| 9:15 - 9:30 Room Change | |||||||||||||||||||||||||||
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Wednesday
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KEYNOTE: Winner of the Annual DGPO Data Governance Best Practice Award Scott Peachey, Director, Enterprise Data Governance & Quality Assurance, Nationwide Insurance Cynthia Parsons, Consultant, Enterprise Data Governance & Quality Assurance, Nationwide Insurance The DGPO Data Governance Best Practice Award is given to the practitioners within an organization in recognition of the business value and technical excellence they have achieved in the design and implementation of an outstanding data governance program. In this keynote presentation learn why Nationwide Insurance is the Winner of the 2019 DGPO Data Governance Best Practice Award. Session topics include:
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| 10:00 - 10:45 Break and Exhibits Open | |||||||||||||||||||||||||||
| 10:45 - 11:15 SPONSORED SESSIONS - DATA GOVERNANCE AND DATA QUALITY SOLUTIONS | |||||||||||||||||||||||||||
Wednesday
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The erwin EDGE Danny Sandwell, Product Marketing Director, erwin, Inc. erwin, Inc. has spent the last three years transforming its industry-leading data modeling software into the ultimate data governance platform that includes enterprise modeling, data stewardship capabilities, metadata management and intelligent automation. See how these disciplines work in tandem for data-driven insights, agile innovation and business transformation all while mitigating risks to ensure regulatory compliance and peak operational performance. Level of Audience |
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Wednesday
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Aligning Data Policies to Make Information Quality Job #1 Jim Orrison, Principal Consultant, XTIVIA Most industries are high-volume, low-margin in nature and must follow an “operational discipline” to survive and then an “operational obsession” to thrive. Manufacturing and Retail know well that Quality is critical to success and catastrophic in failure. Therefore, Data Governance, when making Quality a Deming-like focus, provides a sharp objective all that one undertakes. Data Policies can and SHOULD be defined in all components of the Data ecosystem: Storage, Architecture, Reference Data, Entities, Classification, Security, Integration, Sourcing and Quality. However, most practitioners struggle to find the glue and catalyst for these Policies to move from words to action. This presentation reviews organizations who have aligned their policies to Business Objectives but motivated them to action in measuring Data Quality. In pursuing Data Quality as the scorecard, Data Policies take life to help achieve the larger organizational goal. Likewise, ineffective policies will be refactored, rather than ignored, to create laudable objectives with unquestionable return. Learning Points will be presented through a variety of industry examples in:
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Wednesday
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What's in a Business Glossary Anyway? Gal Ziton, Co-founder & CTO, Octopai Data Dictionary? Business Glossary? There's a lot of terminology floating around out there, so how well can we differentiate between these? What are the benefits of one over the other? What’s the role of metadata management in each?
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Wednesday
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Syniti End to End Data Management Platform: Powered by AI, Knowledge Graph, Crowdsourcing and Deep Guidance Matt Wagnon, Syniti We live in a Google/ Amazon world where information, about anything, is at our fingertips. Technological advances and automation and UX has made our personal lives better in many ways. Why shouldn’t these same advances improve your work life as well. Join us too see how AI, Machine Learning, Crowdsourcing, Cloud, Microservices and more is being applied to the data management and data governance space to make your life and your data better, enabling the problems of today and tomorrow… See how our AI engine and Knowledge graph enable and tie together a end to end data management framework that can start enabling strategic business initiatives for you today:
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| 11:15 - 11:30 Room Change | |||||||||||||||||||||||||||
| 11:30 - 12:15 CONCURRENT SESSIONS | |||||||||||||||||||||||||||
Wednesday
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Move Beyond Risk: Build a Data Governance Program That Pays for
Itself Curtis Mischler, Management Consultant, Delta Dental of Michigan Justifying your Data Governance Program as an essential component of Enterprise Risk Management can be very successful, but it is based on fear of the headline or non-compliance or negative outcome, and benefits can be hard to measure (how do you prove something would have happened without Data Governance?). Delta Dental of Michigan (DDMI) has taken the approach that their Data Governance Program should also be opportunity-driven and "pay for itself". This has created an environment where funding is assured (demonstrated savings to date more than pay for the cost of the program), the narrative is tangible and positive (real-world benefits rather than potential avoided disasters), and the CDO, CIO, and other executives actively look for opportunities where Data Governance can play a role. In this presentation you will learn:
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Wednesday
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How Are You Managing Your Data Governance Program if You Aren’t Measuring
It? Amirah Fayek, Manager, Corporate Planning and Performance, The Canadian Medical Protective Association Peter Drucker was right when he wrote: “What gets measured gets managed.” Is your data governance program working? How do you know? Performance measurement is a critical component to successfully managing data governance and ensuring impact and effectiveness of your efforts. Whether you are struggling to determine impact, or demonstrate the value of the program across your organization, developing a measurement framework will help you tell your story. This presentation describes and demonstrates how to go about developing a useful performance framework and measure the maturity of your data governance program. See first-hand the evolution from a strategy document and roadmap, to creation of a program logic model, measurement and reporting. Primary takeaways:
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Wednesday
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How to Prepare for a Successful Software Implementation and Roll Out Data Governance Tamara Dusch, Manager of Data Governance and Regulatory Reporting, Safety National Nam Tran, Director of Global Data Governance Practice, Infogix Safety National, a member of Tokio Marine Group, is a leading specialty insurance and reinsurance provider. Safety National kicked off their Data Governance software implementation in early 2018. As with any type of implementation, including data governance, hindsight is always 20/20. Therefore we will take a look back on the journey and share our step-by-step process. Some of the key needs for implementation that we will explore include:
We will also share the result of the implementation and the current state of Safety National’s data governance program. Check out this session and you will learn how to prepare for and have a successful data governance implementation in your company. Level of Audience |
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Wednesday
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Developing an Academic Curriculum for Data Governance David Loshin, President, Knowledge Integrity Despite the growing importance of data governance and demand for professionals skilled in the practices and procedures for data governance and data quality, there are few professional academic programs that provide any kind of concentration or focus on developing data governance skills. In this talk, I share my experience in assessing the need and in developing coursework to provide post-graduate training in information governance, data quality, and information risk management, and our plan for engaging students and inspiring professional development. Attendees will hear about:
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Wednesday
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Enhancing Precision Marketing with Data - The DPZ Journey Cliff Miller, Enterprise Data Architect, Domino's Pizza We’ll explore how Domino’s elevated our game in the arena of targeted marketing and how our master data/governance helped us advance that objective, where data quality provides sales quantity. Level of Audience |
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| 12:15 - 1:30 LUNCH | |||||||||||||||||||||||||||
| 1:30- 2:15 CONCURRENT SESSIONS | |||||||||||||||||||||||||||
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Data Quality 2.0: How to Unlock Value throughout the Organization Philippe Bettler, Director, Business Ontology, Dun & Bradstreet Data quality has been at the center of organization’s KPIs and objectives for the longest time, tracking availability, accuracy, timeliness and other metrics of data assets across boundaries. As more tools have become available, data quality actors have refined their deep and vertical understanding of data quality. However, the scale and complexity of data assets has exploded, driving a deeper trench between data producers and consumers where the semantic of data and its context has been lost along the way. As regulatory and efficiency pressures mount, other dimensions of quality including unicity - identification, deeper context, lineage are becoming essential to facilitate more clarity and efficiency in the communication between cross-functional teams. In this presentation, we will cover the following topics:
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Dos and Don'ts for Emerging Data Governance Programs Rene Rydberg, Manager, Data Strategy and Governance, John H. Wiley & Sons Many data governance programs emerge from a senior leader recognizing the need for governance, and charge an aspiring practitioner with program development, with very little direction or guidance given. The aspiring practitioner very frequently cannot find training or guidance within their organization, and looks to Google which can provide a wealth of information, but cannot tell the practitioner how well aligned each model is to their organization, goals, or drivers. This presentation aims to communicate several easily avoidable pitfalls that will not be apparent to the leader of an immature program. Such as:
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Wednesday
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A Marathon not a Sprint: Using GDPR to Add Value and Sustain Gains
Post 2018 Katherine O'Keefe, Data Governance & Privacy Consultant, Castlebridge GDPR has landed, but it’s not “back to business as usual”. We’re at the start of a new normal, and it’s a marathon not a sprint. As the hype and panic about GDPR implementation begins to settle, it’s important not to assume the race is won (or lost) and lose focus. Instead, you can leverage GDPR compliance to sustain benefit for your organization. Katherine will discuss how to develop and sustain business value from GDPR compliance. Going beyond bare minimum “lip-service” to compliance and instead fostering an ethical compliance culture can be a competitive differentiator for organizations as well as generating business value internally. Key takeaways include:
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Sutter Health's Data Governance Journey Danielle Reno, Executive Director of Strategy & Operations, Sutter Health Amber Johnson, Director of Enterprise Data Governance, Sutter Health Danielle Reno, Executive Director of Strategy & Operations at Sutter Health Information Services, oversees the Enterprise Data Governance for Sutter Health system-wide, and provides strategic insight and tactical best practices for governance to support Data Quality, Security, Privacy, and Regulatory Compliance. Danielle will share Sutter Health's data governance journey over the past 5 years, including:
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Wednesday
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How Far You’ll Go: Wayfinding the Path to Data Maturity Cynthia Parsons, Consultant, IT Data & Analytics, Nationwide Insurance Hannah Wamble, Specialist, IT Data and Analytics, Nationwide Insurance It has been said, “Don’t turn your back on the ocean”, because when least expected the tide will come in and knock you off your feet. As with the ocean, taking one’s “eyes off the prize” of data maturity, will lead to a tide of competing priorities that easily overtake and drown data maturity efforts. At Nationwide, we have pursued data maturity for a long time; however, it wasn’t until 2017 as an industry accepted model was engaged that we gained the needed focus. In this session, attendees will learn about:
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Implementing an Effective Data Governance Communication Plan Steve Zagoudis, CEO, MetaGovernance Identifying the right stakeholders, then knowing the wants and needs of this audience is the most critical aspect of defining and implementing a Data Governance Communication Plan. Targeted messaging needs to resonate with the different stakeholders associated with Data Governance across the organization, and amongst external stakeholders. Effective Data Governance communication requires identifying the audience and providing the needed communication in the vocabulary associated with the different business processes, risks, data subjects and objectives. Sustainable Data Governance success requires communicating the degree to which business units are interdependent. Understanding the relationship between business units and the data they own, manage, and consume provides a clear path to defining these stakeholders. This session provides proven techniques to identify the different stakeholder groups and understanding how to reframe and deliver the needed communication messages based on their specific business drivers and data usage. During this session, you will learn:
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| 2:15 - 2:30 Room Change | |||||||||||||||||||||||||||
| 2:30
- 3:15 CONCURRENT SESSIONS |
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ROI on Data Quality Sally McCormack, Competency Director, Data Quality, Datasource Consulting, an EXL Company We all know that Data Quality is crucial to any company's data management program, but how do you build a data quality program based on business value? After all, every initiative is only as good as the value it provides. This presentation will elaborate and provide a roadmap to help attendees:
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Data Governance Top Down and Bottom Up Carmen DiFelice, Manager, Data Quality and Governance, Independence Blue Cross Learn how the Data Governance team at Independence Blue Cross delivered value to business stakeholders by publishing interactive executive reports with drilldown capabilities which have engaged analysts across the organization in standardizing business terminology, defining additional business metrics, refining data definitions and ensuring better data quality. In this session, we will step through a case study of how the team…
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From Spin to Control: Our Journey to Data Governance Carl Sarrazolla, Enterprise Data Architect, Lamb Weston Holdings, Inc. This presentation will share how Lamb Weston developed its Data Architecture/Governance strategy as it spun off from its parent company to become an independent publicly traded company. What we'll share in this presentation:
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Implementing Data Governance Across Competing Organizations-A Case
Study Tonmoy Dasgupta, IT Oversight & Management, Arkansas Insurance Department Learn how the Arkansas State Insurance Department designed and implemented an award-winning Data Governance Program that reached across the health insurance industry and across public-private sectors to ensure compliance with the Affordable Care Act for the State of Arkansas. Some of the topics he will cover include:
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Building an Effective Business Glossary: Using Enterprise
Definitions to Strengthen Your Governance and Improve Your Data Quality Gary Jordan, Sr. Principal Business Systems Analyst, Red Hat Any effort to build an Enterprise Business Glossary is challenging. Bringing together the necessary groups and getting them to agree on even the simplest definitions is an enormous challenge. Yet these efforts pay rich rewards. This a case study of our 3 year effort to build a strong Enterprise Business Glossary. You will learn how to:
Standardized terms that are used consistently across the enterprise are powerful tools for building an architectural framework that will support enterprise governance and lead to improved data quality. Level of AudienceIntroductory |
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| 3:15- 3:30 Coffee Break | |||||||||||||||||||||||||||
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KEYNOTE PANEL: Emerging Trends and Future Considerations for Data Governance Moderator: Malcolm Chisholm, Chief Innovation Officer, First San Francisco Partners Panelists: Michele Koch, Director of Enterprise Data Intelligence and the Data Governance Office, Navient John Ladley, Principal, Sonrai Solution David Plotkin, Director of Metadata Services, MUFG Sunil Soares, Founder & Managing Partner, Information Asset James Tyo, VP, Chief Data Officer, Nationwide Over the past few days you have learned how to get started creating a data governance and data quality program, how to enhance and expand your program and many tips on overcoming the challenges. But what does the future hold for data governance and data quality professionals? What emerging trends do you need to consider and what does the future look like for data governance. Topics this panel will discuss:
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